TSMC Seeks To Make Itself More Indispensable Than It Already Is
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. …
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. …
It has been two and a half decades since we have seen a rapidly expanding universe of a new kind of compute that rivals the current generative AI boom. …
It would be hard to find something that is growing faster than the Nvidia datacenter business, but there is one contender: OpenAI. …
Maybe Intel chief executive officer Pat Gelsinger has spent too much time at EMC and VMware. …
If you have the entire corpus of the Internet scrubbed of nonsense plus whatever else you can scrounge up in whatever language all put into the right format so you can chew on that data one token at a time with trillions of parameters of interconnections between those tokens to build a large language model for generative AI applications, you have an enormous problem. …
When you combine the forces of open source and the wide and deep semiconductor experience of legendary chip architect Jim Keller, something interesting is bound to happen. …
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