AMD Launches New AI Chips to Take on Leader Nvidia 

Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)
Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)
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AMD Launches New AI Chips to Take on Leader Nvidia 

Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)
Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)

Advanced Micro Devices unveiled its latest artificial intelligence processors on Monday and detailed its plan to develop AI chips over the next two years in a bid to challenge industry leader Nvidia.

At the Computex technology trade show in Taipei, AMD CEO Lisa Su introduced the MI325X accelerator, which is set to be made available in the fourth quarter of 2024.

The race to develop generative artificial intelligence programs has led to towering demand for the advanced chips used in AI data centers able to support these complex applications.

Santa Clara, California-based AMD has been vying to compete against Nvidia, which currently dominates the lucrative market for AI semiconductors and commands about 80% of its share.

Since last year, Nvidia has made it clear to investors that it plans to shorten its release cycle to annually, and now AMD has followed suit.

"AI is clearly our number one priority as a company and we have really harnessed all of the development capability within the company to do that," Su told reporters.

"This annual cadence is something that is there because the market requires newer products and newer capabilities... Every year we have the next big thing such that we always have the most competitive portfolio."

AMD also introduced an upcoming series of chips titled MI350, which is expected to be available in 2025 and will be based on new chip architecture.

Compared to the currently available MI300 series of AI chips, AMD said it expects the MI350 to perform 35 times better in inference - the process of computing generative AI responses. Additionally, AMD revealed the MI400 series, which will arrive in 2026 and will be based on an architecture called "Next".

Investors who have poured billions of dollars into Wall Street's picks-and-shovels trade have been seeking longer-term updates from chip firms, as they evaluate the longevity of the booming genAI rally, which so far has shown no signs of slowing down.

AMD's shares have more than doubled since the start of 2023. This surge still pales in comparison to the more than seven-fold rise in Nvidia's shares in the same time period.

AMD is aiming at an AI chip product cycle of one year. Similarly, Nvidia said it plans to release a new family of AI chips every year.

AMD's Su said in April that the company expects AI chip sales of roughly $4 billion for 2024, an increase of $500 million from its prior estimate.

At the Computex event, AMD also said its latest generation of central processor units (CPUs) will likely be available in the second half of 2024.

While businesses generally prioritize spending on AI chips in data centers, some of AMD's CPUs are used in conjunction with graphics processor units, though the ratio is skewed in favor of GPUs.

AMD detailed architecture for its new neural processing units (NPUs), which are dedicated to handling on-device AI tasks in AI PCs.

Chipmakers have been banking on added AI capabilities to drive growth in the PC market as it emerges from a years-long slump.

PC providers such as HP and Lenovo will release devices which include AMD's AI PC chips. AMD said its processors exceed Microsoft's Copilot+ PC requirements.



Nations Building Their Own AI Models Add to Nvidia's Growing Chip Demand

FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
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Nations Building Their Own AI Models Add to Nvidia's Growing Chip Demand

FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: AI (Artificial Intelligence) letters and robot hand miniature in this illustration, taken June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo

Nations building artificial intelligence models in their own languages are turning to Nvidia's chips, adding to already booming demand as generative AI takes center stage for businesses and governments, a senior executive said on Wednesday.
Nvidia's third-quarter forecast for rising sales of its chips that power AI technology such as OpenAI's ChatGPT failed to meet investors' towering expectations. But the company described new customers coming from around the world, including governments that are now seeking their own AI models and the hardware to support them, Reuters said.
Countries adopting their own AI applications and models will contribute about low double-digit billions to Nvidia's revenue in the financial year ending in January 2025, Chief Financial Officer Colette Kress said on a call with analysts after Nvidia's earnings report.
That's up from an earlier forecast of such sales contributing high single-digit billions to total revenue. Nvidia forecast about $32.5 billion in total revenue in the third quarter ending in October.
"Countries around the world (desire) to have their own generative AI that would be able to incorporate their own language, incorporate their own culture, incorporate their own data in that country," Kress said, describing AI expertise and infrastructure as "national imperatives."
She offered the example of Japan's National Institute of Advanced Industrial Science and Technology, which is building an AI supercomputer featuring thousands of Nvidia H200 graphics processors.
Governments are also turning to AI as a measure to strengthen national security.
"AI models are trained on data and for political entities -particularly nations - their data are secret and their models need to be customized to their unique political, economic, cultural, and scientific needs," said IDC computing semiconductors analyst Shane Rau.
"Therefore, they need to have their own AI models and a custom underlying arrangement of hardware and software."
Washington tightened its controls on exports of cutting-edge chips to China in 2023 as it sought to prevent breakthroughs in AI that would aid China's military, hampering Nvidia's sales in the region.
Businesses have been working to tap into government pushes to build AI platforms in regional languages.
IBM said in May that Saudi Arabia's Data and Artificial Intelligence Authority would train its "ALLaM" Arabic language model using the company's AI platform Watsonx.
Nations that want to create their own AI models can drive growth opportunities for Nvidia's GPUs, on top of the significant investments in the company's hardware from large cloud providers like Microsoft, said Bob O'Donnell, chief analyst at TECHnalysis Research.