As AI continues to enable extraordinary leaps in the capabilities of applications and services, it has become critical for organizations to flexibly deploy infrastructure for these solutions and make efficient use of them.
NVIDIA provides a number of solutions to accomplish this. NVIDIA GPU Cloud (NGC) provides containerized versions of all the top deep learning software, thoroughly tested and updated frequently for maximum performance on NVIDIA GPUs. In conjunction, NVIDIA has also extended Kubernetes, the most popular tool for orchestrating containers, to support GPU-accelerated servers and GPU telemetry. NVIDIA also has a comprehensive portfolio of data center GPUs for use both in on-prem installations and on the top public cloud providers. All of this together creates a dynamic, scalable environment for AI implementations.
By watching this webinar replay, you'll learn:
- How NGC containers simplify deployment of AI software
- A technical overview of Kubernetes on NVIDIA GPUs
- Tips and tricks for rolling out orchestrated AI solutions for maximum performance and scalability