Tags: NVIDIA

How to Containerize GPU Applications

By providing self-contained execution environments without the overhead of a full virtual machine, containers have become an appealing proposition for deploying applications at scale. The credit goes to Docker for making containers easy-to-use and hence making them popular. From enabling multiple...
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Valve Launches SteamVR Support for Linux

Valve has been giving Steam users Linux love since 2012, and it's not stopping with VR. The company just launched SteamVR for Linux, letting developers create Linux content for the HTC Vive VR headset, trackers and other hardware. The program is in beta, meaning developers must use an NVIDIA...
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IBM Launches New Linux, Power8, OpenPower Systems

IBM on Thursday rolled out its latest Power8 processor, which is designed to move data faster, and new servers with OpenPower features. For IBM, the OpenPower Foundation community is critical for its Power8 processor. A bevy of companies are in OpenPower, a group that aims to be a counterweight to...
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Nvidia Plugin Makes GPU Acceleration Possible in Docker Containers

Machine learning apps in containers can't run GPU-accelerated code, but a new Docker plugin by Nvidia is set to remedy all that. Nvidia, developer of the CUDA standard for GPU-accelerated programming, is releasing a plugin for the Docker ecosystem that makes GPU-accelerated computing possible in...
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