Be a part of Canonical at NVIDIA GTC 2022

September 1, 2022

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As a strategic companion of NVIDIA, Canonical is proud to be one of many main sponsors of the NVIDIA GTC once more! Be a part of us just about at NVIDIA GTC on September 19-22 to discover the most recent expertise and enterprise tendencies and study from specialists on how AI and the evolution of the 3D Web are profoundly impacting industries and society as an entire.

Sep 19-22, 2022, NVIDIA GTC

Register the occasion

Scalable open supply from the info centre to the sting

Combine NVIDIA’s expertise with all the spectrum of open supply – throughout all infrastructure pillars – with the most well-liked Linux distribution, delivered by Canonical. NVIDIA’s expertise gives superior efficiency benefits, supporting compute-intensive use instances, equivalent to AI/ML or visualisation (GPUs), guaranteeing CPU offloading capabilities (DPUs) and vitality effectivity by means of {hardware} visualisation capabilities (vGPU). Canonical gives cost-effective infrastructure the place NVIDIA’s goodness is natively accessible, enabling enterprises to enter AI/ML and visualisation areas sooner.

Throughout NVIDIA GTC 2022, Canonical can be internet hosting a joint panel that includes specialists from NVIDIA speaking about how main telco companies run on Canonical infrastructure and the advantages of leveraging Canonical and NVIDIA’s work collectively. Please take a look at the main points beneath and reserve your free spot for the session immediately!

Go to Canonical’s microsite at GTC

Canonical’s Panel at GTC

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

Whether or not deployed on the cloud or on the edge, functions leverage NVIDIA GPUs for accelerating AI, NVIDIA Digital GPU (vGPU) for accelerating visualization workloads, MIG or Bluefield DPUs and ConnectX playing cards to dump and velocity up networking.

On this free kind dialogue, the panelists will contact upon a wide range of subjects together with

Why GPUs are a key {hardware} element in making any 5G, OpenRAN and Multi-Service use deployments ship on their ROI guarantees
How vGPUs kind a key enabling expertise in subsequent technology providers created by firms like Vodafone R&D of their exploration round Edge hosted Smartphone options for low ARPU markets
Actual-life examples of labor that NVIDIA and Canonical do to carry the most effective expertise to Ubuntu – the popularfavorite open-source OS from the cloud to the sting
The advantages that Canonical’s Charmed Openstack and Kubernetes brings along with NVIDIA vGPU expertise for telco and enterprise
How NVIDIA Aerial and Canonical collectively ship expertise enablers to assist telco prospects with their AI on 5G deployments
How telcos and enterprises can leverage Ubuntu and open-source applied sciences for extra environment friendly datacenter and edge deployments

Panel Members:

Moderator: Maciej Mazur, Product Supervisor of Telco, Canonical

Panelist: Shuvo Chowdhury, Principal Product Supervisor, NVIDIA

Panelist: Arno Van Huysteen, CTO – International Service Supplier, Canonical

Panelist: Lokesh Batra, Senior Product Supervisor, NVIDIA

Panelist: Billy Olsen, Director, OpenStack Engineering, Canonical

Canonical Panel at NVIDIA GTC

RSVP the session

Turnkey AI options for the enterprise powered by Canonical and NVIDIA

More and more, knowledge centre are heterogeneous – with accelerators like NVIDIA GPUs, and Bluefield DPUs enjoying a key position in offering the very best efficiency and the most important bang-for-the-buck. In a composable, software-defined world, it’s not simply how nice your {hardware} is, however how properly it integrates with the software program operating the datacenter is what counts. Whether or not it’s a bare-metal containerized setting orchestrated by Kubernetes, or a extra conventional datacenter operating on open-source options, Canonical and NVIDIA work to carry to our prospects validated options with the most recent applied sciences.

Ubuntu is the enterprise-grade Linux most beloved by builders – within the cloud or on the edge. In contrast to different enterprise Linux distributions, builders can get began without cost. Customers profit from groups working repeatedly so as to add the most recent NVIDIA software program into Ubuntu, enabling native integration into applied sciences like NVIDIA PeerDirect, NVIDIA GPUDirect and GPUDirect Storage along with a wide range of signed NVIDIA GPU drivers to select from. Every Ubuntu LTS brings 10 years of bug fixes and safety patches to NVIDIA DGX techniques, so your techniques stay safe, and run completely out of the field. Main AI practitioners immediately use Ubuntu/DGX OS mixture on DGX techniques to run their high-performance workloads cleanly. Integrations with Canonical Kubernetes present a extremely performant, one-stop resolution for orchestrating a datacenter with NVIDIA DGX-nodes, whereas enterprise-class assist is just some clicks away by means of Canonical and NVIDIA.