Nvidia's HGX-2 fuses high-performance and AI computing into one platform NVIDIA HAS TAKEN the covers of HGX-2, a cloud server platform designed to mix high performance and artificial intelligence (AI) computing into a unified architecture. Featuring double precision floating point cores in the form of FP64 and FP32, HGX-2 has been designed to crunch calculations for scientific and simulation workloads while using FG16 and Int8 data to train AIs and power their uses - commonly referred to as inference. Putting that into good old plain English; HGX-2 is a powerful data centre grade platform for handling high-end workloads like 3D modelling and simulation in the cloud and compute-intensive AI work. It essentially forms the building blocks on which customer companies can build their own advanced systems for high-performance computing and AI tasks. Nvidia boasted that HGX-2 can achieve "record AI training speeds of 15,500 images per second on the ResNet-50 tr...

Comments
Post a Comment