
Brad McCredie Is The Pedal To AMD’s Datacenter GPU Metal
Brad McCredie like engines, and more importantly, he likes to make them go fast. …
Brad McCredie like engines, and more importantly, he likes to make them go fast. …
If you want to be at the top of the food chain on Earth, as human beings have ascended to after millions of years of evolution, there are a bunch of things that you need to be able to do. …
If you want to sell a lot of hardware to support AI workloads, then the best way to do that is to convince every country on Earth that AI is so important that they must have a lot of it within their borders. …
It was only a few months ago when waferscale compute pioneer Cerebras Systems was bragging that a handful of its WSE-3 engines lashed together could run circles around Nvidia GPU instances based on Nvidia’s “Hopper” H100 GPUs when running the open source Llama 3.1 foundation model created by Meta Platforms. …
With the bottlenecks between compute engines, their memories, and their networking adapters growing larger with each passing generation of AI machinery, there has never been a more pressing need to shift away from copper and towards optics in datacenter systems. …
As the last several years have shown, scaling up AI systems to train larger models with more parameters across more data is a very expensive proposition, and one that has made Nvidia fabulously rich. …
According to rumors, Nvidia is not expected to deliver optical interconnects for its GPU memory-lashing NVLink protocol until the “Rubin Ultra” GPU compute engine in 2027. …
If there is any market on Earth that is sorely in need of intense some competition, it is the datacenter GPU market that is driving the AI revolution. …
The concrete has been poured and the first containers that will house the exascale-class “Jupiter” system at Forschungszentrum Jülich in Germany are being lifted into place for the modular datacenter that will be the home of the massive machine. …
It has become a well known fact these days that the switches that are used to interconnect distributed systems are not the most expensive part of that network, but rather it is the optical transceivers and fiber optic cables that comprise the bulk of the cost. …
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