Red Hat, NVIDIA Expand Alliance to Accelerate AI/ML Workloads Across Hybrid Cloud Environments

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The expanded collaboration brings commercial support for NVIDIA GPU-accelerated workloads running on Red Hat Enterprise Linux and Red Hat OpenShift Container Platform

Red Hat has strengthened its partnership with NVIDIA to accelerate the enterprise adoption of AI, machine learning and data analytics workloads in production environments. The company is also launching an early access program for prospective customers.

By combining Red Hat’s leading enterprise open source software solutions with NVIDIA’s innovative GPU hardware, CUDA-X acceleration libraries and NGC container registry, the companies are demonstrating new capabilities for running GPU-accelerated workloads across the hybrid cloud.

The NGC container registry provides a rich catalog of GPU-accelerated AI/ML and data analytics containers that can run on a foundation of Red Hat Enterprise Linux and Red Hat OpenShift Container Platform with supported NVIDIA GPUs on-premise and in the cloud.

“Technologies like artificial intelligence and machine learning are fundamentally changing the way we do business; however, enterprises are still facing challenges related to compatibility and support for these workloads. Through our work with NVIDIA, we are combining leading hardware and software to deliver solutions to address these challenges and help lay the foundation for data-driven innovation to thrive,” said Chris Wright, Chief Technology Officer, Red Hat

Enabling businesses to explore and deploy AI and analytics at scale

In October 2018, Red Hat announced the certification of Red Hat Enterprise Linux on NVIDIA DGX-1 systems, opening the door for enterprises to more easily move GPU-accelerated workloads from experimental, sandbox test environments into production. Building on this work, the companies have now certified Red Hat Enterprise Linux on additional NVIDIA-powered computing platforms, including NVIDIA DGX-2 AI systems and NVIDIA T4 GPU-powered systems available from the world’s leading server manufacturers.

Commenting on the deepening their alliance with Red Hat, NVIDIA Vice President of Compute Software Chris Lamb, said, “Today’s enterprises running AI and analytics workloads at scale need world-class accelerated computing technology combined with easy-to-use, advanced software management tools. Through our expanded collaboration, NVIDIA and Red Hat are enabling businesses and organizations worldwide to more effortlessly explore and deploy AI and analytics at scale.”

The companies claim that the combination of Red Hat and NVIDIA technologies enables applications to more efficiently tap into the raw computational power needed to run resource-intensive workloads and scale them across hybrid environments.

 

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