The in-person GPU Technical Conference held annually in San Jose may have been canceled in March thanks to the coronavirus pandemic, but behind the scenes Nvidia kept on pace with the rollout of its much-awaited “Ampere” GA100 GPU, which is finally being unveiled today. …
The deal for Nvidia to acquire Mellanox, which was announced last March for $6.9 billion, has finally passed muster with all of the regulatory bodies of the world and closed today. …
Microsoft Azure has been able to put actual Cray XC series supercomputers and CS Storm clusters in the public cloud for more than two years now, and it is unclear how many companies have commissioned Cray, now part of Hewlett Packard Enterprise, to do so. …
It would be convenient for everyone – chip makers and those who are running machine learning workloads – if training and inference could be done on the same device. …
If you were expecting Nvidia to start talking about its future “Ampere” or “Einstein” GPUs for Tesla accelerated computing soon just because AMD is getting ready to roll out “Navi” GPUs next year and Intel is working on its Xe GPU cards for delivery next year, too, you are going to have to wait a bit longer. …
Nvidia has unveiled GPUDirect Storage, a new capability that enables its GPUs to talk directly with NVM-Express storage. …
GPU chip maker Nvidia doesn’t just make the devices that end up in some of the largest supercomputers in the world. …
Imagine for a second that you are Intel.
The few server CPU makers that remain in the market – AMD, IBM, Marvell, and Ampere – have more memory controllers on their sockets than you do. …
There is a rumor going around that a certain hyperscaler is going to be augmenting its GPU-based machine learning training and will be adopting Intel’s Nervana Neural Network Processor (NNP) for at least some of its workloads. …
As one of the dominant hyperscalers in the world, Microsoft is out there on the cutting edge, driving efficiencies on every front it can in server, storage, switching, software, and datacenter design. …
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