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A New Building Block for HPC & AI: NVIDIA HGX-2 Cloud Reference Platform

Today NVIDIA introduced the NVIDIA HGX-2, a powerful cloud-server reference platform, the HGX-2 provides companies with unprecedented versatility to meet the requirements of applications that combine HPC with AI. “The HGX-2 cloud server platform supports multi-precision computing, supporting high-precision calculations using FP64 and FP32 for scientific computing and simulations, while also enabling FP16 and Int8 for AI training and inference. This unprecedented versatility meets the requirements of the growing number of applications that combine HPC with AI.”

Inside the new NVIDIA DGX-2 Supercomputer with NVSwitch

In this video from the GPU Technology Conference, Marc Hamilton from NVIDIA describes the new DGX-2 supercomputer with the NVSwitch interconnect. “NVIDIA NVSwitch is the first on-node switch architecture to support 16 fully-connected GPUs in a single server node and drive simultaneous communication between all eight GPU pairs at an incredible 300 GB/s each. These 16 GPUs can be used as a single large-scale accelerator with 0.5 Terabytes of unified memory space and 2 petaFLOPS of deep learning compute power. With NVSwitch, we have 2.4 terabytes a second bisection bandwidth, 24 times what you would have with two DGX-1s.”

NVIDIA Announces DGX-2 as the “First 2 Petaflop Deep Learning System”

Today NVIDIA unveiled the NVIDIA DGX-2: the “world’s largest GPU.” Ten times faster than its predecessor, the DGX-2 the first single server capable of delivering two petaflops of computational power. DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, while being 60x smaller and 18x more power efficient.