Amazon Unveils Nova AI Models, Challenging Tech Giants in Enterprise AI Market

Amazon Launches Nova AI Models for Business, Sweetens Anthropic Deal | PYMNTS.com

At its annual re:Invent conference this week, Amazon unveiled a comprehensive artificial intelligence (AI) strategy and launched new Nova foundation models. The announcements signal Amazon's push to make advanced AI more accessible and cost-effective for enterprises through Amazon Bedrock, its fully managed AI service. Amazon's flurry of AI announcements represents the latest escalation in a heated battle among tech giants to dominate the lucrative enterprise AI market. As Microsoft leverages its partnership with OpenAI and Google develops its Gemini models, Amazon's aggressive expansion of its AI offerings through Bedrock and Nova shows the company is determined to stay strong in helping businesses adopt and deploy AI capabilities. With analysts projecting enterprise AI spending to reach hundreds of billions of dollars by 2025, Amazon's moves underscore how the race to provide AI infrastructure and solutions has become central to Big Tech's competition for corporate customers. The Amazon Nova family of AI models debuts with six models, each optimized for different tasks. Nova Micro delivers the lowest-latency text processing at a low cost, while Nova Premier (coming Q1 2025) handles complex reasoning. Nova Canvas and Nova Reel specialize in image and video generation, respectively. Available through Amazon Bedrock, these models support 200 languages and promise 75% cost savings compared to competitors. "Inside Amazon, we have about 1,000 GenAI applications in motion, and we've had a bird's-eye view of what application builders are still grappling with," said Rohit Prasad, SVP of Amazon Artificial General Intelligence. "Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities." Amazon deepened its Anthropic collaboration with an additional $4 billion investment, becoming a primary cloud provider and training partner. The partnership will leverage AWS Trainium chips in Project Rainier to build new foundation models. For AI safety, Amazon introduced Automated Reasoning checks in Bedrock to prevent hallucinations, plus AI Service Cards for transparency. The company also revealed data center efficiency metrics, reporting a global average PUE of 1.15, with new components targeting 1.08 PUE. "With Automated Reasoning checks, domain experts can more easily build specifications called Automated Reasoning Policies that encapsulate their knowledge in fields such as operational workflows and HR policies," the company wrote on its webpage. "Users of Amazon Bedrock Guardrails can validate generated content against an Automated Reasoning Policy to identify inaccuracies and unstated assumptions, and explain why statements are accurate in a verifiable way. For example, you can configure Automated Reasoning checks to validate answers on topics defined in complex HR policies (which can include constraints on employee tenure, location and performance) and explain why an answer is accurate with supporting evidence." Amazon plans speech-to-speech and "any-to-any" modality models for 2025, expanding Nova's capabilities across media types. The AWS infrastructure -- 108 Availability Zones across 34 regions -- provides a global scale. With overall cloud computing projected to grow, Amazon's strategy targets enterprise AI adoption through integrated hardware, models and partnerships. Success depends on delivering promised price-performance advantages while maintaining enterprise-grade reliability in Amazon Bedrock's unified AI development environment.

Amazon Takes On Microsoft and OpenAI with Nova

The new models include Amazon Nova Micro, Lite, Pro, and Premier. At the ongoing annual AWS re:Invent conference in Las Vegas, the e-commerce giant launched Amazon Nova, its in-house family of foundational models, available exclusively through Amazon Bedrock. This new generation of models is built to support a variety of generative AI tasks, offering businesses an innovative way to lower costs and reduce latency while addressing complex needs. "They're really cost-effective. They're about 75% less expensive than the other leading models in Bedrock," said Amazon chief Andy Jassy. He explained the innovative features of the new Nova models, stressing their affordability and low latency. "The models are integrated with the distillation feature, which allows you to infuse the intelligence of larger models into smaller models that are more cost-effective and offer lower latency," he said. Jassy further added that the Nova models are deeply integrated with Bedrock knowledge bases, enabling users to "use RAG to ground your answers in your own data." Amazon Nova provides both understanding models, which process text, image, or video inputs to generate text outputs, and creative content generation models that can create images and videos from text or images. The understanding models include Amazon Nova Micro, Lite, Pro, and Premier. Each model is optimised for specific tasks, ranging from text summarisation and translation to complex document processing and multimodal interactions. For instance, Amazon Nova Micro is a text-only model that delivers low-latency responses, making it ideal for text-based tasks such as content classification or interactive brainstorming. On the other hand, Amazon Nova Pro supports high-level tasks such as visual question answering and video understanding, making it perfect for enterprise workloads, including financial document analysis and sophisticated AI agent tasks. The model is on par with Anthropic Claude Sonnet 3.5, GPT-4o, and Gemini 1.5 Pro. In terms of creative content generation, Amazon Nova introduces two powerful models, Nova Canvas and Nova Reel. Canvas allows users to generate studio-quality images with editing capabilities, including inpainting and background removal, while Reel enables the creation of professional-quality videos from text prompts and images. These models are highly adaptable, making them suitable for use in marketing, advertising, and entertainment industries. The flexibility of Amazon Nova lies in its ability to be customised. Businesses can fine-tune the models to understand specific industry terminology, ensuring that the models align with brand voice and requirements. This adaptability is particularly beneficial for industries such as legal or healthcare, where precision in language and understanding is critical. With robust safety controls, including watermarking for creative content, and the ability to handle multimodal inputs and generate content across various media types, Amazon Nova is a versatile and scalable solution for businesses. It is currently available in select AWS regions with a pay-as-you-go pricing model.

Amazon Announces its Nova Series of Foundational AI Models

Amazon announced its new suite of foundation models, Nova, at its Amazon Web Services re:Invent conference in Las Vegas on December 3. The models, which are set to be available as part of Amazon Bedrock library on AWS, are expected to have text, audio and video generation capabilities. Speaking at the event, Amazon CEO Andy Jassy said the development of the Nova models was prompted after Amazon took stock of a list of desires from developers. "They want better latency. They want lower cost. They want the ability to do fine-tuning," he said, Reuters reported. The term latency refers to the time delay between the AI model receiving an input and generating an output. The Nova series includes three primary 'understanding' models: Nova Micro, Nova Lite, and Nova Pro. It further announced that it was currently training Amazon Nova Premier, which it described as the most powerful model in the suite, capable of complex tasks and expected to be launched in Q1 2025. The company also launched Amazon Nova Canvas -- aimed at producing "studio quality images with precise control over style and content" -- and Nova Reel, a video generation model through which users will be able to generate video content for marketing, advertising, and entertainment. The creative content generation models include watermarking capabilities to promote responsible AI use, the release also added. The company is planning to release a speech-to-speech as well as a multimodal-to-multimodal model in 2025, the release stated. While the former will be based on understanding streaming speech input in natural language and carrying on human-like interactions, the latter is expected to be able to accept as input text, images, audio, and video, and generate outputs in any of these modalities. This will simplify the development of applications where the same model can be used to perform a wide variety of tasks, Amazon noted. As part of the release, Amazon also listed a number of "AWS partners and customers," including the likes of SAP, Deloitte, Dentsu Digital Inc, and others, who, the company said, are already harnessing the "capabilities and price-performance" of its new series of models. Much like other big tech companies, Amazon's foray into artificial intelligence has been rapid, with the company trying to keep ahead of early starters and market competitors such as OpenAI. This emphasis is further evident from moves such as AWS' partnership with Intel that came earlier in 2024 to make custom AI chips, and the company's earnings call for Q1FY24 where it highlighted an increase in overall capital expenditure in 2024 "driven by higher infrastructure capex to support growth in AWS, including generative AI."

Amazon is going all-in on generative AI with new models -- meet Nova

While shoppers can't get enough of their holiday deals, Amazon is making bold moves in the world of AI. The tech giant revealed a lineup of innovative AI tools and services at its annual re:Invent conference, including Nova. As stated in the company's blog, Nova is "a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock. You can use Amazon Nova to lower costs and latency for almost any generative AI task." For example, Nova Reel was used to create this advertisement for a fictional pasta brand, showcasing the AI's ability to help retailers bring their products to life. Among Amazon's announcements is the launch of new AI models under its proprietary "Titan" family. These models will power various applications, from content generation to personalized recommendations like Rufus. This marks Amazon's bid to compete with industry leaders like OpenAI's ChatGPT and Google's Gemini. Amazon also introduced Amazon Q, a generative AI-powered assistant capable of summarizing documents, enhancing collaboration, and troubleshooting cloud applications. With its ability to integrate into business environments, Amazon Q aims to redefine productivity across industries. To support its AI efforts, Amazon has also expanded its AI infrastructure. One of the standout developments is the upcoming "Rainier" AI supercomputer, built using Amazon's Trainium chips. Set to become one of the most powerful AI clusters globally, Rainier is expected to handle large-scale training workloads for cutting-edge AI models. This focus on infrastructure extends to Amazon's strategic partnership with Anthropic, the prominent AI startup behind the very human-like chatbot Claude. Amazon recently announced an additional $4 billion investment in Anthropic, bringing its total funding to $8 billion. Anthropic will use Amazon Web Services (AWS) as its primary cloud platform, further strengthening Amazon's position as a go-to resource for AI innovation. Another highlight of today's announcement is Amazon's development of Olympus, a generative AI model specifically designed for video and image applications. Olympus promises to make video analysis and editing as simple as entering text prompts, allowing users to find and modify video scenes effortlessly. The model aims to compete with existing tools while setting a new standard for visual AI capabilities. Amazon is also leveraging AI for sustainability. The company plans to pilot a material for carbon removal in its data centers, designed using AI by the startup Orbital Materials. This innovative material, functioning as a CO2 sponge, reflects Amazon's commitment to tackling climate change through technology. The pilot is scheduled to begin in 2025, aligning with Amazon's broader goal of achieving net-zero carbon emissions by 2040. As competition in the AI sector heats up, Amazon's latest advancements underline its aim to remain at the forefront of technological innovation. From expanding infrastructure to introducing cutting-edge models, Amazon is investing heavily in AI, making AI central part of its business strategy. With these developments, Amazon has set the stage for a transformative year in AI, creating tools and solutions that promise to reshape industries, boost productivity, and inspire creativity. For the future of AI being built, it's looking like Amazon wants to lead the way.

Amazon launches Nova AI model family for generating text, images and videos

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As one of the biggest tech companies in the world, Amazon's position in the ongoing generative AI race has been mainly focused on building out its developer tools and platforms -- as well as providing significant funding for startup Anthropic. But no longer: as announced today by CEO Andy Jassy at the annual Amazon Web Services (AWS) re:Invent conference, the e-commerce giant is fielding a whole new AI model family called Nova which allows users to generate text, images, and videos -- pitting it right up against the likes of OpenAI, Google, and even its own investment Anthropic. Several of the new models -- including the text, image, and video offerings -- will supposedly be made available today (though presently, the link provided in Amazon's press release leads to an error page), with a speech-to-speech audio generation model said to be coming in 2025. Super nova The Amazon Nova suite introduces several models tailored to specific use cases, all supporting more than 200 languages: * Amazon Nova Micro: A text-only model optimized for low-latency responses at minimal cost. * Amazon Nova Lite: A multimodal model offering fast processing for text, images, and videos at a very low cost. * Amazon Nova Pro: A multimodal model combining accuracy, speed, and cost-efficiency, designed for a wide range of tasks. * Amazon Nova Premier: The most advanced multimodal model for complex reasoning tasks and for distilling custom models (launching in Q1 2025). * Amazon Nova Canvas: An advanced image generation model for creative content development. * Amazon Nova Reel: A state-of-the-art video generation model offering dynamic capabilities. All models support fine-tuning and knowledge distillation, allowing customers to tailor AI tools to their proprietary data for improved accuracy and performance. These models excel in supporting Retrieval Augmented Generation (RAG), which grounds outputs in specific organizational data to enhance reliability. An image canvas and complex camera controls The Nova Canvas and Reel models highlight Amazon's push into creative content generation: * Nova Canvas: Users can edit images through natural language text prompts and adjust layouts or color schemes. Built-in safety measures, such as watermarking and content moderation, ensure responsible AI usage. * Nova Reel: This video generation model supports advanced features, including camera motion controls like panning, zooming, and 360-degree rotations. It allows for the creation of dynamic six-second videos, with additional functionalities expected in the future. Human evaluations have validated the model's capabilities. Nova Reel outperformed Runway's Gen-3 Alpha in A/B testing, achieving winning rates of 61.4% for video quality and 71.6% for video consistency. Integrated with Bedrock (duh) Unsurprisingly, the Amazon Nova models are deeply integrated with its Bedrock fully managed service that simplifies access to high-performing AI models through a single API. Customers can use this platform to experiment, evaluate, and deploy Nova models or other foundation models available on Bedrock. There are also options for fine-tuning and distillation, allowing users to adapt models to their specific needs. Designed for brands Rohit Prasad, Senior Vice President of Amazon Artificial General Intelligence, noted that Amazon Nova is designed to address common challenges faced by application builders. The models deliver advances in latency, cost-effectiveness, and information grounding, providing flexible and powerful solutions for both internal and external customers. Brands using Amazon Nova tools in advertising have reported significant improvements, including a fivefold increase in the number of products advertised and a doubling of images per product. These tools also enable advertisers to explore new strategies, such as keyword-level creative optimization and video advertising. More to come Amazon has announced plans to expand the Nova family in 2025 with two additional models: * A speech-to-speech model for natural, humanlike verbal interactions. * An any-to-any modality model that can process and generate text, images, audio, and video, enabling seamless translation and editing across modalities. Amazon emphasizes safety and transparency with integrated protections across all Nova models. The company has introduced AWS AI Service Cards, offering clear documentation on use cases, limitations, and responsible AI practices. Features like watermarking and content moderation are embedded to ensure compliance with ethical standards. Amazon Nova represents a significant step in the company's AI journey, bringing innovative generative AI tools to businesses and individuals. As these tools become more widely available, Amazon continues to prioritize delivering real-world value to its customers

Amazon is making its own AI power play with new Nova models

After nearly two years of speculation about when -- or even if -- Amazon would launch its own competitive family of AI models to challenge OpenAI, Google, and Anthropic, the company finally delivered a mic drop moment at its AWS re:Invent conference. Amazon announced a new family of AI models for text, images and video, called Nova, that it claimed have "state-of-the-art intelligence" across many tasks, are 75% cheaper than top-performing industry competitors, and are already powering 1,000 internal Amazon applications The question on many Amazon-watchers minds, however, was: Why? After all, Amazon has invested $8 billion into Anthropic, including an additional $4 billion announced just last week. As part of the deal, Anthropic has also committed to using Amazon's AWS cloud and Amazon's custom AI computer chip, called Trainium, to train and run its models. But Amazon clearly has no intention of relying solely on external partners when it comes to its AI strategy. It does not want to be beholden to Anthropic or any other third party. It wants to drive the cost of its AI offerings to cloud customers way down -- a low-cost strategy that Amazon's AWS cloud computing service has long-pursued. Doing so would be harder if it was only using Anthropic's models. Finally, the company says its customers wanted capabilities, such as video, that Anthropic does not currently offer. The Nova releases are part of a larger, perhaps master plan to blaze its own path towards AI dominance -- which also includes building what it says will be the world's largest AI supercomputer, called Project Rainier, which will include hundreds of thousands of Amazon's Trainium chips working in unison. In a keynote speech yesterday at re:Invent, Amazon CEO Andy Jassy's cited three lessons about how Amazon is developing its AI strategy. One, he said, is that as organizations scale their generative AI applications, "the cost of compute really matters" -- so a cheaper, commoditized model becomes increasingly important. Next, Jassy said AI success won't simply come from a capable model, but one that tackles issues like latency -- the time it takes to get the information or results you need from a model -- as well as user experience and infrastructure issues. In addition, he insisted that Amazon wants to give customers, both internal and external, a diversity of models to choose from. "We have a lot of our internal builders using [Anthropic's] Claude," he said. "But, they're also using Llama models. They're also using Mistral models, and they're also using some of our own models, and they're also using home-grown models themselves." This was surprising at first, he said, but added that "we keep learning the same lesson over and over and over again, which is that there is never going to be one tool to rule the world." This appears to be the crux of Amazon's master AI plan: Ben Thompson, a business and tech analyst and author of Stratechery, wrote yesterday that Jassy's comments about AWS's AI strategy "looks a lot like the AWS strategy generally." Just as AWS offers plenty of choice in processing or databases, AWS will offer AI model choice on its Bedrock service. And that will include Amazon's own Nova models, which just so happen to be the likely-cheapest option for third-party developers. Amazon is betting that AI will become a commodity, he said: "AWS's bet is that AI will be important enough that it won't, in the end, be special at all, which is very much Amazon's sweet spot." However, some argue that lower-cost models aren't the key to building reliable AI applications. Instead, they maintain that performance takes precedence over cost when it comes to creating effective, high-quality solutions. There's a question whether Amazon's Nova models, which it claims are "as good or better" than rival AI software across many, but not all, benchmark tests, will be seen as good enough by developers to persuade them to make the jump. This might be the balance Amazon is aiming for, but it's unclear whether they've struck the right one. I spoke yesterday to Rohit Prasad, Amazon's SVP and head scientist for AGI (artificial general intelligence), who told me that the name Nova was purposeful -- signalling a new and very different generation of AI models of "exceptional quality." When I asked why Amazon did not turn to Anthropic to build new models for it, Prasad pointed to Amazon's own "urgent" internal customer needs such as generating videos -- something he said Anthropic does not offer, to the best of his knowledge. "We have our Prime Video team that wants to recap seasons, and they can do it with the video understanding capability of the model," he said. "Amazon ads needed models that can generate videos." Prasad would not comment on Amazon's long-term roadmap when it comes to its AI models, but he did say that there will be "more paradigm changes to come," including more capable models. In the meantime, he said that the Nova models are available to all internal Amazon teams, including the one the working on a new generative Amazon's Alexa digital assistant (which, as I reported back in June, has been a long, less-than-successful slog). Amazon wants to give its customers choice among models from a variety of different vendors, he emphasized. The question is whether the same strategy that worked so well for Amazon's AWS in the past -- offering low cost, product choice, and flexibility -- will pay off again in this new era of AI?

Amazon unveils 'Nova' AI models, looking to make its mark in the generative AI revolution

LAS VEGAS -- Amazon CEO Andy Jassy returned to the AWS re:Invent stage on Tuesday morning, delivering one of the company's biggest announcements of the day: a new set of AI foundation models called "Nova." Set to be available alongside popular third-party models via the company's Bedrock service, the Nova models represent one of the biggest attempts yet by the tech giant to make its mark in AI. The company is seeking to overcome the perception that it was slow out of the gate in the early days of the generative AI revolution. Jassy, the former AWS CEO, explained that the company developed the new models for internal use and decided to share them publicly. "You guys want a lot. There's a lot to do," Jassy said. "It's one of the reasons why we have continued to work on our own frontier models, and those frontier models have made a tremendous amount of progress in the last four to five months. And we figured if we were finding value out of them, you would probably find value out of them." As detailed by Amazon, the Nova family includes these primary models. In addition, Jassy teased ahead to two additional models in the works for next year, a speech-to-speech model and an "any to any" model as part of the Nova initiative. "This is really multimodal to multimodal," Jassy said. "So you'll be able to input text, speech, images, video and output text, speech, images and video. This is the future of how frontier models can be built and consumed." It's part of a broader effort by Amazon to give AWS customers new AI capabilities, while using AI to bring new momentum to its cloud business. Jassy said the company's insight from its own developers is that customers want a broad selection of AI models to choose from, and he expects this to continue. "We're going to give you the broadest and best functionality you can find anywhere," Jassy said. That, he said, "is going to mean choice." At re:Invent this week, the company is also highlighting progress in its Trainium and Inferentia AI chips, its Amazon Q AI assistant, and its partnership with Anthropic, maker of the Claude chatbot, among many other announcements.

Amazon Nova: this is what the company's new AI models are like - Softonic

Amazon continues to strongly invest in generative artificial intelligence, as demonstrated by the announcement of Amazon Nova. According to the company, it is a new generation of foundational models designed to change the way texts, images, and even videos are created and processed. In its statement, Amazon highlighted its commitment to using AI to simplify the lives of its customers, from shoppers and sellers to advertisers and businesses. This list of new models is capable of working in 200 languages and is available on Amazon Bedrock: According to Amazon, the Nova Micro, Nova Lite, and Nova Pro models are "75% cheaper" than the best models in their respective classes of Amazon Bedrock. Amazon Bedrock is an AWS (Amazon Web Services) service that aims to help companies with the creation of generative AI applications. To achieve this, it offers access to models such as those from Meta or Stability AI, for example, through a single API. This way, companies can experiment with different models to see which one best suits their needs and develop applications based on them.

Amazon introduces Nova family of multimodal AI foundation models - SiliconANGLE

Amazon introduces Nova family of multimodal AI foundation models Amazon Web Services Inc., the cloud division of Amazon.com Inc., today announced a new family of multimodal, generative artificial intelligence models called Nova. Amazon Chief Executive Andy Jassy (pictured) debuted the new family of models on stage at the AWS re:Invent conference in Las Vegas, which including four models focused on text outputs named Micro, Lite, Pro and Premier. Each of them represents a model of increasing size, complexity and capability. The first three are immediately available, whereas the most advanced, Premier, is still in training and will arrive in early 2025. Alongside these four models, Amazon also released two creative models: Nova Canvas, an image generator model, and Nova Reel, a video creation model. Micro, the smallest large language model, is text-only and provides the fastest responses for a very low cost. The model itself was designed assist with text summarization, translation, question and answer, conversational chat and brainstorming. Lite is the next step up providing low-cost multimodal support for processing images, video and text inputs to generate text responses. Amazon said that this model would be worthwhile for real-time customer interactions and document analysis where visuals would be involved. The model can process 300,000 tokens in input, which is around the length of three ordinary novels combined, analyze multiple images at once or up to 30 minutes of video in a single request. Pro, currently the most capable multimodal LLM available from AWS, combines all of the capabilities of the previous models and sets high standards for AI agents. Agents are a type of AI capability that can take action on the behalf of humans without supervision and use third-party tools in order to complete complex activities. For example, Pro could be used to write and send emails, or gather data, complete reports and distribute them without the need for additional external action. According to Amazon, the Pro model can also act as a "teacher" model to help create custom variants of Nova Micro and Lite. Larger, more capable models are often used to act as a source of knowledge to help fine-tune less complex, more efficient "student" models. This allows the smaller model to achieve similar performance but use less computational power and memory. The company stressed that what makes Nova particularly useful is the ability to tailor it to enterprise and industry needs. Foundation models are designed to act as a starting point that can be fine-tuned and adjusted to understand an industry's particular terminology, fit a brand voice and optimize on enterprise data. For example, a healthcare firm might fine-tune Amazon Nova to understand medical terminology, forms and relationships in the industry. Nova Canvas offers state-of-the-art image generation that can create professional images from text prompts or images provided to it. Users can also edit images using text inputs, including identifying objects or spaces in the image that the user wants to change. The user needs only state something such as "shirt," and then provide an English prompt of what they want on the shirt visible in the image and Canvas will change the contents of the shirt to match. The user can also ask Canvas to maintain, or change, backgrounds and color schemes according to user preference. Everything about an original or edited image can be modified according to prompts. Reel produces short videos from text prompts similar to other high-fidelity text-to-video AI models on the market. Prompts can include natural language describing camera motion such as zoom, side-to-side and rotation, which allows the user to easily create cinematic shots. The Amazon Nova text generating models understand and generate content in over 200 languages, with powerful capabilities in English, German, Spanish, French, Italian, Japanese, Korean, Arabic, Simplified Chinese and Russian. The creative models, Canvas and Reel, support only English prompts. The new Nova models, except Premier, are available today on Amazon Bedrock, an AWS managed service that provides access to cloud-hosted frontier AI models from Amazon and other providers, along with a set of tools for building AI applications.

Amazon unveils its Nova collection of AI models to compete with ChatGPT, Google and Microsoft

Amazon on Tuesday unveiled a suite of artificial intelligence models in its boldest move yet to compete with tech giant rivals in the fast-growing generative AI sector. The launch of its own line of foundation models marks Amazon's latest push to strengthen its position against forerunners Microsoft, Google, Meta and OpenAI, the creator of ChatGPT. Until now, Amazon's AI offerings through its AWS cloud service had largely been limited to providing access to models from other companies, including Anthropic, an AI startup it backs. Even if Google, Microsoft and OpenAI have taken the lead on AI, AWS remains the market leader in cloud computing, which is needed to power artificial intelligence tools and products. "Inside Amazon, we have about 1,000 Gen AI applications in motion, and we've had a bird's-eye view of what application builders are still grappling with," said senior vice president Rohit Prasad, who is leading the company's AI efforts. "Our new Amazon Nova models are intended to help with these challenges," he added. The Amazon Nova family includes six AI models handling tasks from text creation to video generation. The company says the models are at least 75 percent cheaper than comparable offerings available on AWS servers and faster than similar models. The initial lineup includes Nova Micro for fast text processing, Nova Lite for basic multimedia tasks, and Nova Premiere, set for an early 2025 release, for complex reasoning. Supporting 200 languages, the models can be customized using customers' proprietary data - a feature Amazon hopes will attract enterprises developing specialized AI applications. Two dedicated models target creative content: Nova Canvas for image generation and Nova Reel for video creation. Amazon emphasized built-in safety measures for the new offerings, which will be available through AWS's Bedrock service, with usage guidelines detailing specific use cases and limitations.

Amazon unveils its new family of Nova foundational models

Amazon CEO Andy Jassy took to the stage at the company's re:Invent conference on Tuesday to show off six new text, image, and video generation models that it calls Amazon Nova. This new family of multimodal generative AIs includes Nova Micro, a text-only model built for low-cost, low-latency responses; Nova Lite, a low-cost multimodal model for processing image, video, and text inputs; and Nova Pro, its general purpose multimodal model that combines "accuracy, speed, and cost for a wide range of tasks," per the company's announcement post. Nova Premier is Amazon's "most capable ... multimodal models for complex reasoning tasks," while Nova Canvas is a dedicated text-to-image engine and Nova Reel is purpose-built to generate video. Recommended Videos The text-based models have been optimized on 15 different languages. Micro offers a 128,000-token context window while both Lite and Pro can handle up to 300,000 tokens (around 225,000 words or 30 minutes of video). The company plans to expand the context windows of its larger models up to 2 million tokens by early next year. Canvas enables users to generate and edit images using natural language prompts. Reels, which will compete with the likes of Gen-3 Alpha, Kling, and Dall-E 3, can generate clips up to six seconds in length from both text prompts and reference images. The video generator also offers camera motion control including pans and zooms. Pasta City, created with Amazon Nova Reel by Amazon Ads "We've continued to work on our own frontier models," Jassy told the assembled crowd, "and those frontier models have made a tremendous amount of progress over the last four to five months. And we figured, if we were finding value out of them, you would probably find value out of them." Jassy also says that these models are both among the least expensive to operate and fastest in their class, though the company has yet to post benchmark data supporting those claims. "We've optimized these models to work with proprietary systems and APIs, so that you can do multiple orchestrated automatic steps -- agent behavior -- much more easily with these models," he said. "So I think these are very compelling." The Micro, Lite, and Pro models (as well as Canvas and Reels) are all currently available to AWS customers. Premiere is set to arrive in Q1 2025.

Amazon launches AI models to challenge rivals

Amazon on Tuesday unveiled a suite of artificial intelligence models in its boldest move yet to compete with tech giant rivals in the fast-growing generative AI sector. The launch of its own line of foundation models marks Amazon's latest push to strengthen its position against forerunners Microsoft, Google, Meta and OpenAI, the creator of ChatGPT. Until now, Amazon's AI offerings through its AWS cloud service had largely been limited to providing access to models from other companies, including Anthropic, an AI startup it backs. Even if Google, Microsoft and OpenAI have taken the lead on AI, AWS remains the market leader in cloud computing, which is needed to power artificial intelligence tools and products. "Inside Amazon, we have about 1,000 Gen AI applications in motion, and we've had a bird's-eye view of what application builders are still grappling with," said senior vice president Rohit Prasad, who is leading the company's AI efforts. "Our new Amazon Nova models are intended to help with these challenges," he added. The Amazon Nova family includes six AI models handling tasks from text creation to video generation. The company says the models are at least 75 percent cheaper than comparable offerings available on AWS servers and faster than similar models. The initial lineup includes Nova Micro for fast text processing, Nova Lite for basic multimedia tasks, and Nova Premiere, set for an early 2025 release, for complex reasoning. Supporting 200 languages, the models can be customized using customers' proprietary data -- a feature Amazon hopes will attract enterprises developing specialized AI applications. Two dedicated models target creative content: Nova Canvas for image generation and Nova Reel for video creation. Amazon emphasized built-in safety measures for the new offerings, which will be available through AWS's Bedrock service, with usage guidelines detailing specific use cases and limitations.

Amazon launches new AI models with competitive performance By Investing.com

LAS VEGAS - Amazon.com Inc (NASDAQ: NASDAQ:AMZN), the $2.25 trillion market cap tech giant with over $620 billion in annual revenue, has unveiled a suite of advanced artificial intelligence models, known as Amazon Nova, at the AWS re:Invent conference. These models are designed to offer a broad spectrum of capabilities across text, image, and video processing tasks, with a focus on speed and cost-efficiency. According to InvestingPro data, Amazon maintains a strong financial position with a Great overall health score, positioning it well for continued AI investments. The Amazon Nova range includes text-to-text and multi-modal models, such as Amazon Nova Micro, which is a text-only model praised for its low latency and cost. The multi-modal models, including Amazon Nova Lite, Pro, and Premier, process inputs across text, images, and videos. Amazon Nova Micro, Lite, and Pro are currently available, while Amazon Nova Premier is expected to be released in the first quarter of 2025. These models have been tested against industry benchmarks and have shown competitive or superior performance in various tasks. Amazon Nova Micro, for instance, demonstrated equal or better performance than similar models from Meta (NASDAQ:META) and Google (NASDAQ:GOOGL) across numerous benchmarks. Similarly, Amazon Nova Lite and Pro have excelled in benchmarks against models from OpenAI and Anthropic. This innovation comes as 31 analysts have revised their earnings expectations upward for the upcoming period, as reported by InvestingPro, suggesting strong market confidence in Amazon's strategic initiatives. Supporting over 200 languages, Amazon Nova Micro, Lite, and Pro offer long context lengths, with the latter two capable of handling up to 300K input tokens. The company also plans to extend this capacity to over 2 million input tokens in early 2025. Amazon asserts that these models are at least 75% less expensive than their counterparts, making them the fastest and most cost-effective options within Amazon Bedrock. Bedrock is a service that integrates high-performing foundation models from various AI companies, accessible through a single API. The Nova models also allow for custom fine-tuning with proprietary data to enhance accuracy and support distillation, enabling the transfer of knowledge from larger models to smaller, more efficient ones. Additionally, they are optimized for agentic applications, which involve complex interactions with organizational systems and data. Beyond processing capabilities, Amazon Nova Canvas and Amazon Nova Reel focus on creative content generation, producing studio-quality images and videos, respectively. These models include safety features such as watermarking and content moderation. In the future, Amazon plans to release a speech-to-speech model and a multimodal-to-multimodal model in 2025, further expanding the Nova range's capabilities. Amazon Nova models are already being integrated by AWS partners and customers, including SAP, Deloitte, Dentsu Digital Inc., Musixmatch, 123RF, Caylent, Palantir Technologies (NASDAQ:PLTR), and Shutterstock (NYSE:SSTK), to enhance their AI-driven services and products. The company emphasizes its commitment to responsible AI development, with AWS AI Service Cards providing transparency on the Nova models' use cases, limitations, and best practices. For more information on Amazon Nova models, interested parties can visit the AWS website. This report is based on a press release statement from Amazon.com, Inc. In other recent news, Amazon Web Services (AWS) has unveiled its new Trainium2 AI chips, which will power the Amazon Elastic (NYSE:ESTC) Compute Cloud (EC2) instances. This development is expected to enhance the capabilities of AI models, with a 30-40% improvement in price performance over current GPU-based EC2 instances. Apple Inc (NASDAQ:AAPL). and AI startup Anthropic are among the first companies to utilize these chips. AWS has also announced upgrades to its Simple Storage Service (S3), enhancing data analytics and management capabilities. The new features, Amazon S3 Tables and Amazon S3 Metadata, aim to streamline data discovery and optimize storage and querying of tabular data. In terms of financial analysis, BMO Capital Markets has reiterated its Outperform rating on Amazon, reflecting confidence in the company's market position. MoffettNathanson maintained its Buy rating, indicating analysts' positive outlook on the tech giant's profitability and strategic developments. These are recent developments in Amazon's operations and strategic decisions.

Amazon's Nova AI Models Are Here to Rival ChatGPT and Google Gemini

Nova Reels can generate AI videos and Nova Canvas can generate AI images. A bit late to the party, but Amazon has introduced its first series of foundation AI models at the AWS re:Invent 2024 event. Amazon has developed a family of AI models called Nova that rivals OpenAI's GPT-4o, Google's Gemini 1.5 Pro, and its own partner Anthropic's Claude 3.5 Sonnet (New) model. There are a total of six models under the Nova family: Nova Micro, Nova Lite, Nova Pro, Nova Premier, Nova Canvas, and Nova Reel. Nova Micro is the smallest text-only model; Nova Lite is a low-cost multimodal model that can process images, videos, and texts; Nova Pro is a capable multimodal model; Nova Premier is the most powerful model designed for complex reasoning tasks (coming in Q1 2025); Nova Canvas can generate AI images and Nova Reel can produce AI videos. Basically, with Nova AI models, Amazon has covered all the use cases of Generative AI. The Nova models will be available on Amazon Bedrock via its API for developers and business customers to power new AI experiences and applications. What surprised me is that Amazon trained the Nova models on its custom Trainium chips and the inferencing is done on its Inferentia chips. Apparently, Amazon didn't rely on Nvidia GPUs to train its foundation models, similar to Google's TPUs. Amazon is going to bring Nova-powered AI experiences through Rufus in the shopping app and Alexa, its voice assistant. As for benchmarks, well, Amazon's Nova Pro model doesn't outrank flagship models like Claude 3.5 Sonnet (New) and GPT-4o, but it's very competitive. You can check out the above table to find the benchmark numbers. Amazon says its most capable Nova Premier model is coming in the first quarter of 2025. Moreover, customers can finetune models based on their proprietary data. So what do you think about Amazon's new Nova AI models? Let us know your thoughts in the comments below.

Amazon launches AI models to challenge rivals

San Francisco (AFP) - Amazon on Tuesday unveiled a suite of artificial intelligence models in its boldest move yet to compete with tech giant rivals in the fast-growing generative AI sector. The launch of its own line of foundation models marks Amazon's latest push to strengthen its position against forerunners Microsoft, Google, Meta and OpenAI, the creator of ChatGPT. Until now, Amazon's AI offerings through its AWS cloud service had largely been limited to providing access to models from other companies, including Anthropic, an AI startup it backs. Even if Google, Microsoft and OpenAI have taken the lead on AI, AWS remains the market leader in cloud computing, which is needed to power artificial intelligence tools and products. "Inside Amazon, we have about 1,000 Gen AI applications in motion, and we've had a bird's-eye view of what application builders are still grappling with," said senior vice president Rohit Prasad, who is leading the company's AI efforts. "Our new Amazon Nova models are intended to help with these challenges," he added. The Amazon Nova family includes six AI models handling tasks from text creation to video generation. The company says the models are at least 75 percent cheaper than comparable offerings available on AWS servers and faster than similar models. The initial lineup includes Nova Micro for fast text processing, Nova Lite for basic multimedia tasks, and Nova Premiere, set for an early 2025 release, for complex reasoning. Supporting 200 languages, the models can be customized using customers' proprietary data - a feature Amazon hopes will attract enterprises developing specialized AI applications. Two dedicated models target creative content: Nova Canvas for image generation and Nova Reel for video creation. Amazon emphasized built-in safety measures for the new offerings, which will be available through AWS's Bedrock service, with usage guidelines detailing specific use cases and limitations.

Amazon Web Services (AWS) Introduces Nova Series of Multimodal AI Models

Nova Canvas and Nova Reel can generate images and videos, respectively Amazon Web Services (AWS), the cloud computing division of the tech giant, introduced the Nova family of artificial intelligence (AI) models on Tuesday at its ongoing re:Invent conference. There are five different large language models (LLMs) under the Nova branding, with three of them capable of only text generation. Apart from this Nova also includes an image-generation model and a video-generation model. The company stated that the new generation of AI models comes with improved intelligence and competitive pricing, and is currently available on Amazon Bedrock. In a post, Amazon detailed the new generation of AI models. Currently, five different LLMs have been introduced as part of the Nova series, and company CEO Andy Jassy highlighted that a sixth AI model dubbed Nova Premier will be launched in 2025. Among the five models, three -- Nova Micro, Nova Lite, and Nova Pro -- can only generate text. However, there are differences between the three models. Micro only accepts text as input and provides the lowest latency responses in the entire series. It has a context window of 1,28,000 tokens. On the other hand, the Nova Lite accepts images, videos, and text as inputs but only generates text. Nova Pro is the most capable multimodal AI model in the trio and can complete a wider range of tasks compared to the other two. Both of these models have a context window of 3,00,000 tokens. Apart from these, there are two more models in the Nova series that Amazon calls "creative content generation models". First is Nova Canvas, an image generation model that accepts text and images as inputs. The company has touted it as a tool for advertising, marketing, and entertainment. Finally, the Nova Reel is a video generation model that can generate short videos from text and image prompts. It also gives users the option to control camera motion with natural language prompts. All of these models are available for the company's enterprise clients and can be availed from the Amazon Bedrock platform.

Amazon launches AI models to challenge rivals

SAN FRANCISCO (AFP) - Amazon unveiled a suite of artificial intelligence (AI) models in its boldest move yet to compete with tech giant rivals in the fast-growing generative AI sector. The launch of its own line of foundation models marks Amazon's latest push to strengthen its position against forerunners Microsoft, Google, Meta and OpenAI, the creator of ChatGPT. Until now, Amazon's AI offerings through its AWS cloud service had largely been limited to providing access to models from other companies, including Anthropic, an AI startup it backs. Even if Google, Microsoft and OpenAI have taken the lead on AI, AWS remains the market leader in cloud computing, which is needed to power AI tools and products. "Inside Amazon, we have about 1,000 Gen AI applications in motion, and we've had a bird's-eye view of what application builders are still grappling with," said senior vice president Rohit Prasad, who is leading the company's AI efforts. "Our new Amazon Nova models are intended to help with these challenges," he added. The Amazon Nova family includes six AI models handling tasks from text creation to video generation. The company said the models are at least 75 per cent cheaper than comparable offerings available on AWS servers and faster than similar models. The initial lineup includes Nova Micro for fast text processing, Nova Lite for basic multimedia tasks, and Nova Premiere, set for an early 2025 release, for complex reasoning. Supporting 200 languages, the models can be customised using customers' proprietary data - a feature Amazon hopes will attract enterprises developing specialised AI applications. Two dedicated models target creative content: Nova Canvas for image generation and Nova Reel for video creation. Amazon emphasised built-in safety measures for the new offerings, which will be available through AWS's Bedrock service, with usage guidelines detailing specific use cases and limitations.

Amazon expands Bedrock with new AI model marketplace, a day after unveiling its own 'Nova'

LAS VEGAS -- Unveiling Amazon's homegrown Nova artificial intelligence models yesterday, Amazon CEO Andy Jassy made a point of saying the company was still committed to offering a broad choice of models beyond its own. This morning at the Amazon Web Services re:Invent conference, the company doubled down on that commitment, adding new AI models from Luma AI and Poolside to the core Amazon Bedrock generative AI managed service. Amazon announced a new Bedrock Marketplace that it says will provide customers with access to specialized foundation models from leading providers, in addition to the models already available in Bedrock. Examples include models for specialized use cases such as biology and unique business applications. The goal is to "streamline your development workflows by discovering and testing these emerging and specialized models through a unified experience," explained Swami Sivasubramanian, Amazon VP of AI and Data, addressing the crowd during a re:Invent keynote Wednesday morning. Amazon said more than 100 models will be available through the marketplace. Bedrock is a key part of Amazon's broader AI strategy, competing against services such as HuggingFace and Google's Vertex AI. Amazon, Google, Microsoft, and other major cloud platforms are looking to AI to fuel their growth, offering a variety of new AI services and tools that tie into their core cloud services. Amazon's Nova will be available initially in Bedrock alongside third-party models in six forms, ranging from a "micro" text-only model to a high-end model for video generation. Jassy, the former AWS CEO, explained yesterday that Amazon developed the new models for internal use before deciding to share them publicly. Opening the annual conference on Monday morning, AWS CEO Matt Garman said AI inference is emerging as a fourth building block for AWS customers, alongside compute, storage, and database services.

Amazon Enters Multimodal AI Race With Nova

Amazon's entry into the multimodal AI space could help it compete with its Big Tech rivals. In the past year, multimodal AI has emerged as a key frontier in model development, with the likes of OpenAI, Google and Microsoft all boosting their leading foundation models with new computer vision functionality. Dubbed Nova, the new family of AI models spans from the lightweight, text-only Nova Micro to high-end multimodal models that can process text, images, and video. Amazon's latest range of AI includes six models with different sizes and capabilities: A Strategic Move Amazon's entry into the multimodal AI race with Nova marks a significant step in its efforts to remain competitive among its Big Tech peers. With the booming demand for AI services, Amazon now competes with its traditional cloud rivals, Microsoft and Google, to deliver foundation models to users. While Microsoft clinched an early lead by establishing Azure as the primary distribution platform for OpenAI's GPT models, the Amazon Web Services (AWS) Bedrock platform offers a wider range of models from different developers. The introduction of Nova builds on this vision of Bedrock as a leading marketplace for foundation models, further expanding the options available to users. As Doug Seven, AWS Director of AI Developer Experience, explained to CCN earlier this year: "Our mantra around Amazon Bedrock is the idea of having both first-party and third-party models available". Compared to other AI on the platform, Nova models faster and at least 75 percent cheaper than models in the same "intelligence class," Amazon said in a statement. Multimodal AI Although Amazon previously offered various multimodal AI models from other developers on Bedrock, the decision to build its own reflects the rising demand for AI capabilities that go beyond text. The company boasted that Nova Canvas and Nova Reel "are helping Amazon Ads remove barriers for sellers and advertisers, leading to new levels of creativity and innovation." Meanwhile, a Nova Pro demonstration showcased the model's ability to accurately describe video footage. Known in the game as "visual understanding," this capability can "help customers generate additional creative material," the firm stated. For example, it said the feature could be used to suggest social media captions for video posts.

Amazon unveils surprise new video and image AI models to compete with the best on the market

Amazon Nova Canvas and Nova Reel look to help ecommerce sellers Amazon has announced new image and video generation models as it steps up its fight to become an AI heavyweight. The company unveiled Amazon Nova Canvas and Nova Reel at its AWS re:Invent 2024 event in Las Vegas, with CEO Andy Jassy revealing the launch as part of a new Nova series of AI models. Both new models will be available in mid 2025, with the launches set to take Amazon into direct competition with the likes of OpenAI and Grok when it comes to image and video creation. The new models look to initially target sellers and other users on Amazon's ecommerce platform, allowing them to quickly and cheaply create media content to enrich their pages. Amazon didn't reveal too much in the way of specifics when it came to the new offerings, but did reveal Nova Canvas will allow users to create and edit images using natural language text inputs, and Nova Reel can provide "studio-quality" video, with features such as camera motion control, 360-degree rotation, and zoom. In a blog post announcing the news, the company noted that customers on its Amazon Ads platform using the new models advertised five times more products and twice as many images per advertised product, widening their reach to buyers across the globe. Looking forward, Jassy also revealed Amazon will be launching a Speech-to-Speech generation model in early 2025, followed by an "Any-to-Any" model in mid-2025. The former will be able to analyse and understand streaming speech input in natural language, with the ability to interpret verbal and nonverbal cues such as tone and cadence, to reply in a natural, human-esque way. The latter, which Jassy described as a true multimodal to multimodal model, will be able to take in text, images, audio, and video, before outputting in whichever mode is required.

Amazon announces a set of Nova AI models

Amazon is rolling out four Nova models in total: Micro, Lite, Pro, and Premier. Each have their own capabilities and sizes. Amazon also introduced a new image generation model, called Nova Canvas; and a video-generation model, Nova Reel. Foundation models serve as a strong base for machine learning tasks, and are often used for generative AI tasks, which include creating new content like images, text, and audio. Instead of training and developing artificial intelligence models from scratch, data scientists often use a foundation model as a starting point to develop their own machine learning models. "Inside Amazon, we have about 1,000 GenAI applications in motion, and we've had a bird's-eye view of what application builders are still grappling with," Rohit Prasad, senior vice president of Amazon artificial general intelligence, said in a statement.

Amazon Nova AI Models And New 'Killer Feature' In Bedrock Are Huge AWS Partner Opportunities

Amazon's new Nova foundational models and Amazon Bedrock latency-optimized inference feature represent massive opportunities for channel partners. Here's why. Amazon's new Nova family of foundational models and new latency-optimized inference on Amazon Bedrock are home runs for Amazon Web Services partners. "We're really excited about the Nova models because there's a massive opportunity there," said Randall Hunt, chief technology officer at AWS Premier Tier Services Partner Caylent. "Think about the applications this can be used for in security cameras, for retail, for sports, for just any sort of generative search that you want to perform over video footage or if you want to generate product videos." "It was possible before, but it was not enabled seamlessly through an API and now it's one API call," said Hunt, whose company's AWS business soared a whopping 80 percent in 2024. "So I'm not having to go and spin up a bunch of servers and deal with dynamic frame sampling and all these other complexities." [Related: AWS CEO re:Invent Keynote: 7 Bold Google, Windows, VMware And 'Game-Changing' Innovation Remarks] Launched at AWS re:Invent 2024 in Las Vegas this week, Amazon Nova foundational models (FMs) are a new generation of AI models aimed at delivering intelligence and industry leading price performance on Amazon Bedrock. Nova's mission is to lower costs and latency for any generative AI task with customers able to build on Nova FMs to analyze documents and videos, understand charts and diagrams, generate video content, and build sophisticated AI agents. New 'Killer Feature': Latency-Optimized Inference For Bedrock Caylent was one of the AWS launch partners for Nova and had early access to the foundational models while collaborating tightly with AWS on the development and price performance. "I'm very impressed with where they arrived at," said Hunt (pictured above). One new feature that will help drive AI and GenAI adoption for Amazon Bedrock and new Nova models is AWS' new latency-optimized inference for FMs in Amazon Bedrock. This new latency-optimized inference unveiled at AWS re:Invent this week aims to deliver faster response times and improved responsiveness for AI applications. Currently, Bedrock's new inference options support Anthropic's Claude 3.5 Haiku model and Meta's Llama 3.1 405B and 70B models to provide reduced latency compared to standard models without compromising accuracy. "The number of people can take advantage of it in a shared tenancy way, which is what the new Bedrock latency optimized inference allows -- that is just going to be a killer feature," said Hunt. "The price point, it comes at a 25 percent price premium to the other Bedrock options. So you get Anthropic 3.5 Haiku and Llama 3.1405b at a 25 percent price premium, but hundreds of tokens per second faster." Irvine, Calif.-based Caylent is one of AWS' most innovative partners in the world. This year, the company won AWS Migration Partner of the Year award, AWS' GenAI Industry Solution Partner of the Year award, and Industry Partner of the Year award for Financial Services for North America. This week, Caylent launched its own Applied Intelligence delivery model dedicated to AI-first cloud services. It is designed to lower the barriers of cloud migration and modernization through the strategic and intentional application of AI at every stage of a customer's cloud evolution. Caylent's CTO said at the end of the day "everyone is just trying to get the highest quality tokens, lowest possible cost" as quickly as possible. "Amazon is enabling them with this new investment in Trainium and Bedrock latency optimized inference," Hunt said. "We're super excited about those." AWS said both Anthropic Claude 3.5 Haiku and Llama models run faster on AWS compared to any other major cloud provider. Amazon's Three Nova Models: Micro, Lite And Pro The Amazon Nova models include three understanding models designed to meet customers' different needs: Micro, Lite And Pro. Amazon Nova Micro is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models. With a context length of 128K tokens and optimized for speed and cost, Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat and brainstorming, and simple mathematical reasoning and coding. Next up is Amazon Nova Lite, a very low-cost multimodal model targeting processing image, video, and text inputs to generate text output. Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy. The model processes inputs up to 300,000 tokens in length and can analyze multiple images or up to 30 minutes of video in a single request. Lastly, Amazon Nova Pro is a multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks I the Nova family. Nova Pro is capable of processing up to 300,000 input tokens and process code bases with over 15,000 lines of code. AWS said Pro sets new standards in multimodal intelligence and agentic workflows that require calling APIs and tools to complete complex workflows. Deloitte Consulting's leading AWS executive, JB McGinnis, said Amazon Nova highlights AWS' commitment to delivering flexibility and choice in AI. "By offering a diverse suite of foundation models, AWS empowers organizations to select the tools best suited for their specific workloads and industries," said McGinnis. "This approach realizes that no two businesses are the same, and ensures that companies can tailor AI solutions to their unique needs." He said Nova shows the shift towards adaptable AI systems to give enterprises the ability to innovate with precision and confidence while maintaining control over costs and scalability. "It's a critical step in enabling broader adoption across industries," McGinnis said.

Amazon announces new slate of AI models

LAS VEGAS, Dec 3 (Reuters) - Amazon (AMZN.O), opens new tab announced a new slate of artificial intelligence platforms, known as foundation models, at its annual AWS conference, allowing for text, image and video generation among other things. The new offerings pit it against rivals like Adobe (ADBE.O), opens new tab and Meta (META.O), opens new tab which are racing to serve customers who want to automate more of their services. Amazon's CEO Andy Jassy announced the new "Nova" models on Tuesday. Developers, he said, had a list of desires, prompting the new services. "They want better latency. They want lower cost. They want the ability to do fine tuning." Reporting by Greg Bensinger in Las Vegas Editing by Chris Reese Our Standards: The Thomson Reuters Trust Principles., opens new tab Suggested Topics:Artificial IntelligenceArtificial Intelligence

Amazon announces new slate of AI models

LAS VEGAS (Reuters) - Amazon announced a new slate of artificial intelligence platforms, known as foundation models, at its annual AWS conference, allowing for text, image and video generation among other things. The new offerings pit it against rivals like Adobe and Meta which are racing to serve customers who want to automate more of their services. Amazon's CEO Andy Jassy announced the new "Nova" models on Tuesday. Developers, he said, had a list of desires, prompting the new services. "They want better latency. They want lower cost. They want the ability to do fine tuning." (Reporting by Greg Bensinger in Las Vegas; Editing by Chris Reese)

Amazon releases new generative AI technology with 200 languages

The technology can be used in 200 languages, including Hebrew, which Amazon said would prevent users from "worrying about language barriers or maintaining separate models for different regions." Amazon introduced Amazon Nova on Tuesday, a new generation of foundation model that is expected to lower the cost and improve the speed of tasks involving generative AI. Amazon claimed that the new Amazon Nova model will enable users to "analyze complex documents and videos, understand charts and diagrams, generate engaging video content, and build sophisticated AI agents." According to the e-commerce giant, users will now be able to input texts, images, or videos for textual output, meaning the new technology can analyze more than words. The three understanding models The technology is based on three understanding models, although Amazon insisted that a fourth is expected soon. The first of the three is Amazon Nova Micro, which Amazon claimed allows for a low-cost and low-latency textual output. The model processes inputs up to 300,000 tokens in length and can analyze multiple images or up to 30 minutes of video in a single request, Amazon claimed, noting that it was also capable of using techniques like model distillation. The second, Amazon Nova Pro, is capable of processing up to 300K input tokens. Amazon claims it efficiently utilizes multimodal intelligence and agentic workflows that require calling APIs and tools to complete complex workflows. This model understands visual questions, and its capabilities include visual question answering and video understanding. Amazon Nova Premier, the third model, is described by Amazon as the "most capable for complex reasoning tasks" and "teacher for distilling custom models." Little is known about the model, but the company announced its expected release in early 2025. All three models were said to have advanced skills in Retrieval-Augmented Generation (RAG), function calling, and agentic applications. Amazon stressed the technology's customization capabilities as a key selling point, noting that a user could "start with a high-quality foundation and adjust it to fit your exact needs. You can fine-tune the models with text, image, and video to understand your industry's terminology, align with your brand voice, and optimize for your specific use cases." Advertisement Adding to Nova's creative capabilities, the company explained that with Amazon Nova Canvas, users could generate "studio-quality" images with precision control over style and content. With Amazon Nova Reel, a second model, users would be able to generate short videos through text prompts and images. Stay updated with the latest news! Subscribe to The Jerusalem Post Newsletter Subscribe Now The technology can be used in 200 languages, including Hebrew, which Amazon said would prevent users from "worrying about language barriers or maintaining separate models for different regions." While generative AI has been a source of ethical concern, Amazon reported that its new technologies were being released with built-in safety controls and that all creative content generation models would include watermarking. Sign up for the Business & Innovation Newsletter >>

Amazon announces its own set of Nova AI models

Later in 2025, Amazon plans to release a speech-to-speech model and "a native multimodal-to-multimodal" model, according to a blog post. Amazon announced these new models at its AWS re:Invent conference, which is happening now in Las Vegas. At the show, the company also said that it's building a huge AI compute cluster that relies on its Trainium 2 chips in partnership with Anthropic (which it has invested $8 billion in). "When completed, it is expected to be the world's largest AI compute cluster reported to date available for Anthropic to build and deploy its future models on," according to Amazon.

Amazon's new AI cloud strategy is ripped straight from the ecommerce playbook that built a $2 trillion juggernaut

Those have been crucial keys to Amazon's e-commerce dominance for the past two decades. Now the tech titan seems to be doubling down on this winning playbook by borrowing pieces of it to propel a new AI strategy from its Amazon Web Services division that is focused in part on low prices and wide selection. To be clear, it'll be a long time before the business world can judge the effectiveness and financial sustainability of Amazon's approach. But, if successful, the game plan would go a long way toward both quieting critics who argue Amazon is playing catchup in the AI wars, while also future-proofing the company's standing as one of the world's most powerful and influential technology corporations for decades to come. Amazon executives have been unveiling crucial pieces of their AI strategy at their flagship AWS Re:Invent conference in Las Vegas this week. One key element is a new portfolio of in-house-built foundation models, known as FMs or LLMs, dubbed Nova, that can handle text, image, and video queries, respectively. The introduction of a new class of Amazon's own AI models could, on the surface, be confounding since the company has already invested $8 billion into Anthropic, the maker of the popular Claude family of Gen AI models. But, as my colleague Sharon Goldman recently noted, Amazon is betting that there "won't be one tool" -- or AI model -- to rule them all. In short, Amazon believes that enterprises will want choice in models, whether from Amazon, Anthropic, or other tech giants like Meta. Amazon actually started pushing this idea of offering a selection of AI models through a single API to business customers when its AWS division first introduced a service called Amazon Bedrock last year. Through Bedrock, business customers could choose from a relatively limited selection of AI models -- but a selection nonetheless -- to train for their own needs and to serve as a foundation for their own Gen AI applications. On Wednesday, Amazon doubled-down on the strategy by announcing Bedrock Marketplace, which offers a total of 100 AI models. The LLMs in the marketplace come from a host of different companies, with some designed for specialized purposes. "[F]inding and evaluating these models can be challenging and costly," Amazon said in its blog post announced the marketplace. "You need to discover them across different services, build abstractions to use them in your applications, and create complex security and governance layers. Amazon Bedrock Marketplace addresses these challenges by providing a single interface to access both specialized and general-purpose [foundation models]." Looking back to Amazon's e-commerce business, a core piece is the Amazon Marketplace, where hundreds of thousands of outside merchants list products for sale that make up 60 percent of all the goods sold through Amazon. Amazon complements the selection of these marketplace sells by also selling its own inventory of goods, including some under its own brand names when a certain product category or price point isn't being filled by the marketplace sellers or Amazon's brand partners. Similarly, Amazon is offering businesses an enterprise AI version of the marketplace that one could imagine will only expand in selection in the future. (It's also worth noting that Amazon's core AWS business offers a marketplace of more than 10,000 software tools covering categories from cybersecurity to data analytics.) Low prices have also been another hallmark of Amazon's retail business. Amazon aggressively matches prices from other retailers, and throws two giant discount events that attract heavy spending and new Prime customers. (The FTC has argued in its antitrust suit against Amazon that the e-commerce giant artificially inflates consumer prices around the web by penalizing merchants who sell products for less at other retailers, but that's a topic for another day.) And sure enough, Amazon CEO Andy Jassy's slide deck unveiling the new Nova AI models started with price. "75% more cost effective," was the first feature called out. Simon Willison, an independent AI researcher, ran a quick test and agreed, writing on the social network app BlueSky that Amazon's "price and performance [are] competitive with the Google Gemini family, which means they are _really_ inexpensive." "With this release I think Amazon may have earned a spot among the top tier of model providers," Willison added. "Maybe we need a new FAANG acronym that covers OpenAI, Anthropic, Google, Meta and Amazon. I like GAMOA." Amazon leaders won't care what the new acronym is called as long as they earn a place in it. If they do, the company's longtime hallmarks of low prices and selection will likely be key reasons why.

Amazon Bedrock's new marketplace kicks off with more than 100 AI models - SiliconANGLE

Amazon Bedrock's new marketplace kicks off with more than 100 AI models Amazon Web Services Inc. is making more large language models accessible to artificial intelligence application developers through the Amazon Bedrock service, while beefing up that platform's capabilities to optimize inference workloads and feed them with the data they need. The latest announcements today at the company's annual extravaganza, AWS re:Invent include the launch of the new Amazon Bedrock Marketplace. It will serve as the main portal for developers to access more than 100 of the most powerful LLMs, including some that can only be found there. Amazon Bedrock, a fully managed service for building and scaling up generative AI applications, already provides access to some of the best-known LLMs from companies including AI21 Labs Inc., Anthropic PBC, Meta Platforms Inc., Cohere Inc., Stability AI Ltd. and Mistral AI. With the launch of the new marketplace, available now, customers will also be able to find the newly announced Amazon Nova models, which are a new generation of foundation models announced by the company yesterday. According to AWS, the Nova models are designed to support a wide range of AI applications with industry-leading price performance. Those aren't the only exclusive offerings though, for Amazon Bedrock users will also get first dibs on new models from Luma AI Inc., Poolside Inc. and Stability AI. More specifically, they'll be able to access Luma AI's Ray 2, which is a multimodal AI model for generative AI video creation that's capable of creating some of the most realistic AI videos ever seen, the company promised. As for Poolside's new Malibu and Point models, these are all about code generation, akin to GitHub Inc.'s Copilot. Stability AI's Stable Diffusion 3.5 Large is one of the best-in-class image generation models launched in the industry thus far. All told, customers will be able to access more than 100 popular, emerging and specialized models via the Amazon Bedrock Marketplace. Once users select the model they're looking for, Amazon Bedrock will also suggest the most appropriate infrastructure setup for training those models and running inference, while providing simple steps they can follow to get them up and running. In addition to more models than ever before, Amazon Bedrock users are also getting access to new techniques such as caching prompts and intelligent prompt routing, which should make it easier for developers to strike the right balance between accuracy, cost and latency. The new "caching prompts" capability enables customers to reduce response latency and infrastructure costs by reducing repeated processing. According to the company, Bedrock does this by securely caching the most common prompts entered by users, in order to reduce costs by up to 90%, and latency by 85%. As an example, a generative AI chat application that's designed to answer legal questions would be able to respond much faster to the most common prompts it receives from users. In doing this, the data it refers to in order to respond to those requests will be cached within its memory, so it's only ever processed once, and simply reused each time it receives a similar prompt. This has the effect of significantly reducing the processing costs, AWS said. Meanwhile, the new "intelligent prompt routing" feature is designed to optimize applications for cost and response quality. Developers can configure Amazon Bedrock to automatically route prompts to different foundation models within a predetermined selection, so it will select the most appropriate model for each request or question. It aims to select the model that will give the desired response with the most accuracy and at the lowest possible cost, AWS explained. It can help to reduce overall costs by up to 30%, without sacrificing accuracy. Elsewhere, AWS is expanding the capabilities of Amazon Bedrock Knowledge Bases, which provides a way for customers to connect their models to proprietary databases in order to boost their accuracy using retrieval-augmented generation or RAG. The company said Knowledge Bases is adding support for structured data retrieval, making it possible for AI models to query data that's stored in traditional Structured Query Language databases. This should significantly expand their knowledge, as most generative AI applications typically only utilize unstructured data such as text, images, audio, video and so on. It will be able to tap into structured data housed in multiple data stores, including the newly announced SageMaker Lakehouse, Amazon S3 data lakes, Amazon Redshift and others. It works by translating user prompts into SQL queries to retrieve the necessary data. The other new capability coming to Knowledge Bases is support for GraphRAG, which enables it to create something akin to "knowledge graphs" that can map the relationships between different pieces of data stored in different locations, making it easier to retrieve. GraphRAG makes it possible to automatically generate these graphs using Amazon Neptune, which is a specialized, fully managed graph database, without any specialist expertise, the company said. One company already doing this is BMW Group, which is using GraphRAG to power its My AI Assistant application to help its employees and customers search for answers to their questions across its vast internal data estate, which spans hundreds of data stores. Lastly, in a related announcement, Bedrock is getting new "data automation" capabilities that make it simple for unstructured multimodal information to be transformed into structured data, so it can be analyzed more easily. As AWS explains, the vast majority of enterprise data is unstructured, contained in things such as documents, videos and image files. But analyzing this information is not easy, since most analytics tools only work with structured data formats. Amazon Bedrock Data Automation is a new feature that allows Bedrock to quickly extract unstructured information from documents like PDF files and transform it into a format that these analytics tools can understand. It should be very helpful. For instance, most banks store details of their customer's loans on PDF files, which are tricky to analyze for insights. Traditionally, transforming these files was always a painstaking process that involved manually normalizing details such as the customer's name and date of birth to ensure consistency. This work can now be done much more quickly and efficiently, AWS said. Customers can just set up their predefined defaults, such as outputs based on a data schema, or scene-by-scene descriptions of video stills, and load their unstructured files into an existing, SQL-based database or data warehouse. Once there, the files can easily be analyzed. Moreover, thanks to an integration with the revamped Knowledge Bases, Amazon Bedrock Data Automation can also be used to parse content for RAG applications, improving their accuracy and relevancy, with each response given a confidence score that helps to mitigate the risk of AI hallucinations. Swami Sivasubramanian, vice president of AI and data at AWS, said Amazon Bedrock is enjoying rapid growth thanks to the wide selection of models and capabilities it offers. "It's helping to tackle the biggest roadblocks developers face today, so customers can realize the full potential of generative AI," he said.

Amazon's New Multimodal AI Can Produce Towns Made of Pasta

Amazon has rolled out a new family of "understanding" AI multimodal models that can generate text, image, and video from varying inputs. Collectively known as Nova, Amazon says it is able to "analyze complex documents and videos, understand charts and diagrams, generate engaging video content, and build sophisticated AI agents." Part of Nova is an AI image generator and a video generator. Amazon Nova Canvas is a "state-of-the-art image generation model" that can produce "studio-quality images" offering precise controls over style and content. It has features like inpainting, outpainting, and background removal. Amazon Nova Reel can produce short videos from text prompts or image inputs. Amazon says it can "generate professional-quality video content for marketing, advertising, and entertainment." The company released an ad for a fake pasta brand made by Nova Reel which shows a town made of pasta. It also shared a bunch of other short clips (see below). The company stresses that "all Amazon Nova models include built-in safety controls and creative content generation models include watermarking capabilities to promote responsible AI use." In its press release, Amazon says there are three understanding models about to be rolled out with a fourth one coming soon. The first model is Amazon Nova Micro, a text-only model that operates similarly to ChatGPT. The second is Amazon Nova Lite, a "low-cost" multimodal model that can process image, video, and text inputs to generate text output. Finally, there is Amazona Nova Pro, a "highly capable multimodal model". The fourth one, Amazon Nova Premier, will be its "most capable multimodal model for complex reasoning tasks." Amazon says Nova Premier should be available in early 2025. The new Nova AI foundation models will be available exclusively as part of the Amazon Bedrock model library in Amazon Web Services (AWS). Nova AI was announced during the company AWS re:Invent conference taking place in Las Vegas. The Verge notes that the company also said it is building up a massive AI compute cluster through its partnership with Anthropic that relies on its Trainium 2 chips. "When completed, it is expected to be the world's largest AI compute cluster reported to date available for Anthropic to build and deploy its future models on," adds Amazon.