When the hyperscalers and cloud builders were smaller and the Arm collective had failed to storm the datacenter and AMD was not yet on its path to resurgence, it was Intel that controlled the cadence of new compute engine introductions into the datacenter. …
No matter how elegant and clever the design is for a compute engine, the difficulty and cost of moving existing – and sometimes very old – code from the device it currently runs on to that new compute engine is a very big barrier to adoption. …
Brijesh Tripathi’s early career took him on a path that wound through Nvidia to Apple to Tesla to Zoox – an autonomous driving company now a subsidiary of Amazon. …
Waferscale compute engine and AI system maker Cerebras Systems has filed with the US Securities and Exchange Commission to sell a chunk of itself to the public, giving we outsiders a view of the past two and a half years of its internal financials. …
We were away on vacation at a lakeside beach in northern Michigan when we caught the news that the UK government was pulling the plug on a plan for an exascale supercomputer to be installed at the EPCC at the University of Edinburgh. …
Taiwan Semiconductor Manufacturing Co already has a de facto monopoly – one that it has earned – when it comes to the manufacturing of datacenter compute engines. …
There have been rumors that either Arm Ltd or parent company and Japanese conglomerate SoftBank would buy British AI chip and system upstart – it is no longer a startup if it is eight years old – Graphcore for quite some time. …
UPDATED: Nvidia is a member of the Ultra Ethernet Consortium.
The jury is still out on a lot of things about this exploding AI market and the re-convergence that it will have with traditional HPC systems for running simulations and models. …
In a world where allocations of “Hopper” H100 GPUs coming out of Nvidia’s factories are going out well into 2024, and the allocations for the impending “Antares” MI300X and MI300A GPUs are probably long since spoken for, anyone trying to build a GPU cluster to power a large language model for training or inference has to think outside of the box. …
UPDATED Here is a story you don’t hear very often: A supercomputing center was just given a blank check up to the peak power consumption of its facility to build a world-class AI/HPC supercomputer instead of a sidecar partition with some GPUs to play around with and wish its researchers had a lot more capacity. …
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