NVIDIA GTX 760 DRIVERS UBUNTU PC

It is important to note that not all CUDA-enabled GPUs can perform deep learning tasks. What about non-desktop GPUs such as those on workstation or laptop? Can we also use them for deep learning? NVIDIA provides the list for all products with CUDA support on this page. The list is sourced from the Wikipedia entry of NVIDIA GPUs. This post summarizes the list of NVIDIA desktop GPU models that serve as a better fit for building a deep learning AI system, especially through containerization support of AI tasks.

Only graphics card having GPUs with architecture newer than Fermi can benefit from this feature. This utility, however, cannot be immediately usable for all NVIDIA graphics card models. As the name suggests, the utility targets Docker container type. NVIDIA provides a utility called NVIDIA Docker or nvidia-docker2 that enables the containerization of a GPU-accelerated machine. This means that that the underlying GPU resources should then be shared among the containers. With the increasing popularity of container-based deployment, a system architect may consider creating several containers with each running different AI tasks.

NVIDIA GTX 760 DRIVERS UBUNTU PC

From the frugality point of view, it may be a brilliant idea to scavenge unused graphics cards from the fading PC world and line them up on another unused desktop motherboard to create a somewhat powerful compute node for AI tasks. A vantage point with GPU computing is related with the fact that the graphics card occupies the PCI / PCIe slot. If you are doing deep learning AI research and/or development with GPUs, big chance you will be using graphics card from NVIDIA to perform the deep learning tasks.

Nvidia gtx 760 drivers ubuntu