- AMD has revealed its highly-anticipated M1300X AI chip, boasting 192 GB memory capacity and expected to hit the market by late 2023.
- This new AI chip serves as AMD’s major challenge to Nvidia’s supremacy, which currently holds over 80% of the AI chip market share.
On June 13, Advanced Micro Devices (AMD) stirred the tech world by unveiling details about its cutting-edge artificial intelligence (AI) chip, the M1300X, set to go head-to-head with Nvidia, the current industry leader.
AMD, headquartered in California, has revealed that its most sophisticated graphics processing unit (GPU) for AI applications is set to be released in a phased manner beginning the third quarter of 2023, with mass production starting by the fourth quarter.
This announcement represents a substantial challenge to Nvidia’s reigning authority, with an overwhelming 80% market share in AI chips. Such GPUs are integral to leading-edge AI projects from firms like OpenAI, which created ChatGPT. These chips offer parallel processing, ideally suited for handling vast data volumes simultaneously, rendering them ideal for high-speed, efficient graphical processing tasks.
Designed to cater specifically to large language and advanced AI models, AMD’s latest MI300X chip with CDNA architecture showcases an impressive memory capacity of 192 gigabytes. This outstrips competing chips like Nvidia’s H100, which maxes out at 120 GB, allowing the M1300X to accommodate even larger AI models.
AMD’s Infinity Architecture technology is another highlight, enabling the combination of eight M1300X accelerators into a single system. This echoes similar systems by Nvidia and Google that integrate eight or more GPUs for AI applications.
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During an investor and analyst presentation in San Francisco, AMD CEO Lisa Su emphasized AI as AMD’s “most significant and strategically important long-term growth opportunity.” Anticipating the data center AI accelerator market to skyrocket from approximately $30 billion this year to over $150 billion by 2027, she projected an impressive compound annual growth rate of over 50%.
If developers and server manufacturers embrace AMD’s AI chips as alternatives to Nvidia’s products, it could unlock a sizeable latent market for AMD. Known for its standard computer processors, AMD could experience a boon from this potential demand shift.
Although pricing details remain undisclosed, this move by AMD could exert downward pressure on the pricing of Nvidia’s GPUs, potentially reducing the costs associated with running resource-intensive generative AI applications.
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