Last Tuesday, Advanced Micro Devices Inc
The MI300X
Targeted as a competitor to H100 GPU from Nvidia, AMD's forthcoming most-advanced GPU for artificial intelligence applications is expected to arrive to customers later this year. Its CDNA architecture is designed for large language models that use lots of memory as well as other cutting-edge AI models. AMD did not disclose any pricing details but lower pricing will not only put a price pressure on Nvidia whose H100 comes at $30,000 or more, but also have a deep impact on the development of generative AI applications that are high in cost.
The AI Opportunity And Untapped Market
While the PC market struggles to get out of its post-pandemic slump, CEO Lisa Su finds AI to be AMD's largest and by far the biggest strategic long-term growth opportunity.
According to Analysts, AMD is certainly one of the greatest challenges to Nvidia especially with this new release that AMD will sell to everybody, but the key of its success remains lies in how many developers will want to use it. For example, AI developers preferred Nvidia chips due to a well-developed software package CUDA that enabled them to access the chip's core hardware features. But AMD revealed on Tuesday it made its own software for its AI chips, ROCm. If developers embrace AMD's chips, named by the company as accelerators, as a substitute for those made by Nvidia, the AI chip market is certainly in for a power shift and AMD is in for a turnaround as its current brand identity is tied to traditional computer processors.
Reuters reported that Amazon.com Inc
Intel Is The Living Proof That Future Is Promised To No One
On Friday, Intel Corporation
AMD's AI Journey Could Be A Game-changing One
AMD president Victor Pen admitted that this is a journey but assured AMD has made great progress in building a powerful product that works with various systems, models, libraries and frameworks. All in all, it seems like AMD's newest chips have the potential to redefine the AI chip landscape.
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