Compute
It’s Called Distributed Computing, Even When It Shouldn’t Be
Success can be its own kind of punishment in this world. …
Search Results for nvswitch
AI
Talking Up the Expanding Markets for GPU Compute
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. …
AI
Riding the AI Cycle Instead of Building It
We all remember learning to ride a bike. Those early wobbly moments with “experts” holding on to your seat while you furiously peddled and tugged away at the handlebars trying to find your own balance. …
AI
The Buck Stops – And Starts – Here For GPU Compute
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. …
AI
Removing The Storage Bottleneck For AI
If the history of high performance computing has taught us anything, it is that we cannot focus too much on compute at the expense of storage and networking. …
AI
Nvidia’s DGX-2 System Packs An AI Performance Punch
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. …
Uncategorized
Nvidia Memory Switch Welds Together Massive Virtual GPU
It has happened time and time again in computing in the past three decades in the datacenter: A device scales up its capacity – be it compute, storage, or networking – as high as it can go, and then it has to go parallel and scale out. …
Code
Virtualization Giant VMware Takes On Cloud-Native Microservices
Everywhere we turn in the datacenter, monolithic software is being smashed into smaller chunks that can be isolated from each other and tweaked as needed without having to recompile and test a giant pile of code. …