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This work diminished short-term revenue, but was best for customers, much appreciated, and should bode well for customers and AWS longer-term. We're also making progress on many of our newer business investments that have the potential to be important to customers and Amazon long-term. Being intentional about building primitives requires patience. Customers building their own FM must tackle several challenges in getting a model into production. Customers' AI models contain some of their most sensitive data.
Persons: Andy Jassy, Jassy, Jeff Bezos, he's, we've, Martha Stewart, Clinique, we're, We've, bode, We're, I've, iterating, We'd, we'd, Fox, affordably, you've, They're, Anthropic, that's, Claude, Dana, debugs, Slack Organizations: Amazon, Services, AWS, Deal, Prime, MGM, Savings, Regions, Citadel, Target, Storage Service, Netflix, Disney, Max, Paramount, CIA, . Intelligence, Amazon Freight, Carrier, Amazon Shipping, Foods, Drones, Amazon Pharmacy, Amazon Clinic, Robotics, Nvidia, Ricoh, NatWest, FMs, Meta, Bridgewater Associates, Farber Cancer Institute, Delta Air Lines, Intuit, KT, Lonely, LexisNexis, Netsmart, Pfizer, PGA, Rocket Companies, Siemens, Media, Inc Locations: North America, U.S, Europe, India, Brazil, Australia, Mexico, Middle East, Africa, Malaysia, New Zealand, Kingdom of Saudi Arabia, Thailand, Berlin, Hulu, Amdocs, Genomics England, GoDaddy, GenAI
Google is trying to make cloud computing more affordable with a custom-built Arm -based server chip. With the new Arm-based chip, Google is playing catch-up with rivals such as Amazon and Microsoft, which have been employing a similar strategy for years. Google has used Arm-based server computers for internal purposes to run YouTube advertising, the BigTable and Spanner databases and the BigQuery data analytics tool. Arm chips, which are popular in smartphones, offer a shorter set of instructions than x86 chips, which are commonly found in PCs. Axion offers 30% better performance than the fastest general-purpose Arm-based virtual machines in the cloud and 50% better performance than than comparable VMs based on x86, Google said.
Persons: Chirag, Gartner, Graviton, Alibaba, Thomas Kurian, Dekate, Christina Malbon Organizations: Google, Microsoft, Amazon, Gartner, Amazon Web Services, Chirag Dekate, CNBC, Oracle, Arm Holdings, AMD, Intel Locations: Las Vegas, Sprinklr
It led to a shortage of Nvidia's chips as companies raced to incorporate similar generative AI technologies into their products. Amazon's own Trainium2 chips are built for training AI models, including the sort that AI chatbots like OpenAI's ChatGPT and its competitors run on. More than 50,000 AWS customers are already using Graviton chips, Amazon said. Finally, as part of its deepening relationship with Nvidia, AWS said it will operate more than 16,000 Nvidia GH200 Grace Hopper Superchips, which contain Nvidia GPUs and Nvidia's Arm-based general-purpose processors. AWS didn't announce release dates for virtual-machine instances with Nvidia H200 chips, nor instances relying on its Trainium2 silicon.
Persons: Maia, Grace Hopper Superchips, Deepwater's Gene Munster Organizations: Services, Nvidia, Microsoft, Big, Intel, AMD, AWS Locations: Las Vegas, Graviton
The logo of Amazon is seen at the company's logistics centre in Boves, France, October 6, 2021 REUTERS/Pascal Rossignol/File Photo Acquire Licensing RightsNov 28 (Reuters) - Amazon.com (AMZN.O) on Tuesday introduced its newest data center chip for its cloud computing service as competition with Microsoft (MSFT.O) to dominate the market for artificial intelligence heats up. At a conference in Las Vegas, Amazon Web Services Chief Executive Adam Selipsky announced Graviton4, the cloud firm's fourth custom central processor chip, which it said is 30% faster than its predecessor. The news comes weeks after Microsoft announced its own custom chip called Cobalt designed to compete with Amazon's Graviton series. Reporting by Yuvraj Malik in Bangalore and Stephen Nellis in San FranciscoOur Standards: The Thomson Reuters Trust Principles.
Persons: Pascal, Adam Selipsky, Graviton4, Amazon's, Yuvraj Malik, Stephen Nellis Organizations: Microsoft, Web Services, Thomson Locations: Boves, France, Las Vegas, Bangalore, San Francisco
A custom-built rack for the Maia 100 AI Accelerator and its "sidekick" inside a thermal chamber at a Microsoft lab in Redmond, Washington. The first, its Maia 100 artificial intelligence chip, could compete with Nvidia's highly sought-after AI graphics processing units. In addition to designing the Maia chip, Microsoft has devised custom liquid-cooled hardware called Sidekicks that fit in racks right next to racks containing Maia servers. Moving from GPUs to AWS Trainium AI chips can be more complicated than migrating from Intel Xeons to Gravitons, though. WATCH: Nvidia notches tenth straight day of gains, driven by new AI chip announcement
Persons: Maia, Nvidia's, Rani Borkar, Borkar, OpenAI, OpenAI's, We've, they've, Colette Kress, Steve Tuck, Tuck, Graviton, Dave Brown, Brown Organizations: Microsoft, Intel, Google, CNBC, Amazon, Services, Nvidia, AMD, Computer, Companies, SQL, AWS Locations: Redmond , Washington, Seattle, New York, Gravitons
Microsoft said it does not plan to sell the chips but instead will use them to power its own subscription software offerings and as part of its Azure cloud computing service. Microsoft and other tech giants such as Alphabet are grappling with the high cost of delivering AI services, which can be 10 times greater than for traditional services such as search engines. The Maia chip, they said, is optimized for that work. Microsoft also said that next year it will offer its Azure customers cloud services that run on the newest flagship chips from Nvidia (NVDA.O) and Advanced Micro Devices. He said the Maia chip would allow Microsoft to sell AI services in the cloud until personal computers and phones are powerful enough to handle them.
Persons: Maia, OpenAI, Scott Guthrie, Ben Bajarin, Bajarin, Microsoft's Guthrie, Guthrie, Rani Borkar, Borkar, Stephen Nellis, Edmund Klamann Organizations: Reuters, Microsoft, REUTERS Acquire, Wednesday, Ignite, Nvidia, Devices, Amazon Web Services, Arm Holdings, Amazon, Taiwan Semiconductor Manufacturing, Thomson Locations: Redmond , Washington, Seattle, San Francisco
Arm's big break came in 1993, when Apple launched its early handheld Newton device on the Arm610 processor. Arm's big break came in 1993 when Apple released its handheld Newton device on the Arm610 processor. Apple moved to its own Arm-based processors in Mac computers in 2020, breaking away from the Intel x86 processors that had powered them for 15 years. Qualcomm is another major customer making its latest PC processors using Arm, although that relationship is strained. This simplification is also making Arm the choice for non-chip companies like Apple, Amazon, Google and Microsoft designing their own custom silicon.
Persons: Haas, Richard Grisenthwaite, I've, Grisenthwaite, Japan's SoftBank, Grace Hopper Superchip, Grace Hopper, they're, Cash, SoftBank, Softbank, Rene Haas, CNBC's Katie Tarasov, Katie Brigham Arm, It's, Daniel Newman, Newman, O'Donnell, Apple, Nuvia, Arm's Grisenthwaite, They've, " O'Donnell, Max Thurlow Organizations: Apple, Acorn Computers, Texas, Nokia, Nvidia, Google, Samsung, Qualcomm, Futurum, Intel, Amazon, AMD, Cruise, Microsoft, Arm Holdings Locations: Cambridge, NXP, U.S, Arizona , California, North Carolina, Texas, Norway, Sweden, France, India, San Jose , California, IoT, England, China
In 1990, Arm (NASDAQ: ARM), then a startup based in Cambridge, UK, filled the void with high-performance, power-efficient, and small form-factor processor technology for battery-run products. The processor architecture was so robust that AI functions could be built into the devices themselves – voice, touch, and facial recognition. Delivering the right compute, from cloud to edgeEnormous cloud data centers process most of the world's big AI workloads today because they can do so more efficiently at scale. Arm technology is also designed to follow and support AI workloads as they increasingly get distributed outside the cloud to edge devices. As the most pervasive CPU architecture ever, Arm is at the forefront of the AI/ML revolution, powering billions of devices from smartphones to cloud servers.
Persons: Grace Hopper, We're Organizations: NASDAQ, ARM, Intel, NVIDIA, Insider Studios Locations: Cambridge, UK
Arm is hoping for a valuation of up to $70 billion in the IPO, which will launch on the Nasdaq next month. Arm and its owner SoftBank Group have set aside 10% of the shares to be sold in the IPO for its clients, the sources said. Its close relationship with Arm has helped it design chips that curbed its reliance on Intel as a supplier. Many technology companies that seek to make their own chips using Arm’s designs turn to TSMC for its low-cost manufacturing. None of these companies’ investments in Arm’s IPO are certain.
Persons: Dado Ruvic, , Jack Gold, SoftBank, Apple spokespeople, Jay Lee, Masayoshi Son, Son, TSMC, Dylan Patel Organizations: FRANCISCO, Reuters, Arm Holdings, REUTERS, Apple, Intel, Nvidia, Microsoft, Samsung Electronics, Nasdaq, Gold Associates, SoftBank, Devices Inc, APPLE, SAMSUNG, Samsung, MICROSOFT, Devices, Vision Fund Locations: Switzerland, Japan
Arm is hoping for a valuation of up to $70 billion in the IPO, which will launch on the Nasdaq next month. Arm and its owner SoftBank Group (9984.T) have set aside 10% of the shares to be sold in the IPO for its clients, the sources said. Its close relationship with Arm has helped it design chips that curbed its reliance on Intel as a supplier. Many technology companies that seek to make their own chips using Arm's designs turn to TSMC for its low-cost manufacturing. None of these companies' investments in Arm's IPO are certain.
Persons: Dado Ruvic, Jack Gold, SoftBank, Apple spokespeople, Jay Lee, Masayoshi Son, Son, TSMC, Dylan Patel, Milana Vinn, Stephen Nellis, Max Cherney, Greg Roumeliotis, Matthew Lewis Organizations: REUTERS, FRANCISCO, Arm Holdings, Apple, Intel, Nvidia, Microsoft, Samsung Electronics, Reuters, Nasdaq, Gold Associates, SoftBank, Devices Inc, APPLE, SAMSUNG, Samsung, MICROSOFT, Devices, Vision Fund, Thomson Locations: Switzerland, Japan, New York, San Francisco
In this article METAGOOGLMSFTAMZN Follow your favorite stocks CREATE FREE ACCOUNTChips as 'true differentiation'In the long run, Dekate said, Amazon's custom silicon could give it an edge in generative AI. Microsoft has yet to announce the Athena AI chip it's been working on, reportedly in partnership with AMD. So you train the machine learning models and then you run inference against those trained models," Wood said. Amazon's custom chips, from left to right, Inferentia, Trainium and Graviton are shown at Amazon's Seattle headquarters on July 13, 2023. An Amazon employee works on custom AI chips, in a jacket branded with AWS' chip Inferentia, at the AWS chip lab in Austin, Texas, on July 25, 2023.
Persons: Dekate, It's, Nitro, Stacy Rasgon, Matt Wood, Wood, Trainium, Nvidia H100s, Rasgon, Joseph Huerta, they're, Mai, Lan Tomsen Bukovec, Gartner, Swami Sivasubramanian, Sivasubramanian, Katie Tarasov Organizations: Microsoft, AWS, Amazon, CNBC, AMD, Intel, Bernstein Research, Google, Unit, Nvidia, Seattle, AI21 Labs Locations: Austin , Texas
[1/2] The logo of Amazon is seen at the company logistics center in Lauwin-Planque, northern France, November 15, 2022. REUTERS/Pascal Rossignol/File PhotoNEW YORK, Aug 8 (Reuters) - Amazon.com (AMZN.O) is in talks about joining other technology companies as a cornerstone investor in SoftBank Group Corp's (9984.T) Arm Ltd ahead of its initial public offering (IPO), people familiar with the matter said on Tuesday. Amazon's potential involvement in the IPO, which has not previously been reported, underscores Arm's significance in cloud computing. Amazon Web Services, the internet giant's cloud business, makes its own processing chip called Graviton, using Arm's design. Arm has been in talks with about 10 technology companies, including Intel (INTC.O), Alphabet (GOOGL.O) and Nvidia (NVDA.O), about an investment ahead of its IPO, Reuters has reported.
Persons: Pascal, SoftBank, Echo Wang, Anirban Sen, Jeffrey Dastin, Stephen Nellis, Matthew Lewis Organizations: REUTERS, Web Services, Nasdaq, Reuters, Intel, Nvidia, San, Thomson Locations: Lauwin, France, New York, San Francisco
Further, as machine learning adoption has continued to accelerate, customers have yearned for lower-cost GPUs (the chips most commonly used for machine learning). While some areas of the economy have struggled over the past few years, Amazon Business has thrived. Some people have never heard of Amazon Business, but, our business customers love it. For years, Amazon customers had asked us when we'd offer them an online pharmacy as their frustrations mounted with current providers. More recently, a newer form of machine learning, called Generative AI, has burst onto the scene and promises to significantly accelerate machine learning adoption.
Further, as machine learning adoption has continued to accelerate, customers have yearned for lower-cost GPUs (the chips most commonly used for machine learning). While some areas of the economy have struggled over the past few years, Amazon Business has thrived. Some people have never heard of Amazon Business, but, our business customers love it. For years, Amazon customers had asked us when we'd offer them an online pharmacy as their frustrations mounted with current providers. More recently, a newer form of machine learning, called Generative AI, has burst onto the scene and promises to significantly accelerate machine learning adoption.
Peter Kern, CEO of online travel company Expedia Group , sees the cloud as an area where his company can reduce its fixed costs. Amazon leads the market in cloud computing, with an estimated 39% share. Selipsky said that moving IT jobs to the cloud could help budget-strapped organizations save money, citing customers Agco and Carrier Global . It offers Graviton computing instances based on energy-efficient Arm-based chips, a less expensive alternative to instances using standard AMD and Intel processors. He said AT&T 's DirecTV unit was able to eliminate 20% of computing costs by adopting current-generation Graviton chips.
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