…Unlike AI, where a rounding error might generate an out-of-context sentence, imprecise weather calculations can miss critical patterns that impact emergency response and cost lives. In pharmaceutical research, precision dictates…
…and costs, is inevitable. The typical 3.5D XPU that Broadcom is working on with customers has multiple stacked compute chiplets – not just one – and also has multiple stacks of HBM memory…
…And that means that Nvidia could, in theory and with some changes in the topology of its AI clusters, build a much larger NVSwitch memory domain – and one that was much more…
…year ago in He Who Can Pay Top Dollar For HBM Memory Controls AI Training . But Nvidia co-founder and chief executive officer Jensen Huang also has to be careful to leave…
…unpins AI. It becomes the model that runs on top of it, and Nvidia is pressing that advantage with the open models, which cost significantly less than those developed and owned by…
…and AI offers an antidote to what Pinella said has been a disjointed collecting of various management tools across those environments that has led to unneeded complexity and costs. VMs, containers, and…
…We wonder how much of this is about switching components away from enterprises and towards the AI systems, with memory and flash getting harder and harder to come by. Arista has to…
…Google invented to cluster together its TPU AI compute engines with a certain amount – and we are not sure to what level – of memory coherency across those compute engines. I also wanted…
…GenAI model makers – OpenAI, Anthropic, and Meta Platforms – are all trying very hard to create their own custom AI XPUs so they can lower the cost per token for GenAI workloads running…
…Our best guess was that the Nvidia deal was for 2 million to 3 million GPUs, and lots of “Vera” Arm server CPUs both inside the AI systems and outside of them…