# Nvidia unveils the HGX-2, a server platform for HPC and AI workloads | ZDNet

https://blog.cynexia.com/nvidia-unveils-the-hgx-2-a-server-platform-for-hpc-and-ai-workloads-zdnet

Author: [Rob Aleck](https://blog.cynexia.com/pages/about) · https://github.com/mnbf9rca · https://www.linkedin.com/in/robertaleck/ · https://family-foqos.app/

Published: 2018-05-31
Categories: LinkedIn cross-post


While "replacing 300 CPU-only servers on deep learning training" is hardly a benchmark, 15,500 images per second on ResNet-50 is - just a couple of years ago, training throughput would be 1-2 orders of magnitude slower. Also of interest is the approach that Nvidia is taking here - a single compute "node" will be capable of delivering both AI and HPC workloads with extreme performance (the reference implementation claims two petaflops).  
[https://www.zdnet.com/article/nvidia-unveils-the-hgx-2-a-server-platform-for-hpc-and-ai-workloads/](<https://www.zdnet.com/article/nvidia-unveils-the-hgx-2-a-server-platform-for-hpc-and-ai-workloads/>)The platform's unique high-precision computing capabilities are designed for the growing number of applications that combine high-performance computing with AI.