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. …
It is not inconceivable, but probably also not very likely, that the datacenter business at GPU juggernaut Nvidia could at some point in the next one, two, or three years equal that of the core and foundational gaming sector. …
For any given compute engine, there is the vendor who makes the chip and therefore a lot of the money and then there are the downstream system architects, system integrators, original design manufacturers, and original equipment manufacturers who add further value to that compute engine in one form or another and make their own revenue stream from that innovation. …
When you are always looking for what platform architecture will be mainstream, you have to look at what those on the bleeding edge are doing to see what the leading edge might do, which in turn tells you what everyone else might eventually do. …
It’s par for the course for AI chip startups to focus on peak performance on outdated benchmarks to appeal to the hardware folks who might give their gear a go for deep learning training or inference. …
In July, VMware acquired Bitfusion, a company whose technology virtualizes compute accelerators with the goal of enabling modern workloads like artificial intelligence and data analytics to take full advantage of systems with GPUs or with FPGAs. …
Nvidia has unveiled GPUDirect Storage, a new capability that enables its GPUs to talk directly with NVM-Express storage. …
While accelerators have been around for some time to boost the performance of simulation and modeling applications, accelerated computing didn’t gain traction for most people until the commercialization of the Tesla line of GPUs for general computing by Nvidia. …
Habana Labs has unveiled the Gaudi HL-2000, a custom-built AI processor that the company claims can outrun Nvidia’s best and brightest GPUs at training neural networks. …
Field Programmable Gate Arrays (FPGAs) have notched some noticeable wins as a platform for machine learning, Microsoft’s embrace of the technology in Azure being the most notable example. …
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