NVIDIA uses containers to develop, test, benchmark, and deploy deep learning (DL) frameworks and HPC applications. We wrote about building and deploying GPU containers at scale using NVIDIA-Docker roughly two years ago. Since then, NVIDIA-Docker has been downloaded close to 2 million times. A variety of customers used NVIDIA-Docker to containerize and run GPU accelerated workloads.
]]>Over the last few years there has been a dramatic rise in the use of containers for deploying data center applications at scale. The reason for this is simple: containers encapsulate an application’s dependencies to provide reproducible and reliable execution of applications and services without the overhead of a full virtual machine. If you have ever spent a day provisioning a server with a…
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