Latest news with #MI355
Yahoo
a day ago
- Business
- Yahoo
AMD Sees AI Inference Growing 80% Annually
AMD (NASDAQ:AMD) CEO Lisa Su says AI inferencing demand is set to grow more than 80% annually over the next few years, overtaking training as the primary driver of data-center compute. Warning! GuruFocus has detected 5 Warning Sign with META. Speaking at the Advancing AI 2025 conference in San Jose, Su highlighted an explosion of models tailored to coding, healthcare and finance, and forecast that hundreds of thousands, and eventually millions of purpose-built models will drive massive GPU usage. She reminded the audience that last year AMD projected the data-center AI accelerator total addressable market would expand over 60% annually to $500 billion by 2028and now sees that number trending even higher as inference takes off. Su used the stage to unveil the MI350 GPU series, including the flagship MI355, which delivers a 35 performance leap over its predecessor and 40% more tokens per dollar versus Nvidia's (NASDAQ:NVDA) B200 when running LLMs like DeepSeek-R1 and Llama 3.3. Customers such as Meta (NASDAQ:META), xAI and Microsoft are already preparing upgrades from MI300 to MI350, highlighting growing commercial traction. Su also touted AMD's record 40% share of the AI-accelerator market, powering the world's two fastest supercomputers and serving seven of the top ten model providers with its Instinct chips. Eric Boyd, Microsoft's AI-platform VP, reinforced the momentum, praising AMD's high-capacity memory per chip as a significant advantage for LLM workloads. Why It Matters: With inferencing now the largest driver of AI compute, AMD's optimistic growth outlook and new hardware could translate into accelerated revenue and margin expansion as enterprises race to deploy ever more specialized AI models. This article first appeared on GuruFocus. Sign in to access your portfolio
Yahoo
2 days ago
- Business
- Yahoo
AMD Says New Chips Can Top Nvidia's in Booming AI Chip Field
(Bloomberg) -- Advanced Micro Devices Inc. Chief Executive Officer Lisa Su said her company's latest AI processors can challenge Nvidia Corp. chips in a market she now expects to soar past $500 billion in the next three years. Shuttered NY College Has Alumni Fighting Over Its Future Trump's Military Parade Has Washington Bracing for Tanks and Weaponry NYC Renters Brace for Price Hikes After Broker-Fee Ban Do World's Fairs Still Matter? NY Long Island Rail Service Resumes After Grand Central Fire The new installments in AMD's MI350 chip series are faster than Nvidia counterparts and represent major gains over earlier versions, Su said at a company event Thursday in San Jose, California. The MI355 chips, which started shipping earlier this month, are 35 times faster than predecessors, she said. Though AMD remains a distant second to Nvidia in AI accelerators — the chips that help develop and run artificial intelligence tools — it aims to start catching up with these new products. The stakes are higher than ever: Su previously predicted $500 billion in market revenue by 2028, but she now sees it topping that number. 'People used to think that $500 billion was very large number,' she said in a briefing following her presentation. 'Now it seems well within grasp.' In February, AMD gave a forecast for its data center business that reflected slower growth than some analysts predicted. AMD believes the new update to its MI range will restore momentum and prove it can go toe to toe with a much bigger rival. AMD said that the MI355 outperforms Nvidia's B200 and GB200 products when it comes to running AI software and equals or exceeds them when creating the code. Purchasers will pay significantly less than they would versus Nvidia, AMD said. A representative for Nvidia didn't have an immediate comment. Investors gave a tepid response to AMD's latest presentation, with the shares falling 2.2% to $118.50 at the close Thursday in New York. That wiped out the small gains that the stock made this year. Nvidia and AMD are the leading providers of advanced computer graphics chips, which became the basis of components for developing AI. Demand has consistently outstripped supply as some of the world's largest companies have poured tens of billions of dollars into new infrastructure. That's forced up the price of chips, which can cost multiple tens of thousands of dollars each. For AMD, the accelerator business has helped it escape the shadow of Intel Corp., its longtime rival in personal computer processors. But Nvidia has eclipsed them both. While AMD is getting multiple billions of dollars from its AI accelerators, Nvidia is generating more than $100 billion a year. Su also previewed what's coming next, including the follow-up MI400 series that will hit the market next year. She said the product will achieve clear leadership over the Nvidia chips available at that time. AMD is adding more memory and components that can access information more quickly, an important advantage when running AI software, Su said. OpenAI CEO Sam Altman made an appearance on stage with Su, who explained that the MI400 was designed with input from the AI company's engineers. Altman said that when he'd initially been told about the MI400's proposed specifications, he thought to himself, 'No way.' He said that the demands on computing infrastructure have accelerated this year as the use of AI services has graduated from an amusing curiosity to one with value to businesses. A key question is whether AMD will be able to sell its AI chips more widely. Like Nvidia, the company is restricted from shipping its most powerful components to China under US trade curbs. AMD is lobbying hard to try to get the Trump administration to allow them to freely offer AI components to other countries. A recent deal announced in Saudi Arabia was signed after consulting Washington to make sure that AMD would be allowed to supply the chips, Su said on Thursday. More freedom is needed to make sure that US technology remains central to the development of AI systems worldwide, she said. (Updates with additional CEO commentary starting in fourth paragraph.) American Mid: Hampton Inn's Good-Enough Formula for World Domination New Grads Join Worst Entry-Level Job Market in Years The Spying Scandal Rocking the World of HR Software US Tariffs Threaten to Derail Vietnam's Historic Industrial Boom The SEC Pinned Its Hack on a Few Hapless Day Traders. The Full Story Is Far More Troubling ©2025 Bloomberg L.P.
Forbes
2 days ago
- Business
- Forbes
AMD Announces MI350 GPU And Future Roadmap Details
Dr. Lisa Su, Chairman and CEO of AMD kicked off the event. AMD held their now-annual Advancing AI event today in Silicon Valley, with new GPUs, new networking, new software, and even a rack-scale architecture for 2026/27 to better compete with the Nvidia NVL72 that is taking the AI world by storm. Let's dive in! While AMD g has yet to achieve investor expectations, and its products remain a distant second to Nvidia, AMD continues to keep to its commitment to an annual accelerator roadmap, delivering nearly four times better performance gen-on-gen with the MI350. That pace could help it catch up to Nvidia on GPU performance, and keeps it ahead of Nvidia regarding memory capacity and bandwidth, although Nvidia's lead in networking, system design, AI software, and ecosystem remains intact. However, AMD has stepped up its networking game with support for UltraEthernet this year and UALink next year for scale-out and scale-up, respectively. And, for the first time, AMD showed a 2026/27 roadmap with the 'Helios' rack-scale AI system that helps somewhat versus Nvidia NVL72 and the upcoming Kyber rack-scale system. At least AMD is now on the playing field. Oracle said they are standing up a 27,000 GPU cluster using AMD Instinct GPUs on Oracle Cloud Compute Infrastructure, so AMD is definitely gaining traction. AMD also unveiled ROCm 7.0 and the AMD Developer Cloud Access Program, helping it build a larger and stronger AI ecosystem. While the AMD Instinct GPU portfolio has struggled to catch up with Nvidia, customers value the price/performance and openness of AMD. In fact, AMD claims to offer 40% more tokens per dollar, and that 7 of the 10 largest AI companies have adopted AMD GPUs, among over 60 named customers. The biggest claim to fame AMD touts is the larger memory footprint it supports, now at 288 GB of HBM3 memory with the MI350. Thats enough memory to hold today's larger models, up to 520B parameters, on a single node, and 60% more than the competition. That translates to lower TCO for many models. The MI350 also has twice the 64-bit floating point performance versus Nvidia, important for HPC workloads. The MI350 and 355X GPUs represent a step up in memory and performance over their predecessors. The MI355 is the same silicon as the MI300 but is selected to run faster and hotter, and is AMD's flagship data center GPU. Both GPUs are available on the UBB8 industry standard boards in both air- and liquid cooled versions. AMD MI350 supports 288GB of HBM3 mempory and UBB8 baseboards. AMD claims, and has finally demonstrated through MLPerf benchmarks, that the MI355 is roughly three times faster than the MI300, and even on par with the Nvidia B200 GPU from Nvidia. But keep in mind that Nvidia NVLink, InfiniBand, system design, ecosystem, and software keep it in a leadership position for AI, while the B300 will begin shipment soon. AMD claims that the MI355X with FP4 support is a bit faster than the B200 and GB200 using ... More TensorRT-LLM. AMD added some detail on next year's MI400 series as well. Sam Altman himself appeared on stage and gave the MI450 some serious love. His company has been instrumental in laying out the market requirements to the AMD engineering teams. Sam Altman, CEO Of OpenAI, gave AMD some serious love. The MI400 will use HBM4 at 423GB per GPU, as well as supporting 300GB/s UltraEthernet through Pensando NICs. AMD announced details about next year's MI400 GPU. Looks good! To put the MI400 performance into perspective, check out the hockey stick performance they are expecting in the graph below. This reminds us of a similar slide Jensen Huang used at GTC. Clearly, AMD is on the right path. The MI400 is a huge step forward for AMD. While a lot of attention in the AMD Advancing AI event surrounded the MI350/355 GPUs and the roadmap, the networking section was more exciting and important. The Pensando Pollara 400 AI NIC will support UltraEthernet for massive cluster scaling. More important to large-scale AI, AMD is an original member of the UALink consortium, and will support UALink with the MI400 series. While the slide below makes it look amazing, keep in mind that Nvidia will likely be shipping NVLink 6.0 in the same timeframe, or earlier. AMD will support UALink for Scale-up and UltraEthernet for Scale-out. Finally, let's give ROCm some credit. The development team has been hard at work since the Silicon Analysis crushed the AI software stack late last year, and they have some good performance results to show for it as well as ecosystem adoption. AMD ROCm has improved significantly over the last 2 years and has seen broad ecosystem collaboration To demonstrate the performance point, AMD showed over three times the performance for inference processing using ROCm 7. This is in part due to the ever-improving state of the open AI stack such as Triton from OpenAI, and is a developing trend that will keep Nvidia on its toes. AMD has improved ROCm performance by over 3-fold,
Yahoo
13-05-2025
- Business
- Yahoo
Investment Bank Raises Price Target on Advanced Micro Devices, Inc. (AMD) Stock
Investment bank TD Cowen increased its price target on Advanced Micro Devices, Inc. (AMD) to $115 from $110 and kept a Buy rating on the shares. Advanced Micro Devices, Inc. (AMD) gained significant market share in the PC and CPU server markets, the investment bank reported. The Positive Aspects of AMD In addition to gaining market share in the PC and CPU server markets, the revenue generated by the firm's MI355 AI chips is likely to climb significantly in the second half of the year, according to TD Cowen. Moreover, the company's growth outlook as a whole remains strong, the analyst stated. The Negative Aspects of AMD The company's data center unit did not perform well in the first half of the year, and it had to take write downs, TD Cowen noted. TD Cowen cut its 2025 and 2026 estimates for the firm slightly and warned that its earnings and margins would be negatively affected by higher costs going forward. The Recent Price Action of Advanced Micro Devices, Inc. (AMD) Stock In the last month, the stock has gained 17%, while it has dropped 6% in the last three months. While we acknowledge the potential of AMD, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than AMD but that trades at less than 5 times its earnings, check out our report about this . READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio
Yahoo
13-05-2025
- Business
- Yahoo
Investment Bank Raises Price Target on Advanced Micro Devices, Inc. (AMD) Stock
Investment bank TD Cowen increased its price target on Advanced Micro Devices, Inc. (AMD) to $115 from $110 and kept a Buy rating on the shares. Advanced Micro Devices, Inc. (AMD) gained significant market share in the PC and CPU server markets, the investment bank reported. The Positive Aspects of AMD In addition to gaining market share in the PC and CPU server markets, the revenue generated by the firm's MI355 AI chips is likely to climb significantly in the second half of the year, according to TD Cowen. Moreover, the company's growth outlook as a whole remains strong, the analyst stated. The Negative Aspects of AMD The company's data center unit did not perform well in the first half of the year, and it had to take write downs, TD Cowen noted. TD Cowen cut its 2025 and 2026 estimates for the firm slightly and warned that its earnings and margins would be negatively affected by higher costs going forward. The Recent Price Action of Advanced Micro Devices, Inc. (AMD) Stock In the last month, the stock has gained 17%, while it has dropped 6% in the last three months. While we acknowledge the potential of AMD, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns, and doing so within a shorter timeframe. There is an AI stock that went up since the beginning of 2025, while popular AI stocks lost around 25%. If you are looking for an AI stock that is more promising than AMD but that trades at less than 5 times its earnings, check out our report about this . READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
