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NVIDIA: Ubuntu, SUSE and Red Hat Collaborations

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Graphics/Benchmarks

  • NVIDIA’s Ariel Kit Explains How NVIDIA BlueField DPUs Are Redefining Data Center Services

    NVIDIA is redefining the data center around the concept of data processing units (DPUs): powerful network cards running Ubuntu out of the box that combine hardware and software to deliver new classes of cloud architectures – in the data center and at the edge. 

  • Canonical expands collaboration with NVIDIA to bring AI to the edge

    Canonical has been working closely with NVIDIA for many years to fuel innovation and support open source software with the power of accelerated processing. That already allowed us to jointly deliver GPU acceleration into Linux, OpenStack and container workloads on traditional datacenter servers.

    We continued working together, with Ubuntu forming the base operating system for NVIDIA DGX systems, including the latest NVIDIA DGX A100 system. Today we are announcing the support of a new class of acceleration at the edge, on the NVIDIA EGX Edge AI platform, powered with Ubuntu. 

  • NVIDIA Unveils $59 USD Raspberry Pi Competitor With Jetson Nano 2GB

    Last year NVIDIA announced the Jetson Nano at $99 USD as their lowest-priced ARM SBC board to date focused on inference, robotics, and other GPU-accelerated tasks in a small, low-power form factor. The Jetson Nano at $99 USD is already significantly cheaper than the other numerous Jetson boards over the past several years while now today they are introducing a $59 board.

  • NVIDIA delays launch of GeForce RTX 3070 until end of October

    It seems NVIDIA don't want a repeat of what happened with the GeForce RTX 3080 and GeForce RTX 3090 as they've delayed the launch of the GeForce RTX 3070.

    When both the 3080 and 3090 launched they sold out within only a few minutes, and pretty much every store went down at some point due to the demand. This was obviously frustrating for anyone wanting to get a card, since a lot of bots appear to have grabbed them. NVIDIA themselves offered an apology on what happened in the case of the 3080 launch noting that the demand was simply unprecedented and that they saw " 4 times the unique visitors to our website, 10 times the peak web requests per second, and more than 15 times the out clicks to partner pages" when compared to previous launches.

  • SUSE Partners with NVIDIA on AI Journey From the Edge to Core to Cloud

    Today, SUSE stated its support of the announcement of the NVIDIA EGX AI platform which other key independent hardware vendors and software infrastructure providers have also endorsed.

  • Red Hat extends collaboration with NVIDIA to optimize infrastructures across the hybrid cloud

    As an increasing number of applications and related complexity put unprecedented demands on computing infrastructures, our customers are realizing that the future of computing needs to be more heterogeneous in nature; a single technology, no matter how innovative, cannot address all the requirements of modern, let alone future computing.

    Keeping a large number of systems running smoothly is a hard problem, and special devices are often required to help run well-balanced and optimized data center infrastructure. These devices, called data processing units (DPUs), employ an easily programmable multi-core CPU, a state-of-the-art network interface and a powerful set of networking, storage and security accelerators that can be programmed to perform multiple software-defined, hardware-accelerated functions.

NVIDIA Online GTC 2020 Kicks Off Today But No Open-Source Linux

  • NVIDIA Online GTC 2020 Kicks Off Today But No Open-Source Linux Announcement Expected

    NVIDIA's online GTC 2020 event kicks off today with a ton of announcements coming across the wire but not one many Linux users have been clamoring to hear more about.

    In addition to announcing the $59 NVIDIA Jetson Nano 2GB, this morning has also seen the announcements for the Ampere RTX A6000 and A40 graphics cards, Jarvis and Merlin in open beta, more Arm ecosystem support, EGX edge AI platform, and more

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