Article 4DYZA Simplifying AI, Data Science, and HPC Workloads with NVIDIA GPU Cloud

Simplifying AI, Data Science, and HPC Workloads with NVIDIA GPU Cloud

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#4DYZA)
adel-150x146.jpg

Adel El Hallak and Philip Rogers from NVIDIA gave this talk at the GPU Technology Conference. "Whether it's for AI, data science and analytics, or HPC, GPU-Accelerated software can make possible the previously impossible. But it's well known that these cutting edge software tools are often complex to use, hard to manage, and difficult to deploy. We'll explain how NGC solves these problems and gives users a head start on their projects by simplifying the use of GPU-Optimized software."

The post Simplifying AI, Data Science, and HPC Workloads with NVIDIA GPU Cloud appeared first on insideHPC.

External Content
Source RSS or Atom Feed
Feed Location http://insidehpc.com/feed/
Feed Title High-Performance Computing News Analysis | insideHPC
Feed Link https://insidehpc.com/
Reply 0 comments