NVIDIA today introduced beefier new GPUs, along with a new interconnect fabric to accelerate workloads, and an initiative to extend machine learning capabilities to smartphones and Internet of Things (IoT) devices.
NVIDIA became a household name through their graphics cards that gave PCs gamers extra horsepower to make video games run smooth and look gorgeous. Those cards today, with their graphics processing units (GPUs), have become essential components for high performance computing. NVIDIA is a leading manufacturer for GPUs involved in machine learning, cloud computing, and cryptocurrency mining.
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In his SC17 presentation, NVIDIA CEO Jensen Huang said the company’s Volta architecture for GPUs is now available on every major cloud service to deliver AI and HPC.
The rise of specialized computing is bringing powerful new server hardware into the data center, a trend seen in new tech from Google, NVIDIA, AMD, ARM, Intel and Microsoft.
NVIDIA is looking to accelerate sales of its AI hardware to hyperscale computing providers through tighter partnerships with original design manufacturers (ODMs), who have become key players in the cloud hardware ecosystem.
The rise of artificial intelligence, and the GPU computing hardware that often supports it, is reshaping the data center industry’s relationship with power density.
At the Open Compute Summit, Microsoft and NVIDIA unveiled a new hyperscale GPU accelerator for artificial intelligence workloads in the cloud. The HGX-1 harnesses eight NVIDIA Tesla P100 GPUs and high-speed interconnects.
Facebook is beefing up its high performance computing horsepower with Big Basin, an AI server powered by eight NVIDIA GPU accelerators. Big Basin was introduced at today’s Open Compute Summit.
NVIDIA has moved from the desktop to the data center, emerging as a major player in high performance computing – and especially the booming field of artificial intelligence.
Intel’s acquisition of artificial intelligence startup Nervana arms the chipmaker with new software and hardware technologies as it seeks to gain more traction in the machine learning market.
The Big Sur GPU-powered server is the key to Facebook’s bid to create a smarter newsfeed for its 1.6 billion users around the globe. We see it in action at Facebook’s Oregon data center.