…making Marvell a datacenter player that can compete against rival Broadcom in bringing custom compute engines and networking to AI workloads run by hyperscalers, cloud builders, and model builders. The first is…
…What gives? “The key innovation in our dataflow architecture is that we can overlap computation and communication, meaning that the increase in compute and network bandwidth means that we don't need…
…The issue is that designing AI hardware from top to bottom is an expensive proposition, and there is really only one foundry that can make and package the compute engine and networking…
…build larger compute domains within a datacenter, in some cases we need modular switches today for the same reason that Bechtolsheim, co-founder and chief architect at Arista Networks, knew we needed…
…But with the current costs of a rack of Grace-Blackwell compute and the expected – and much higher – cost of a rack of future Vera-Rubin compute, the cash coming in is…
COMPUTE Classiq Says Quantum Is On Its Way, But Patience Is Needed Erik Garcell is all in on quantum computing. He applauds the strides in hardware innovation in recent years that has…
…Wall Street analysts thus: “The advent of ESUN, Ethernet for Scale-Up Networking, specifications allows for increasing or decreasing computing power in a flexible manner with Ethernet to automatically adapt to workload…
…There’s also Compressed State Transfer Protocols (CSTPs) to reduce file sizes before transmission for efficient bandwidth, faster data transfers, and minimal network latency. These are good for low-bandwidth edge or…
With TPU 8, Google Makes GenAI Systems Much Better, Not Just Bigger Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and diverging…
…Last month it rolled out several new Intel-powered PowerEdge servers and ObjectScale and PowerScale storage enhancements to further its disaggregated architecture – with compute, storage, and network managed separate – aimed at enterprises…