Intel Says AI is Overwhelming CPUs, GPUs, Even Clouds, So All Meteor Lakes Get a VPU
Intel will use the "VPU" tech it acquired along with Movidius in 2016 to all models of its forthcoming Meteor Lake client CPUs. From a report: Chipzilla already offers VPUs in some 13th-gen Core silicon. Ahead of the Computex conference in Taiwan, the company briefed The Register on their inclusion in Meteor Lake. Curiously, Intel didn't elucidate the acronym, but has previously said it stands for Vision Processing Unit. Chipzilla is, however, clear about what it does and why it's needed -- and it's more than vision. Intel Veep and general manager of Client AI John Rayfield said dedicated AI silicon is needed because AI is now present in many PC workloads. Video conferences, he said, feature lots of AI enhancing video and making participants sounds great -- and users now just expect that PCs do brilliantly when Zooming or WebExing or Teamising. Games use lots of AI. And GPT-like models, and tools like Stable Diffusion, are already popular on the PC and available as local executables. CPUs and GPUs do the heavy lifting today, but Rayfield said they'll be overwhelmed by the demands of AI workloads. Shifting that work to the cloud is pricey, and also impractical because buyers want PCs to perform. Meteor Lake therefore gets VPUs and emerges as an SoC that uses Intel's Foveros packaging tech to combine the CPU, GPU, and VPU. The VPU gets to handle "sustained AI and AI offload." CPUs will still be asked to do simple inference jobs with low latency, usually when the cost of doing so is less than the overhead of working with a driver to shunt the workload elsewhere. GPUs will get to do jobs involving performance parallelism and throughput. Other AI-related work will be offloaded to VPUs.
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