Intel’s Ex-Executive Raja Koduri Believes That PC GPUs From NVIDIA, AMD & Intel Play A Key-role In AI & Data Center Success
Intel's ex-executive VP and founder of Mahira AI, Raja Koduri, has an interesting insight on the world of AI & Data Center stating that the current success of the ecosystem depends on GPUs designed for the PC segment.
Accessibility To PC Gaming GPUs Has Driven AI & Data Center Business Success, According To Raja Koduri
The adoption of consumer-centric GPUs, or so-called gaming GPUs, is pretty high on a global level since not only are they easily accessible, but they are much cheaper in pricing compared to counterparts such as workstation ones.
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They are more suitable for individuals to work on. Another neglected aspect of such GPUs is their contribution to the developer community, as the easy accessibility means that every other person, whether he is from any corner of the world, could visit his nearest retailer to get an AMD Radeon or NVIDIA GeForce GPU for work, but current-generation stacks are being framed in a way actually to hinder this aspect.
The same idea is reiterated by Raja Koduri, who, in a post on X, believes that tech giants such as AMD and Intel might need to rethink their approach to consumer GPUs moving ahead. He says that PC developers see this type of tech as essential for their work, and based on how stacks such as AMD's ROCm and Intel's SYCL are being developed to put PC GPUs on the sidelines, which means that such developers are missing out a lot. He believes that NVIDIA and AMD are in a much better state than Intel, and ironically, this has hindered the developer community's adoption of Intel's consumer GPUs since the same developers would love to have the best of both worlds (strong gaming & AI capabilities).
Raja Koduri says that the AI ecosystem has been the sole cause of this since it is evident that GPU manufacturers are focusing on AI accelerators in every way, which means that existing and upcoming resources are more inclined
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