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• AMD ( AMD) unveiled several new chips yesterday, including a star-studded new AI chip, the MI300X. • The MI300X represents AMD’s latest efforts to compete with Nvidia’s AI chip dominance. • With higher memory capacities and ample supply, investors seem convinced of AMD’s new attention toward data center-focused AI chips. AMD (NASDAQ: AMD) stock is up 1% today after unveiling the MI300X, a new artificial intelligence ( AI) superchip. AMD’s latest announcement has breathed Nvidia (NASDAQ: NVDA). On Tuesday, AMD showcased a number of new chips set to hit the market later this year. The company showed off a new suite of Ryzen PRO 7040 series mobile processors, the Ryzen PRO 7000 series, a desktop processor, as well as the star of the show, the MI300X, which may represent the most powerful AI “accelerator” to hit the market this year. The MI300X represents a new path for AMD, one earmarked by the quickly growing generative AI industry. The MI300X was designed for large language models, like the kind used by companies like OpenAI to build and train programs like ChatGPT. AMD and AI According to AMD Chief Executive Lisa Su, the company has refocused its attention on AI and its increasing market relevance. “We think about the data center AI accelerator [market] growing from something like $30 billion this year, at over 50% compound annual growth rate, to over $150 billion in 2027,” Su told investors. The MI300X is a clear rival to Nvidia’s data center AI chip, the H100, which ca...

However, the Zen 4 top dog soon ran into a problem: Intel’s Raptor Lake flagship emerged just a month later, proving to have considerably more bite than the 7950X. In actual fact, performance-wise, there wasn’t much between the Core i9-13900K and Ryzen 7950X, except the Intel CPU was somewhat faster at gaming – the real problem for AMD was pricing, with Team Blue’s chip to be had for considerably less (a hundred bucks cheaper, in fact). Compounding that was the situation of AMD’s new AM5 motherboards being more expensive than Intel’s LGA 1700 boards, plus buyers on the AMD side had to purchase DDR5 RAM, as DDR4 wasn’t compatible – but with Raptor Lake, DDR4 was an option. And the latter memory is a fair bit cheaper, for really not all that much difference in performance (at least not in these early days for DDR5 – that will change in the future, of course). All of this added up to a problem in terms of value proposition for Ryzen 7000 compared to Raptor Lake, not just at the flagship level, but with the mid-range Zen 4 chips, too. Indeed, the added motherboard and RAM costs made themselves even more keenly felt with a more modestly-targeted PC build, so while the Ryzen 7600X and Intel’s 13600K were well-matched in performance terms (with a little give and take), the latter was a less expensive upgrade. It soon became clear enough that when buyers were looking at Zen 4 versus Raptor Lake late in 2022, AMD’s product was falling behind in sales due to the aforementioned cost ...

Our Company AMD is the high performance and adaptive computing leader, powering the products and services that help solve the world’s most important challenges. Our technologies advance the future of the data center, embedded, gaming and PC markets. Founded in 1969 as a Silicon Valley start-up, the AMD journey began with dozens of employees who were passionate about creating leading-edge semiconductor products. AMD has grown into a global company setting the standard for modern computing, with many important industry firsts and major technological achievements along the way.

The generative A.I. boom is fueling an arms race among semiconductor manufacturers, who produce the engines that power large language model applications like ChatGPT. Specifically, the race right now is between two of the industry leaders: Nvidia and AMD (Advanced Micro Devices Inc.). Nvidia CEO Jensen Huang and AMD CEO Lisa Su. Getty Images At a product event yesterday (June 13) AMD announced it will begin shipping the MI300X, its most-advanced graphics processing units (GPUs) designed for artificial intelligence, later this year. The MI300X was first announced in June 2022 and was previously expected to ship next year. At the event, AMD CEO Lisa Su emphasized that A.I. is the company’s “largest and most strategic long-term growth opportunity.” “At the center of this are GPUs. GPUs are enabling generative AI,” she said. A.I. chips, also known as A.I. accelerators, are one of the few bright spots in the semiconductor industry, which is facing slumping demand for personal computers. Su estimates today’s A.I. accelerator market is worth somewhere around $30 billion and set to grow 50 percent every year to reach $150 billion by 2027. Currently, the market How AMD’s A.I. chip compares with Nvidia’s AMD’s MI300X is a direct competitor of Nvidia’s H100. The MI300X can support 192GB of memory compared to H100’s 120GB. AMD will also offer a package called Infinity Architecture that combines eight M1300X accelerators into one system. Nvidia has developed a similar system called NVL...

• Share to Facebook • Share to Twitter • Share to Linkedin The upcoming MI300, which will ship Latter this year after NVIDIA’s Grace/Hopper Superchip, certainly has a shot at it. But there remain a lot of unknowns that will determine how well it performs for AI applications. And then there is Software. Yeah, Software. Lots of Software. At the 2023 CES Keynote address, AMD’s CEO Dr. Lisa Su reiterated the company’s plan to bring the Instinct MI300 to market by the end of this year, and showed the monster silicon in hand. The chip is certainly a major milestone for the company, and the industry in general, being to most aggressive chiplet implementation seen so far. Combining the industry’s fastest CPU with a new GPU and HBM can bring many advantages, especially since it supports sharing that HBM memory across the compute complex. The idea of a big APU isn’t new; I worked on the cancelled Big APU at AMD in 2014, and am a true believer. But combining the CPU and GPU onto a single package is just the start. What we know The MI300 is a monster device, with nine TSMC’s 5nm chiplets stacked over four 6-nm chiplets using 3D die stacking, all of which in turn will be paired with 128GB of on-package shared HBM memory to maximize bandwidth and minimize data movement. We note that NVIDIA’s Grace/Hopper, which we expect will ship before the MI300, will still share 2 separate memory pools, using HBM for the GPU and much more DRAM for the CPU. AMD says they can run the MI300 without DRAM...

The unveiling of Advanced Micro Devices ' ( -3.35%) MI300 AI chip could potentially uplift AMD's data center strategy. Check out the short video to learn what semiconductor investors Jose Najarro and Billy Duberstein had to say. Also, consider subscribing, and click the special offer link below. *Stock prices used were the market prices of June 12, 2023. The video was published on June 12, 2023.

The unveiling of Advanced Micro Devices ' ( -3.35%) MI300 AI chip could potentially uplift AMD's data center strategy. Check out the short video to learn what semiconductor investors Jose Najarro and Billy Duberstein had to say. Also, consider subscribing, and click the special offer link below. *Stock prices used were the market prices of June 12, 2023. The video was published on June 12, 2023.

However, the Zen 4 top dog soon ran into a problem: Intel’s Raptor Lake flagship emerged just a month later, proving to have considerably more bite than the 7950X. In actual fact, performance-wise, there wasn’t much between the Core i9-13900K and Ryzen 7950X, except the Intel CPU was somewhat faster at gaming – the real problem for AMD was pricing, with Team Blue’s chip to be had for considerably less (a hundred bucks cheaper, in fact). Compounding that was the situation of AMD’s new AM5 motherboards being more expensive than Intel’s LGA 1700 boards, plus buyers on the AMD side had to purchase DDR5 RAM, as DDR4 wasn’t compatible – but with Raptor Lake, DDR4 was an option. And the latter memory is a fair bit cheaper, for really not all that much difference in performance (at least not in these early days for DDR5 – that will change in the future, of course). All of this added up to a problem in terms of value proposition for Ryzen 7000 compared to Raptor Lake, not just at the flagship level, but with the mid-range Zen 4 chips, too. Indeed, the added motherboard and RAM costs made themselves even more keenly felt with a more modestly-targeted PC build, so while the Ryzen 7600X and Intel’s 13600K were well-matched in performance terms (with a little give and take), the latter was a less expensive upgrade. It soon became clear enough that when buyers were looking at Zen 4 versus Raptor Lake late in 2022, AMD’s product was falling behind in sales due to the aforementioned cost ...

• AMD ( AMD) unveiled several new chips yesterday, including a star-studded new AI chip, the MI300X. • The MI300X represents AMD’s latest efforts to compete with Nvidia’s AI chip dominance. • With higher memory capacities and ample supply, investors seem convinced of AMD’s new attention toward data center-focused AI chips. AMD (NASDAQ: AMD) stock is up 1% today after unveiling the MI300X, a new artificial intelligence ( AI) superchip. AMD’s latest announcement has breathed Nvidia (NASDAQ: NVDA). On Tuesday, AMD showcased a number of new chips set to hit the market later this year. The company showed off a new suite of Ryzen PRO 7040 series mobile processors, the Ryzen PRO 7000 series, a desktop processor, as well as the star of the show, the MI300X, which may represent the most powerful AI “accelerator” to hit the market this year. The MI300X represents a new path for AMD, one earmarked by the quickly growing generative AI industry. The MI300X was designed for large language models, like the kind used by companies like OpenAI to build and train programs like ChatGPT. AMD and AI According to AMD Chief Executive Lisa Su, the company has refocused its attention on AI and its increasing market relevance. “We think about the data center AI accelerator [market] growing from something like $30 billion this year, at over 50% compound annual growth rate, to over $150 billion in 2027,” Su told investors. The MI300X is a clear rival to Nvidia’s data center AI chip, the H100, which ca...

The generative A.I. boom is fueling an arms race among semiconductor manufacturers, who produce the engines that power large language model applications like ChatGPT. Specifically, the race right now is between two of the industry leaders: Nvidia and AMD (Advanced Micro Devices Inc.). Nvidia CEO Jensen Huang and AMD CEO Lisa Su. Getty Images At a product event yesterday (June 13) AMD announced it will begin shipping the MI300X, its most-advanced graphics processing units (GPUs) designed for artificial intelligence, later this year. The MI300X was first announced in June 2022 and was previously expected to ship next year. At the event, AMD CEO Lisa Su emphasized that A.I. is the company’s “largest and most strategic long-term growth opportunity.” “At the center of this are GPUs. GPUs are enabling generative AI,” she said. A.I. chips, also known as A.I. accelerators, are one of the few bright spots in the semiconductor industry, which is facing slumping demand for personal computers. Su estimates today’s A.I. accelerator market is worth somewhere around $30 billion and set to grow 50 percent every year to reach $150 billion by 2027. Currently, the market How AMD’s A.I. chip compares with Nvidia’s AMD’s MI300X is a direct competitor of Nvidia’s H100. The MI300X can support 192GB of memory compared to H100’s 120GB. AMD will also offer a package called Infinity Architecture that combines eight M1300X accelerators into one system. Nvidia has developed a similar system called NVL...