Your submission was sent successfully! Close

You have successfully unsubscribed! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates about Ubuntu and upcoming events where you can meet our team.Close

Canonical collaborates with NVIDIA to accelerate enterprise AI adoption in multi-cloud environments and at the edge

Canonical

on 7 November 2019

This article is more than 4 years old.


Enterprises currently face the challenge of how to adopt and integrate AI and ML into their operations effectively, at scale and with minimum complexity. In tandem, today’s AI workloads have become increasingly advanced and the compute power required to support them has exponentially increased. 

Canonical and NVIDIA have collaborated to help enterprises accelerate their adoption of AI and ML with Ubuntu 18.04 LTS certified on the NVIDIA DGX-2 AI system. This combination brings unprecedented performance, flexibility and security to enterprises’ AI/ML operations. With the ability to run the entire line of DGX systems either stand-alone or as part of a Kubernetes cluster on Ubuntu, enterprises can unlock containerised and cloud-native development of GPU-accelerated workloads.  

The NVIDIA DGX-2 offers unprecedented levels of compute, with 16 of the world’s most advanced GPUs delivering 2 petaFLOPS of AI performance. With the combination of DGX-2  and Ubuntu 18.04 LTS, data scientists and engineers can move faster and at a greater scale using their chosen operating system, allowing them to deliver portable AI workloads on-premises, in the cloud and at the edge.

“Ubuntu is the preferred AI and ML platform for developers and the No. 1 operating system for Kubernetes deployments on-premises and in the public cloud. This collaboration with NVIDIA enables enterprises to enhance their developers’ productivity and incorporate AI more quickly through development stages to production,” said Stephan Fabel, Director of Product at Canonical. “The combination of DGX-2 and Ubuntu helps organisations to realise the vast potential of AI, allowing them to develop and deploy models at scale via the world’s most powerful AI system.”

“DGX-2 was built to solve the world’s most complex AI challenges in a purpose-built solution,” said Tony Paikeday, Director, AI Systems, NVIDIA. “DGX-2 and Ubuntu bring the best of both worlds together, giving AI developers the power to explore without limits in a solution that enterprises can easily manage.”

Ubuntu 18.04 LTS with NVIDIA DGX-2 builds upon a long-standing collaboration with Canonical enabling NVIDIA GPU hardware in a consistent, performant and seamless manner across private and public infrastructure. Canonical’s Charmed Kubernetes fully automates the installation and enablement of NVIDIA GPUs and is tightly integrated with public cloud Kubernetes offerings, where similar enablement on the worker nodes running Ubuntu provide a uniquely portable multi-cloud experience for AI and ML use cases.

Time to prepare for Ubuntu 18.04 LTS End of Standard Support

Bionic Beaver will reach the end of the standard, five-year maintenance window for Long-Term Support (LTS) releases on 31 May 2023. Migrate to the latest LTS or get extended coverage until 2028 with Ubuntu Pro.

Learn more ›

Newsletter signup

Get the latest Ubuntu news and updates in your inbox.

By submitting this form, I confirm that I have read and agree to Canonical's Privacy Policy.

Related posts

Canonical Kubernetes enhances AI/ML development capabilities with NVIDIA integrations

In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have surged in importance. This rise can be attributed to a massive influx of data,...

Scale Enterprise AI with Canonical and NVIDIA

Charmed Kubeflow is now certified in the NVIDIA DGX-Ready Software Program for MLOps! Canonical is proud to announce that Charmed Kubeflow is now certified as...

Join Canonical at 2024 GTC AI Conference

As a key technology partner with NVIDIA, Canonical is proud to showcase our joint solutions at NVIDIA GTC again. Join us in person at NVIDIA GTC on March...