"Microsoft buys a lot of GPUs from both Nvidia and AMD," writes the Register. "But moving forward, Redmond's leaders want to shift the majority of its AI workloads from GPUs to its own homegrown accelerators..."Driving the transition is a focus on performance per dollar, which for a hyperscale cloud provider is arguably the only metric that really matters. Speaking during a fireside chat moderated by CNBC on Wednesday, Microsoft CTO Kevin Scott said that up to this point, Nvidia has offered the best price-performance, but he's willing to entertain anything in order to meet demand. Going forward, Scott suggested Microsoft hopes to use its homegrown chips for the majority of its datacenter workloads. When asked, "Is the longer term idea to have mainly Microsoft silicon in the data center?" Scott responded, "Yeah, absolutely... Microsoft is reportedly in the process of bringing a second-generation Maia accelerator to market next year that will no doubt offer more competitive compute, memory, and interconnect performance... It should be noted that AI accelerators aren't the only custom chips Microsoft has been working on. Redmond also has its own CPU called Cobalt and a whole host of platform security silicon designed to accelerate cryptography and safeguard key exchanges across its vast datacenter domains.Read more of this story at Slashdot.