A single HGX-2, Nvidia says, can replace up to 300 CPU-only servers on deep learning training. It's achieved record AI training speeds of 15,500 images per second on the ResNet-50 training benchmark.

HGX-1 offered up to eight GPUs, half of what the HGX-2 can support. Using NVSwitch interconnect to tie together up to 16 Tesla V100 GPUs enables them to become what Huang called “the world’s ...

The HGX-1, announced a year ago, handled only 8 GPUs. Nvidia describes the HGX-2 as a “building block” around which servers makers can build systems that can be tuned to different tasks.

The HGX-2 cloud server platform, with multi-precision computing capabilities, provides unique flexibility to support the future of computing. It allows high-precision calculations using FP64 and FP32 ...

NVIDIA's HGX-2 set a record in AI training speed by processing 15,500 images per second on the ResNet-50 training benchmark. According to NVIDIA, it can replace up to 300 CPU-only servers.

The HGX-2 itself is not a computer, but rather a platform for manufacturers to use in creating their own machines. The first system built on this platform was Nvidia's own DGX-2 announced in March.

A number of leading computer makers today shared plans to bring to market systems based on the NVIDIA HGX-2 platform. NVIDIA’s HGX-2 ups the ante with a design capable of delivering two petaflops of ...

Today Supermicro announced that the company’s upcoming NVIDIA HGX-2 cloud server platform will be the world’s most powerful system for artificial intelligence and HPC capable of performing at 2 ...

It comes standard with a 1/2 a terabyte of memory and 12 Nvidia NVSwitches, which enable GPU to GPU communications at 300 GB per second. They have doubled the capacity from the HGX-1 released last ...

HGX-2 also useful for HPC workloads for ultimate flexibility Another interesting element of HGX-2 is that it can be used for HPC workloads as well as A.I.

Nvidia has introduced the HGX-2, a cloud server platform equipped with 16 Tesla V100 graphics processing units (GPUs) for training artificial intelligence models and running high performance computing ...