At well over $150,000 per appliance, the Volta GPU based DGX appliances from Nvidia, which take aim at deep learning with framework integration and 8 Volta-accelerated nodes linked with NVlink, is set to appeal to the most bleeding edge of machine learning shops. …
One of the reasons why Nvidia has been able to quadruple revenues for its Tesla accelerators in recent quarters is that it doesn’t just sell raw accelerators as well as PCI-Express cards, but has become a system vendor in its own right through its DGX-1 server line. …
If you can’t beat the largest cloud players at economies of scale, the only option is to try to outrun them in performance, capabilities, or price. …
Not all of the new and interesting high performance computing systems are always in the upper echelons of the Top 500 supercomputing list, which was announced at the opening of the SC16 supercomputing conference in Salt Lake City this week. …
Whenever companies that sell compute components for a living get into the systems business, they usually have a good reason for doing so. …
Updated With More MGX Specs: Whenever a compute engine maker also does motherboards as well as system designs, those companies that make motherboards (there are dozens who do) and create system designs (the original design manufacturers and the original – get a little bit nervous as well as a bit relieved. …
Nvidia is not rich enough – or dumb enough – to build a cloud to rival the likes of Amazon Web Services, Microsoft Azure, or Google Cloud. …
If you thought it took a lot of compute and storage to build Facebook’s social network, you ain’t seen nothing yet. …
There has been talk and cajoling and rumor for years that GPU juggernaut Nvidia would jump into the Arm server CPU chip arena once again and actually deliver a product that has unique differentiation and a compelling value proposition, particularly for hybrid CPU-GPU compute complexes. …
The term “general purpose” in regards to compute is an evolving one. …
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