If you choose to install NVIDIA GPU drivers manually, see N-series GPU driver setup for Windows or N-series GPU driver setup for Linux for supported operating systems, drivers, installation, and verification steps. For general information about VM extensions, see Azure virtual machine extensions and features. See the NVIDIA GPU Driver Extension documentation for supported operating systems and deployment steps. Install or manage the extension using the Azure portal or tools such as Azure PowerShell or Azure Resource Manager templates. The NVIDIA GPU Driver Extension installs appropriate NVIDIA CUDA or GRID drivers on an N-series VM. To take advantage of the GPU capabilities of Azure N-series VMs, NVIDIA GPU drivers must be installed. *RDMA capable Supported operating systems and drivers
#Genesis v55 drivers series#
Request a vCPU quota increase for this series in an available region. Nvidia NVLink Interconnect: Not Supportedįor this VM series, the vCPU (core) quota per region in your subscription is initially set to 0. VM Generation Support: Generation 1 and 2 Ultra Disks: Supported ( Learn more about availability, usage and performance) Like the NC-series, the ND-series offers a configuration with a secondary low-latency, high-throughput network through RDMA, and InfiniBand connectivity so you can run large-scale training jobs spanning many GPUs. The ND-series also offers a much larger GPU memory size (24 GB), enabling to fit much larger neural net models.
These instances provide excellent performance for single-precision floating point operations, for AI workloads utilizing Microsoft Cognitive Toolkit, TensorFlow, Caffe, and other frameworks. ND instances are powered by NVIDIA Tesla P40 GPUs and Intel Xeon E5-2690 v4 (Broadwell) CPUs. They offer excellent performance for training and inference. The ND-series virtual machines are a new addition to the GPU family designed for AI, and Deep Learning workloads. Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets
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