
Nvidia Takes More Control Of Its GPU Compute Platform
Nvidia got a little taste of hardware, and the company’s top brass have decided that they like having a lot of iron in their financial diet. …
Nvidia got a little taste of hardware, and the company’s top brass have decided that they like having a lot of iron in their financial diet. …
Even if Nvidia had not pursued a GPU compute strategy in the datacenter a decade and a half ago, the company would have turned in one of the best periods in its history as the first quarter of fiscal 2019 came to a close on April 29. …
At the World Medical Innovation Forum this week, participants were polled with a loaded question: “Do you think healthcare will become better or worse from the use of AI?” …
Supercomputers keep getting faster, but they keep getting more expensive. This is a problem, and it is one that is going to eventually affect every kind of computer until we get a new technology that is not based on CMOS chips. …
There is a direct correlation between the length of time that Nvidia co-founder and chief executive officer Jensen Huang speaks during the opening keynote of each GPU Technology Conference and the total addressable market of accelerated computing based on GPUs. …
At the GPU Technology Conference last week, we told you all about the new NVSwitch memory fabric interconnect that Nvidia has created to link multiple “Volta” GPUs together and that is at the heart of the DGX-2 system that the company has created to demonstrate its capabilities and to use on its internal Saturn V supercomputer at some point in the future. …
Ian Buck doesn’t just run the Tesla accelerated computing business at Nvidia, which is one of the company’s fastest-growing and most profitable products in its twenty five year history. …
A major transformation is happening now as technological advancements and escalating volumes of diverse data drive change across all industries. …
When Nvidia co-founder and chief executive officer Jensen Huang told the assembled multitudes at the keynote opening to the GPU Technology Conference that the new DGX-2 system, weighing in at 2 petaflops at half precision using the latest Tesla GPU accelerators, would cost $1.5 million when it became available in the third quarter, the audience paused for a few seconds, doing the human-speed math to try to reckon how that stacked up to the DGX-1 servers sporting eight Teslas. …
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