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On Fri, 26 Jul, 4:03 PM UTC
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Amazon Tests AI Chips in Texas Lab, Aims to Cut Nvidia Costs - Amazon.com (NASDAQ:AMZN)
AWS saw a 17% revenue surge, controlling a third of the cloud market. Amazon.com Inc AMZN is making significant strides in artificial intelligence with its homegrown AI chips. In its Austin, Texas, chip lab, Amazon engineers are rigorously testing a new server design that features these AI chips, aiming to reduce reliance on Nvidia Corp's NVDA costly chips, Reuters reports. Amazon's efforts align with similar initiatives by rivals Microsoft Corp MSFT and Google parent Alphabet Inc GOOG GOOGL. Also Read: Nvidia Dominates GPU Market as Generative AI Adoption Grows, Analyst Says Rami Sinno, director of engineering for Amazon's Annapurna Labs, highlighted the growing customer demand for more affordable alternatives to Nvidia. Annapurna Labs, acquired by Amazon in 2015, is integral to this development. Amazon has been developing its Graviton chips, which perform non-AI computing tasks, for nearly a decade. The latest AI chips, Trainium and Inferentia, offer significant cost savings. "The offering of up to 40%, 50% in some cases of improved price and performance means it should be half as expensive as running that same model with Nvidia," said David Brown, Vice President of Compute and Networking at AWS, according to Reuters. Sales at AWS, which accounts for almost 20% of Amazon's total revenue, grew by 17% to $25 billion in the January-March quarter compared to the previous year. AWS holds approximately one-third of the cloud computing market, with Microsoft's Azure at about 25%. Analysts view Nvidia as the primary beneficiary in the AI sector. Mizuho Securities reports that Nvidia controls 70% to 95% of the market share for artificial intelligence accelerators. The Big Tech trio -- Google, Microsoft, and Amazon -- along with Oracle Corp ORCL -- contribute more than 40% of Nvidia's revenue. Amazon stock gained over 40% in the last 12 months, reaching a market cap of $1.87 trillion. Nvidia stock surged over 147% in the last 12 months and currently has a market cap of $2.76 trillion. Investors can gain exposure to the stocks through SPDR S&P 500 SPY and iShares Core S&P 500 ETF IVV. Price Action: AMZN shares traded higher by 1.47% at $182.50 premarket at the last check on Friday. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo by Sundry Photography via Shutterstock Market News and Data brought to you by Benzinga APIs
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Amazon Tests AI Chips in Texas Lab, Aims to Cut Nvidia Costs - Alphabet (NASDAQ:GOOG), Amazon.com (NASDAQ:AMZN)
Amazon.com Inc AMZN is making significant strides in artificial intelligence with its homegrown AI chips. In its Austin, Texas, chip lab, Amazon engineers are rigorously testing a new server design that features these AI chips, aiming to reduce reliance on Nvidia Corp's NVDA costly chips, Reuters reports. Amazon's efforts align with similar initiatives by rivals Microsoft Corp MSFT and Google parent Alphabet Inc GOOG GOOGL. Don't Miss: Here's the AI-powered startup that turns traders into influencers achieving 12% monthly growth - invest in it at only 10 cents per share. Don't miss out on the next Nvidia - you can invest in the future of AI for only $10. Rami Sinno, director of engineering for Amazon's Annapurna Labs, highlighted the growing customer demand for more affordable alternatives to Nvidia. Annapurna Labs, acquired by Amazon in 2015, is integral to this development. Trending: Don't miss the real AI boom - here's how to use just $10 to invest in high growth private tech companies. Amazon has been developing its Graviton chips, which perform non-AI computing tasks, for nearly a decade. The latest AI chips, Trainium and Inferentia, offer significant cost savings. "The offering of up to 40%, 50% in some cases of improved price and performance means it should be half as expensive as running that same model with Nvidia," said David Brown, Vice President of Compute and Networking at AWS, according to Reuters. Sales at AWS, which accounts for almost 20% of Amazon's total revenue, grew by 17% to $25 billion in the January-March quarter compared to the previous year. AWS holds approximately one-third of the cloud computing market, with Microsoft's Azure at about 25%. See Also: America's construction sites are desperate for Robots -- here's how to invest in a house-printing startup who's making them and be a part of a $16 trillion industry. Analysts view Nvidia as the primary beneficiary in the AI sector. Mizuho Securities reports that Nvidia controls 70% to 95% of the market share for artificial intelligence accelerators. The Big Tech trio -- Google, Microsoft, and Amazon -- along with Oracle Corp ORCL -- contribute more than 40% of Nvidia's revenue. Amazon stock gained over 40% in the last 12 months, reaching a market cap of $1.87 trillion. Nvidia stock surged over 147% in the last 12 months and currently has a market cap of $2.76 trillion. Investors can gain exposure to the stocks through SPDR S&P 500 SPY and iShares Core S&P 500 ETF IVV. Price Action: AMZN shares traded higher by 1.47% at $182.50 premarket at the last check on Friday Morning. Read Next: When today's AI startups go public, most of the rapid growth will be behind them -- here's how not to get left out. A billion-dollar investment strategy with minimums as low as $10 -- you can become part of the next big real estate boom today. Market News and Data brought to you by Benzinga APIs
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How Amazon is planning to reduce its reliance on Nvidia's AI chips - Times of India
Amazon is working to develop its own AI chips in a bid to reduce its reliance on Nvidia's processors, a report said, noting that with this chip, the e-commerce giant aims to help customers compute complex calculations and process huge amounts of data in an affordable manner. Citing Amazon executive Rami Sinno, news agency Reuters reports that Amazon's chip lab in Austin, Texas, has a server that is packed with Amazon's artificial intelligence chips that compete with those from market leader Nvidia. Why Amazon is making its own AI chips Amazon is working on creating its own AI chips to reduce its dependence on Nvidia's 'high-priced' processors. These Nvidia chips are currently used to support the AI operations of Amazon Web Services, which is a major revenue source for the company. Sinno, the director of engineering for Amazon's Annapurna Labs that is a part of its cloud business AWS, told the news agency that Amazon's customers have been increasingly demanding more affordable alternatives to Nvidia's chip. "So the offering of up to 40%, 50% in some cases of improved price (and) performance - so it should be half as expensive as running that same model with Nvidia," said David Brown, Vice President, Compute and Networking at AWS. The report said that while the company's AI chip efforts are in a nascent stage, Amazon's Graviton - another chip that performs non-AI computing, has been under development for about a decade and is on its fourth generation. Reportedly, Amazon deployed a quarter million Graviton chips and 80,000 of its custom AI chips during its recent Prime Day event to handle the surge in activity across its platforms. Notably, Amazon is not the only tech giant company that is developing its own AI chips. Its cloud rivals Microsoft and Alphabet are also working on their own versions of AI chips. Meanwhile, in China, local players have started to develop AI chips to meet the requirements. The TOI Tech Desk is a dedicated team of journalists committed to delivering the latest and most relevant news from the world of technology to readers of The Times of India. TOI Tech Desk's news coverage spans a wide spectrum across gadget launches, gadget reviews, trends, in-depth analysis, exclusive reports and breaking stories that impact technology and the digital universe. Be it how-tos or the latest happenings in AI, cybersecurity, personal gadgets, platforms like WhatsApp, Instagram, Facebook and more; TOI Tech Desk brings the news with accuracy and authenticity.
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Amazon 'Relatively Insulated' In Retail Segment, Analysts Bullish About Growth In AWS: AI Contribution To Watch Out For - Alphabet (NASDAQ:GOOG), Amazon.com (NASDAQ:AMZN)
Analysts at Wedbush Securities have sounded an optimistic note about Amazon.com Inc.'s AMZN prospects, thanks to its performance in the retail segment. They are also bullish on Amazon's rising operating margins, growth of the Amazon Web Services business, and AI monetization. What Happened: Ahead of Amazon's second-quarter results, scheduled to be released on Aug. 1, Wedbush analysts have laid out their bull thesis for the company with a price target of $225 in 12 months. The analysts are confident in Amazon's position within their coverage group and have maintained an Outperform rating for the company. Wedbush expects AWS growth of over 18% year-over-year in the second quarter, above the consensus of over 16.9%. "During the call, we will be listening for commentary related to AI's contribution to AWS as well as the broader business," analysts wrote. Amazon's AWS growth accelerated by 400bps in the last quarter, and a modest acceleration is expected in the second quarter. The analysts view the strength of Alphabet Inc.'s GOOG GOOGL Google's Cloud segment as a positive sign for AWS. The analysts are closely monitoring several key factors, including the retail segment's performance, the growth of AWS, and the company's AI monetization. They have also highlighted the potential impact of capital expenditure requirements to support infrastructure and AI investments. Despite some concerns about Amazon's second-quarter revenue guidance and recent questions about Prime Day results, analysts believe that Amazon is relatively insulated from recent competitive threats and continues to gain market share in the retail and e-commerce sectors. "While investor sentiment is broadly positive, we think weak 2Q revenue guidance and more recent questions surrounding Prime Day results early in 3Q have reignited debates related to eCommerce competition." "We believe slowing retail segment growth in 2Q is primarily macro and comp driven this quarter rather than a symptom of larger competitive issues, and our survey work supports our view that Amazon is relatively insulated from recent competitive threats and continues to gain market share of retail and eCommerce," the analysts wrote. See Also: Tesla Bull Cathie Wood's Ark Invest Buys $7.16M Worth Of EV Maker's Shares After Q2 Earnings Reveal Profits Tanked Sharply Why It Matters: Amazon's recent strategic moves further underscore its growth trajectory in the cloud and advertising sectors. Earlier in July, multiple analysts, including Wolfe Research's Shweta Khajuria, predicted an upside for Amazon stock in second-quarter earnings. Khajuria's bull case centers around AWS growth acceleration, margin expansion, and retail share gains. As the second-quarter earnings season approached, JPMorgan analyst Doug Anmuth highlighted Amazon as a top pick, alongside Uber Technologies Inc. and Google. Despite concerns about consumer spending slowdowns, Anmuth remains optimistic about these large-cap names. In June, Amazon disclosed plans to invest billions in Taiwan over the next 15 years to establish data centers, expanding its global footprint in Asia. Price Action: Amazon stock closed at $179.85 on Thursday, down 0.54%. In after-hours trading, the stock rose 0.24%. Year to date, Amazon has gained 19.96%, according to data from Benzinga Pro. Read Next: Tesla Earnings Are Imminent; These Most Accurate Analysts Revise Forecasts Ahead Of Earnings Call Image Via Shutterstock Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Market News and Data brought to you by Benzinga APIs
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Amazon is developing its own AI chips in a secret Texas lab, aiming to reduce reliance on Nvidia's expensive GPUs. This move could potentially save billions in cloud computing costs for Amazon Web Services (AWS).
Amazon, the e-commerce and cloud computing giant, is making significant strides in the artificial intelligence (AI) hardware space. The company has been quietly working on developing its own AI chips in a secret laboratory in Austin, Texas 1. This initiative is part of Amazon's broader strategy to reduce its dependence on Nvidia's expensive graphics processing units (GPUs), which are currently the industry standard for AI computations.
The primary driver behind Amazon's AI chip development is the potential for substantial cost savings. Nvidia's GPUs, while powerful and efficient for AI workloads, come with a hefty price tag. By creating its own chips, Amazon aims to significantly reduce the expenses associated with running AI applications on its cloud platform, Amazon Web Services (AWS) 2.
Amazon's new AI chips are designed to accelerate machine learning tasks, particularly in areas such as natural language processing and image recognition. The company is leveraging its acquisition of Annapurna Labs in 2015 to develop these custom silicon solutions 3. While specific technical details remain undisclosed, industry experts speculate that these chips could offer comparable performance to Nvidia's GPUs at a fraction of the cost.
The development of in-house AI chips could have far-reaching implications for Amazon Web Services, the company's cloud computing arm. AWS is already a leader in the cloud market, and the introduction of cost-effective AI acceleration could further strengthen its position. Analysts are bullish about the growth prospects of AWS, particularly in light of these technological advancements 4.
Amazon's move into AI chip development is part of a broader trend among tech giants to reduce reliance on third-party hardware providers. Companies like Google and Microsoft are also investing in custom chip designs for their cloud and AI operations. This shift could potentially reshape the AI hardware market, challenging Nvidia's dominance and spurring innovation in the sector.
While the potential benefits are significant, Amazon faces several challenges in its AI chip endeavor. Developing chips that can match or exceed the performance of Nvidia's GPUs is a complex task that requires substantial investment and expertise. Moreover, the rapidly evolving nature of AI technology means that Amazon will need to continuously innovate to stay competitive.
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Amazon Web Services unveils new AI chip clusters and supercomputers, shifting focus to Trainium chips to compete with Nvidia in the AI hardware market.
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Amazon is accelerating the development of its Trainium2 AI chip to compete with Nvidia in the $100 billion AI chip market, aiming to reduce reliance on external suppliers and offer cost-effective alternatives for cloud services and AI startups.
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Amazon is set to launch its next-generation AI chip, Trainium 2, aiming to reduce reliance on Nvidia and cut costs for AWS customers. The chip, developed by Amazon's Annapurna Labs, is already being tested by major players in the AI industry.
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Amazon's annual AWS re:Invent conference showcases significant AI innovations, including custom chips and new AI models, driving stock prices up and reinforcing the company's position in the cloud and AI markets.
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Bank of America maintains a Buy rating on Amazon, highlighting the company's leaner structure and potential growth from its AI chip partnership with Intel.
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