NGC-Ready Systems

NGC-Ready Systems

This document lists the systems that have been validated by NVIDIA as "NGC-Ready" and as "NGC-Ready for Edge".

NGC software runs on a wide variety of NVIDIA GPU-accelerated platforms, including on-premises NGC-Ready and NGC-Ready for Edge servers, NVIDIA DGX™ Systems, workstations with NVIDIA TITAN and NVIDIA Quadro® GPUs, and leading cloud platforms.

The following lists the 3rd-party systems that have been validated by NVIDIA as "NGC-Ready". NGC-Ready servers have passed an extensive suite of tests that validate their ability to deliver high performance running NGC containers. NGC-Ready system validation includes tests of:

• Single and multi-GPU Deep Learning training using TensorFlow, PyTorch and NVIDIA DeepStream Transfer Learning Toolkit
• High volume, low latency inference using NVIDIA TensorRT, TensorRT Inference Server, and DeepStream
• Data Science using RAPIDS and XGBoost
• Application development using the CUDA Toolkit.

NGC-Ready for Edge servers have, in addition to passing the NGC-Ready tests, demonstrated their ability to support the NVIDIA EGX platform that uses the industry standards of TPM for hardware-based key management and Redfish for remote systems management.

NVIDIA AI Enterprise Compatible Systems

The NGC-Ready servers listed below as NVIDIA AI Enterprise Compatible are only supported by NVIDIA AI Enterprise when they are equipped with NVIDIA V100 or T4 GPUs. NVIDIA AI Enterprise Compatible systems supporting newer generations of NVIDIA GPUs are listed on the NVIDIA-Certified systems web site. See the NVIDIA AI Enterprise technical documentation for more information about supported hardware and software platforms.

NGC-Ready Servers

NGC-Ready Data Science Workstations

NGC-Ready Data Science Mobile Workstations

NGC-Ready system validation includes tests of:

• Single and multi-GPU Deep Learning training using TensorFlow, PyTorch and NVIDIA DeepStream Transfer Learning Toolkit
• High volume, low latency inference using NVIDIA TensorRT, TensorRT Inference Server, and DeepStream
• Data Science using RAPIDS and XGBoost
• Application development using the CUDA Toolkit.

NGC-Ready for Edge servers have, in addition to passing the NGC-Ready tests, demonstrated their ability to support the NVIDIA EGX platform that uses the industry standards of TPM for hardware-based key management and IPMI for remote systems management.

The following lists the 3rd-party systems that have been validated by NVIDIA as "NGC-Ready for Edge".

NGC-Ready for Edge Servers

NGC-Ready Testing Software Environment NGC-Ready and NGC-Ready for Edge servers are tested using standardized software environments that have been demonstrated to provide the highest levels of stability and performance. These NGC-Ready and NGC-Ready for Edge servers were tested using the following software:

• Ubuntu 16.04, 18.04, or 20.04
• RHEL 7.5 or 7.6
• NVIDIA drivers
• Docker-ce
• NVIDIA Container Runtime

List of NGC-Ready Supported Software The following lists the software supported by NVIDIA as "NGC-Ready".

• Containers published on NGC by NVIDIA including:
  • TensorFlow: https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow
  • PyTorch: https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
  • TensorRT: https://ngc.nvidia.com/catalog/containers/nvidia:tensorrt
  • Triton Inference Server: https://ngc.nvidia.com/catalog/containers/nvidia:tritonserver
  • CUDA: https://ngc.nvidia.com/catalog/containers/nvidia:cuda
  • NVCaffe: https://ngc.nvidia.com/catalog/containers/nvidia:caffe
• RAPIDS 0.5 and later releases: https://ngc.nvidia.com/catalog/containers/nvidia:rapidsai:rapidsai

Free online support for NGC is available at the NVIDIA Developer Forum.

Enterprise support subscriptions for NGC-Ready systems are available through NVIDIA AI Enterprise Support Services.

Containers published on NGC by 3rd parties are supported by their respective publishers.

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