Amazon unveils AI Factories with Nvidia partnership and launches Trainium3 chip for on-premises AI
21 Sources
[1]
Amazon challenges competitors with on-premises Nvidia 'AI Factories' | TechCrunch
Amazon announced a new product Tuesday called "AI Factories" that allows big corporations and governments to run its AI systems in their own data centers. Or as AWS puts it: customers supply the power and the data center, and AWS plunks in the AI system, manages it, and can tie it into other AWS
[2]
Amazon releases an impressive new AI chip and teases a Nvidia-friendly roadmap | TechCrunch
Amazon Web Services, which has been building its own AI training chips for years now, just introduced a new version known as Trainium3 that comes with some impressive specs. The cloud provider, which made the announcement Tuesday at its AWS re:Invent 2025, also teased the next product in on its AI
[3]
Amazon launches Trainium3 AI accelerator, competing directly against Blackwell Ultra in FP8 performance -- new Trn3 Gen2 UltraServer takes vertical scaling notes from Nvidia's playbook
Amazon Web Services this week introduced its next-generation Trainium3 accelerator for AI training and inference. As AWS puts it, the new processor is twice as fast as its predecessor and is four times more efficient. This makes it one of the best solutions for AI training and inference in terms of
[4]
AWS AI Factories: AI-in-a-box for enterprise datacenters
If sovereignty or on-prem AI matters, the new AI Factories could be for you re:invent Many businesses and government agencies require that all sensitive data stay on-premises for legal or security reasons. If those orgs want to work with AI, they can't rely on regular public clouds, but now they
[5]
Amazon announces new AI chips, closer Nvidia ties -- but it's cloud capacity that matters most
Amazon Web Services' two-track approach to artificial intelligence came into better focus Tuesday as the world's biggest cloud pushed forward with its own custom chips and got closer to Nvidia . During Amazon 's annual AWS Re:Invent 2025 conference in Las Vegas, Amazon Web Services CEO Matt Garman
[6]
Amazon to fuse Nvidia's NVLink into Trainium4 accelerators
Meanwhile, Trainium3 makes its debut promising million-chip training clusters Re:Invent Amazon says that its next generation of homegrown silicon will deliver 6x higher performance thanks to a little help from its buddy Nvidia. At its Re:Invent convention in Las Vegas on Tuesday, Amazon Web
[7]
Amazon introduces new Trainium3 chip offering 4x AI performance
AWS says these customers reported stronger inference performance, faster iteration, and reduced billable compute hours. AWS also offered a first look at Trainium4. The company has not announced a release window, but it confirmed that Trainium4 will deliver another large step in performance. The
[8]
AWS wants to be a part of Nvidia's "AI Factories" - and it could change everything about how your business treats AI
Collaboration including some of the latest hardware around AWS has announced it will be teaming up with Nvidia to develop and build so-called "AI Factories" - hyper-powered facilities bringing together some of the most powerful hardware around to power the next generation of AI. Revealed at AWS
[9]
Amazon unveils new AI chip in battle against Nvidia
San Francisco (United States) (AFP) - Amazon Web Services launched its in-house-built Trainium3 AI chip on Tuesday, marking a significant push to compete with Nvidia in the lucrative market for artificial intelligence computing power. The move intensifies competition in the AI chip market, where
[10]
AWS brings sovereign AI on-prem with new AI Factories alongside Trainium3 and Nvidia GB300 launches - SiliconANGLE
AWS brings sovereign AI on-prem with new AI Factories alongside Trainium3 and Nvidia GB300 launches Amazon Web Services Inc. today announced a set of artificial intelligence infrastructure announcements spanning sovereign on-premises deployments, next-generation custom AI accelerators and the most
[11]
AWS Launches Trainium3 UltraServers, Gives a Peek Into Trainium4 | AIM
At re: Invent 2025, AWS announced the general availability of its new Amazon EC2 Trn3 UltraServers, powered by the Trainium3 chip built on 3nm technology, to help customers train and deploy AI models faster and at lower cost. The company said the new servers deliver up to 4.4x more compute
[12]
Nvidia and AWS expand partnership with specialized AI hardware and software - SiliconANGLE
Nvidia and AWS expand partnership with specialized AI hardware and software Nvidia Corp. and Amazon Web Services Inc. announced the expansion of the two companies' collaboration on new chip technology, networking, cloud infrastructure and open models and physical AI. Fueling scale-up in
[13]
ETtech Explainer: Amazon's latest Tranium chip and what it means for the race - The Economic Times
Amazon Web Services has launched Trainium3, its new AI chip, offering faster performance, more memory, and lower energy use. The next-generation Trainium4 will add Nvidia's NVLink Fusion for even bigger, faster AI servers. These chips give AWS more control, cut costs, and strengthen its position in
[14]
Amazon's AI Chip Trainium2 Hits Multi-Billion Dollar Revenue Run Rate As CEO Andy Jassy Unveils 4X Faster Successor - NVIDIA (NASDAQ:NVDA), Amazon.com (NASDAQ:AMZN)
Amazon.com Inc. (NASDAQ:AMZN) CEO Andy Jassy revealed more insights on the next generation of the company's AI chip, Trainium3, at the AWS re:Invent conference on Wednesday. Four-Times Faster, Lower Power Chip Trainium3, Amazon's AI chip that competes with Nvidia Corp (NASDAQ:NVDA), is four times
[15]
AWS Tranium3 AI Is 'The Best Inference Platform In The World,' CEO Says
Amazon Web Services CEO Matt Garman says the company's newly launched Trainium3 AI accelerator chips are the "best inference platform in the world," while its AI openness strategy is helping to win enterprise customer market share. "We make it so if you want to pull in Gemini models from Google,
[16]
Amazon Is 'All-In
Amazon has ramped up the ASIC race by showcasing Trainium3 server configurations and next-gen Trainium4 ASICs, bringing massive performance and efficiency gains. Amazon's Trainium3 UltraServers & Next-Gen Trainium4 Chips Showcases the Firm's 'All-In' Commitment in the AI Race The race of custom
[17]
Amazon Is Expanding Its AI Chip Ambitions. Should Nvidia Investors Be Worried? | The Motley Fool
Amazon (AMZN 0.85%) is a leading artificial intelligence company that incorporates AI into its vast e-commerce and advertising platforms, as well as being the world's largest cloud computing company. However, it is now taking a key step in expanding its AI empire by rolling out a new AI chip that
[18]
AWS says custom AI chip line becomes multibillion-dollar business, unveils plans for Trainium 4 - The Economic Times
Las Vegas: Amazon Web Services' custom AI chip line, Trainium, is now a multibillion-dollar business, with its Trainium 3 UltraServers available and work underway on the next-generation chip, Trainium 4. Speaking at the company's annual event, AWS re:Invent 2025 in Las Vegas, CEO Matt Garman said
[19]
Amazon to use Nvidia tech in AI chips, roll out new servers
Amazon's AWS cloud computing unit on Tuesday said it will adopt key Nvidia technology in future generations of its artificial intelligence computing chips as the firm ramps up efforts to get major AI customers using its services. AWS, or Amazon Web Services, said it will adopt a technology called
[20]
Amazon to use Nvidia tech in AI chips, roll out new servers
LAS VEGAS, Dec 2 (Reuters) - Amazon.com's AWS cloud computing unit on Tuesday said it will adopt key Nvidia technology in future generations of its artificial intelligence computing chips as the firm ramps up efforts to get major AI customers using its services. AWS, or Amazon Web Services, said
[21]
Trainium 3 explained: Amazon's new AI chip and its NVIDIA-ready roadmap
AWS unveils Trainium 3 to deliver faster, more efficient frontier model training Amazon's newest AI chip arrives at a moment when the global demand for compute is rising faster than the hardware ecosystem can keep up. Trainium 3 is not just a faster successor. It is the centerpiece of a strategy
Share
Copy Link
AWS introduced AI Factories, a fully managed on-premises AI solution built with Nvidia, alongside its new Trainium3 chip that delivers four times more performance than its predecessor. The announcements signal Amazon's dual strategy to accelerate cloud computing capacity while addressing data sovereignty concerns for enterprises and governments requiring local AI infrastructure.
AWS AI Factories Bring On-Premises AI to Enterprise Datacenters
Amazon Web Services announced AWS AI Factories at its re:Invent 2025 conference, a fully managed solution that allows corporations and governments to run AI systems within their own data centers . The service addresses data sovereignty concerns by keeping sensitive information on-premises while AWS handles hardware installation and management. Customers provide the physical space and power, while AWS supplies the AI infrastructure, including compute, storage, and database services that operate like a private AWS Region
4
.This collaboration with Nvidia enables customers to choose between Nvidia Blackwell GPUs or Amazon's new Trainium3 AI chip, combined with AWS networking, storage, and security tools . The service integrates with Amazon Bedrock for model selection and SageMaker for AI training and inference, providing a comprehensive platform for AI workloads without requiring customers to acquire or install hardware themselves
4
. AWS CEO Matt Garman revealed the concept originated from work with Saudi Arabia's Humain to build an "AI Zone" featuring up to 150,000 AI chips4
.
Source: CRN
Trainium3 AI Chip Delivers Major Performance Leap
AWS formally launched its Trainium3 UltraServer, powered by state-of-the-art 3-nanometer Trainium3 chip technology
2
. The third-generation system delivers four times more compute performance, memory bandwidth, and energy efficiency compared to previous generations5
. Each UltraServer hosts 144 chips, and thousands can be linked together to provide up to 1 million Trainium3 chips—ten times the capacity of the previous generation2
.
Source: Digit
The Trainium3 accelerator features dual chiplets equipped with 144 GB of HBM3E memory and peak bandwidth of 4.9 TB/s
3
. With FP8 performance reaching 2,517 MXFP8 TFLOPS, the Trn3 UltraServer packs 0.36 ExaFLOPS of FP8 performance across its 144-chip configuration, matching Nvidia's NVL72 GB300 rack-scale AI systems3
. Early customers including Anthropic, Japan's Karakuri, and Decart have already reduced AI training and inference costs by up to 50% using the new accelerators2
5
.Trainium4 Roadmap Signals Deeper Nvidia Integration
AWS teased its next-generation Trainium4 chip, already in development, which will support NVLink Fusion—Nvidia's high-speed chip interconnect technology
2
. This integration will allow Trainium4-powered systems to interoperate with Nvidia GPUs while leveraging Amazon's lower-cost server rack technology2
. The move could make it easier to attract AI applications built with Nvidia's CUDA platform, which has become the de facto standard for AI workloads2
.
Source: Market Screener
Related Stories
Cloud Computing Capacity Race Intensifies
While AWS AI innovations capture attention, Wall Street analysts emphasize that cloud computing capacity expansion matters most for AWS revenue growth
5
. AWS has added more than 3.8 gigawatts in the past 12 months and plans to add over 12 gigawatts by year-end 2027, potentially supporting up to $150 billion in incremental annual AWS revenue if demand remains strong, according to Wells Fargo analysts5
. Each incremental gigawatt translates to roughly $3 billion of annual cloud revenue5
.AWS re-accelerated to 20.2% year-over-year growth in Q3, the fastest pace since 2022, as the company addresses supply constraints that limited earlier expansion
5
. The dual approach of custom AI chips and on-premises AI infrastructure aims to maintain AWS's lead over Microsoft Azure and Google Cloud during intense competition for AI adoption5
.Market Competition and Timing Challenges
AWS faces stiff competition in the on-premises AI market. Dell's AI Factory with Nvidia captured 3,000 customers and shipped $15.6 billion in AI servers year to date, while HPE's private AI cloud won over 300 new customers
4
. Forrester analysts note that AI spending faces scrutiny as customers demand clear returns on investment, with free cash flow tightening and warnings of a potential dot-com-style bubble4
. Microsoft has also deployed its own Nvidia AI Factories for OpenAI workloads and outlined data centers addressing data sovereignty in local countries . The trend toward enterprise datacenters and hybrid clouds represents an ironic shift for major cloud providers, reminiscent of infrastructure strategies from 2009 .References
Summarized by
Navi
[2]
[4]
Related Stories
Recent Highlights
1
AI Leaders Warn UN Security Council of Existential Risks, Call for Global AI Governance
Policy and Regulation
2
AI Hallucination Nearly Sparked US Military Confrontation With Chinese Ship in Middle East
Technology
3
OpenAI AI Agent Hacks Australian Government Healthcare Website in First-of-Its-Kind Breach
Technology
Recent Highlights
Today's Top Stories
Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Follow topics that matter to you and stay ahead.
