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Syslogic and Nvidia partner on industrial AI


Syslogic is one of the world's first companies to offer ultra-rugged industrial computers based on Nvidia processor technology. The current product portfolio includes various embedded computers based on Nvidia's Jetson-TX2 processor module. Syslogic has also developed an AI rugged computer based on the Jetson AGX Xavier platform, with IP67 protection class and believed to be the most robust device with an Nvidia processor. Syslogic and Nvidia want to make AI integration as easy as possible for its customers and all Syslogic AI embedded systems are to be delivered with a pre-installed Ubuntu board support package (L4T – Linux for Tegra). Additionally, a complete developer environment (JetPack) including Nvidia CUDA libraries is installed.

NVIDIA kills its 'anticompetitive' GeForce Partner Program


NVIDIA has canceled the GeForce Partner Program (GPP) just two months after announcing it. The GPP began with little fanfare in early March, but it quickly became clear (thanks to work by HardOCP's Kyle Bennett) that it was more than a simple branding initiative. Bennett showed that GPP was encouraging manufacturers to solely produce PCs and laptops with NVIDIA GPUs inside. Should a manufacturer not play ball, NVIDIA would at best not include it in marketing efforts, and at worst actively hold back inventory to exclude it from upcoming GPU launches. The allegedly oppressive terms of the GPP contracts led to accusations that NVIDIA was being anticompetitive.

Nvidia launches new colocation program to jumpstart data center deployments


Amid a surprising slowdown of Nvidia's data center business, the GPU maker is launching a new program that should make it easier for businesses to take advantage of Nvidia's DGX systems. With the new DGX-Ready Data Center program, businesses can get access to data center services through a new network of qualified Nvidia colocation partners. GPU-accelerated computing is useful for businesses that want to deploy AI workloads. As Nvidia pointed out in its announcement, organizations across a range of industries -- from healthcare to oil and gas businesses -- have successfuly deployed their own DGX system-based AI data centers. However, many organizations don't have modern data center facilities that can support accelerated computing operations.

Watch NVIDIA's GeForce RTX launch right here at 12PM ET!


By holding a rare solo press conference at Gamescom 2018, NVIDIA is offering a pretty good clue about what it will announce. Thanks to the inevitable leaks, we know it'll likely take the wraps off its latest consumer gaming graphics cards, including the flagship GeForce RTX 2080 Ti. All signs point to Turing-based GPUs with ray-tracing tech (hence RTX rather than GTX) that will make games more realistic -- much like we just saw with its professional Quadro cards. For the 2080 Ti, expect big performance bumps, thanks to the first ever use of GDDR6 memory, along with a beastly 4,352 CUDA cores. You'll reportedly pay around $1,000 for the card and more in power bills, as the 2080 Ti reportedly gulps 285 watts of power.



This repository includes utilities to build and run NVIDIA Docker images. The full documentation is available on the repository wiki. A good place to start is to understand why NVIDIA Docker is needed in the first place. A signed copy of the Contributor License Agreement needs to be provided to before any change can be accepted.