The growing adoption of artificial intelligence (AI) poses challenges for data center design, as high-density racks of GPUs require low-latency access to massive datasets, including some in the cloud.
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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NVIDIA’s $40 billion acquisition of Arm comes at a dynamic moment for data center hardware. Here’s how analysts see the deal’s implications for servers, AI, the Arm ecosystem and the data center industry.
Intel and NVIDIA rolled out new offerings around SC19 in Denver, the annual conference for the high performance computing (HPC) community, which provides a showcase for cutting-edge hardware.
In a deal underscoring the growing importance of data center networking, technical computing heavyweight NVIDIA has agreed to pay $6.9 billion to acquire networking specialist Mellanox.
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.
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.