The hardware that has enabled and driven the recent explosion of generative AI products has primarily been manufactured by Nvidia. That's thanks in part to its dominant position in the consumer and workstation graphics markets, plus the well-established CUDA libraries and its AI-accelerating Tensor cores.
Though Microsoft uses "tens of thousands" of Nvidia GPUs in its Azure datacenters, Bloomberg reports that the company is also working with AMD to improve the AI capabilities of its GPUs. Though extremely light on details, the report claims Microsoft is contributing "support" and "engineering resources" to AMD to improve its products' performance in AI workloads.
Bloomberg also says that AMD is working on a Microsoft-developed AI accelerator named "Athena," which The Information reported details on last month. A Microsoft spokesperson, however, flatly denied that AMD was involved in Athena's development.
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The hardware that has enabled and driven the recent explosion of generative AI products has primarily been manufactured by Nvidia. That's thanks in part to its dominant position in the consumer and workstation graphics markets, plus the well-established CUDA libraries and its AI-accelerating Tensor cores.
Though Microsoft uses "tens of thousands" of Nvidia GPUs in its Azure datacenters, Bloomberg reports that the company is also working with AMD to improve the AI capabilities of its GPUs. Though extremely light on details, the report claims Microsoft is contributing "support" and "engineering resources" to AMD to improve its products' performance in AI workloads.
Bloomberg also says that AMD is working on a Microsoft-developed AI accelerator named "Athena," which The Information reported details on last month. A Microsoft spokesperson, however, flatly denied that AMD was involved in Athena's development.
Read 3 remaining paragraphs | Comments
May 05, 2023 at 11:46PM
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