NVIDIA Beefs Up Data Center GPUs, Teams with ARM on IoT Devices

Originally posted to Data Center Frontier by Rich Miller.

As artificial intelligence workloads grow, NVIDIA continues to bring more computing horsepower to crunch it. NVIDIA today introduced beefier 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.

At a keynote speech at NVIDIA”s GPU Technology Conference in Santa Clara, CEO Jensen Huang unveiled a series of enhancements to the company’s GPU platform for the data center, including a memory boost for its flagship Tesla V100 datacenter GPU, the NVIDIA NVSwitch interconnect fabric, and updates to the company’s software stack.

Huang also showcased what he called “the world’s largest GPU” – an upgraded version of NVIDIA’s DGX “supercomputer in a box.” The NVIDIA DGX-2 server can deliver two petaflops of computational power, using the NVSwitch fabric to connect 16 of the upgraded V100 GPUs, now each with 32 GBs of memory. NVIDIA said the DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, all in a single enclosure with a power footprint of about 10kW.

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