Today Oracle announced support for the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Designed to meet the needs of the next generation of analytics, machine learning, and AI, Oracle is offering GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud container registry. “Whether you are an engineer, data scientist, researcher or developer, we are bringing the power of compute and cloud to your fingertips.
Radio Free Looks at the HGX-2 Reference Platform for HPC & AI
In this podcast, the Radio Free HPC team looks at the new NVIDIA HGX-2 Reference Platform for HPC & 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.”
Supermicro Unveils 2 Petaflop SuperServer Based on New NVIDIA HGX-2
Today Supermicro announced the company is among the first to adopt the NVIDIA HGX-2 cloud server platform to develop the world’s most powerful systems for artificial intelligence and high-performance computing. “To help address the rapidly expanding size of AI models that sometimes require weeks to train, Supermicro is developing cloud servers based on the HGX-2 platform that will deliver more than double the performance,” said Charles Liang, president and CEO of Supermicro. “The HGX-2 system will enable efficient training of complex models. It combines 16 Tesla V100 32GB SXM3 GPUs connected via NVLink and NVSwitch to work as a unified 2 PetaFlop accelerator with half a terabyte of aggregate memory to deliver unmatched compute power.”