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Join Canonical at NVIDIA GTC 2022

As a strategic partner of NVIDIA, Canonical is proud to be one of the leading sponsors of the NVIDIA GTC again! Join us virtually at NVIDIA GTC on September 19-22 to explore the latest technology and business trends and learn from experts on how AI and the evolution of the 3D Internet are profoundly impacting industries and society as a whole.

Sep

Scalable open source from the data centre to the edge

Integrate NVIDIA’s technology with the entire spectrum of open source – across all infrastructure pillars – with the most popular Linux distribution, delivered by Canonical. NVIDIA’s technology provides superior performance advantages, supporting compute-intensive use cases, such as AI/ML or visualisation (GPUs), ensuring CPU offloading capabilities (DPUs) and energy efficiency through hardware visualisation capabilities (vGPU). Canonical provides cost-effective infrastructure where NVIDIA’s goodness is natively available, enabling enterprises to enter AI/ML and visualisation spaces faster.

During NVIDIA GTC 2022, Canonical will be hosting a joint panel featuring experts from NVIDIA talking about how leading telco corporations run on Canonical infrastructure and the benefits of leveraging Canonical and NVIDIA’s work together. Please check out the details below and reserve your free spot for the session today!

Visit Canonical’s microsite at GTC

Canonical’s Panel at GTC

“How Telcos Leverage Canonical and NVIDIA for AI Infrastructure and Accelerated Visualization”

Whether deployed at the cloud or at the edge, applications leverage NVIDIA GPUs for accelerating AI, NVIDIA Virtual GPU (vGPU) for accelerating visualization workloads, MIG or Bluefield DPUs and ConnectX cards to offload and speed up networking.

In this free form discussion, the panelists will touch upon a variety of topics including

Why GPUs are a key hardware component in making any 5G, OpenRAN and Multi-Service use deployments deliver on their ROI promises
How vGPUs form a key enabling technology in next generation services created by companies like Vodafone R&D in their exploration around Edge hosted Smartphone solutions for low ARPU markets
Real-life examples of work that NVIDIA and Canonical do to bring the best experience to Ubuntu – the popularfavorite open-source OS from the cloud to the edge
The benefits that Canonical’s Charmed Openstack and Kubernetes brings in conjunction with NVIDIA vGPU technology for telco and enterprise
How NVIDIA Aerial and Canonical jointly deliver technology enablers to help telco customers with their AI on 5G deployments
How telcos and enterprises can leverage Ubuntu and open-source technologies for more efficient datacenter and edge deployments

Panel Members:

Moderator: Maciej Mazur, Product Manager of Telco, Canonical

Panelist: Shuvo Chowdhury, Principal Product Manager, NVIDIA

Panelist: Arno Van Huysteen, CTO – Global Service Provider, Canonical

Turnkey AI solutions for the enterprise powered by Canonical and NVIDIA

Increasingly, data centre are heterogeneous – with accelerators like NVIDIA GPUs, and Bluefield DPUs playing a key role in providing the highest performance and the biggest bang-for-the-buck. In a composable, software-defined world, it is not just how great your hardware is, but how well it integrates with the software running the datacenter is what counts. Whether it is a bare-metal containerized environment orchestrated by Kubernetes, or a more traditional datacenter running on open-source solutions, Canonical and NVIDIA work to bring to our customers validated solutions with the latest technologies.

Ubuntu is the enterprise-grade Linux most loved by developers – in the cloud or at the edge. Unlike other enterprise Linux distributions, developers can get started for free. Users benefit from teams working continuously to add the latest NVIDIA software into Ubuntu, enabling native integration into technologies like NVIDIA PeerDirect, NVIDIA GPUDirect and GPUDirect Storage in addition to a variety of signed NVIDIA GPU drivers to choose from. Each Ubuntu LTS brings 10 years of bug fixes and security patches to NVIDIA DGX systems, so your systems remain secure, and run perfectly out of the box. Leading AI practitioners today use Ubuntu/DGX OS combination on DGX systems to run their high-performance workloads cleanly. Integrations with Canonical Kubernetes provide a highly performant, one-stop solution for orchestrating a datacenter with NVIDIA DGX-nodes, while enterprise-class support is just a few clicks away through Canonical and NVIDIA.