Dear Santa Claus,
I want one of Nvidia's latest desktop workstation for Christmas. Please. I promise I have been good. I'll leave out some chocolate chip cookies for you and a carrot for Rudolph.
Denny
This is totally outside of my world. What OS would you run on this and what applications take advantage of this system? Or, is this for in house custom application development?
It's "just" 4 GPUs and 64 CPU cores. Nvidia has a flavor of Linux for it, but it's basically just Ubuntu with Nvidia drivers and tools. You can rent a machine pretty similar to this on AWS (P3 instances) for about $12/hour, but it has the last-gen V100 GPUs.
You'd usually run CUDA applications that can take advantage of the GPUs. Deep learning is all the rage these days, and the new A100 GPUs are particularly well-suited. Many HPC applications like computational fluid dynamics simulation take advantage of GPUs nowadays. There are also a number of visualization applications that GPUs excel at.
"NVIDIA hasn’t disclosed any pricing for its new enterprise-grade hardware, but for context, the original DGX A100 launched with a starting sticker price of $199,000 back in May."
> It leverages an architecture called Ampere, however, which is now being used in consumer cards such as the GeForce RTX 3080. So while you can’t have an 80GB GPU in your gaming PC, it is possible to leverage some of the same technologies.
When there is no real differenced between gaming and ML GPU's enterprise customers just use gaming GPU's.
> Nvidia has banned the use of its consumer-grade GPUs in data centers, the Register reported. This decision forces organizations to pay for the more expensive chips such as the Tesla V100. The GPU company updated the license agreements of its Titan and GeForce software to reflect this change.
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[ 3.4 ms ] story [ 19.2 ms ] threadYou'd usually run CUDA applications that can take advantage of the GPUs. Deep learning is all the rage these days, and the new A100 GPUs are particularly well-suited. Many HPC applications like computational fluid dynamics simulation take advantage of GPUs nowadays. There are also a number of visualization applications that GPUs excel at.
When there is no real differenced between gaming and ML GPU's enterprise customers just use gaming GPU's.
> Nvidia has banned the use of its consumer-grade GPUs in data centers, the Register reported. This decision forces organizations to pay for the more expensive chips such as the Tesla V100. The GPU company updated the license agreements of its Titan and GeForce software to reflect this change.
https://www.digitaltrends.com/computing/nvidia-bans-consumer...