NVIDIA-Certified Systems

NVIDIA-Certified Systems

This document lists the systems that have been tested with the latest NVIDIA GPUs and networking and are evaluated by NVIDIA engineers for performance, functionality, scalability, and security.

The NVIDIA-Certified Systems program has assembled the industry’s most complete set of accelerated workload performance tests to help its partners deliver the highest performing systems. NVIDIA-Certified Systems are tested with the most powerful enterprise NVIDIA GPUs and networking and are evaluated by NVIDIA engineers for performance, functionality, scalability, and security. NVIDIA-Certified Systems have been proven to deliver predictable performance and enable enterprises to quickly deploy optimized platforms for AI, Data Analytics, HPC, high-density VDI, and other accelerated workloads in the data center, at the Edge, and on the desktop.

NVIDIA has expanded the NVIDIA-Certified Systems program beyond servers designed for the data center to include GPU-powered workstations, high-density VDI systems, and Edge devices. NVIDIA-Certified systems for the data center are tested both as single nodes and in a 2-node configuration. Workstations, high-density VDI, and Edge systems in the NVIDIA-Certified systems program are evaluated on their standalone performance with the NVIDIA GPUs within a single system.

Guidelines for configuring NVIDIA-Certified Systems to achieve best results for running a range of accelerated computing workloads can be found here.

The NVIDIA NGC Catalog is the hub for GPU-accelerated and network-optimized software for AI and other compute-intensive workloads. It simplifies deployments and shortens time-to-solution with curated containers, pre-trained models, resources, SDKs, and Helm charts. NGC software runs on a wide variety of NVIDIA GPU-accelerated platforms, including NVIDIA DGX™ Systems, on-premises servers from NVIDIA partners, and leading cloud platforms. NVIDIA-Certified Systems are tested using software from the NGC Catalog, and customers can choose to purchase enterprise-grade support through NVIDIA AI Enterprise Support Services. NVIDIA AI Enterprise Support Services provides direct access to NVIDIA subject matter experts who can quickly address software issues to minimize system downtime and maximize system utilization and user productivity.

NVIDIA-Certified systems for the data center are tested with NVIDIA networking but can be purchased and deployed by customers with their choice of networking. NVIDIA partners resell NVIDIA AI Enterprise Support Services. These services are available for NVIDIA-Certified systems configured with any network adaptors and deployed in any data center. Visit the following pages for additional information:

• NVIDIA-Certified Systems
• NVIDIA-Certified Systems Configuration Guide
• NGC Catalog
• NVIDIA AI Enterprise Software
• NVIDIA AI Enterprise Support Services
• NGC-Ready Servers

NVIDIA-Certified Systems have successfully completed a rigorous suite of functional and performance tests. NVIDIA-Certified systems for the data center are tested both as single nodes and in a 2-node configuration. Workstations, high-density VDI systems, and Edge devices in the NVIDIA-Certified systems program are evaluated on their standalone performance with the NVIDIA GPUs within a single system.

NVIDIA-Certified Systems testing of Data Center Servers, Workstations, High-Density VDI systems, and Edge devices includes measures of:

• Single and multi-GPU Deep Learning training performance using TensorFlow and PyTorch

• High volume, low latency inference using NVIDIA TensorRT and TRITON

• GPU-Accelerated Data Analytics & Machine Learning using RAPIDS

• Application development using the NVIDIA CUDA Toolkit and the NVIDIA HPC SDK

NVIDIA-Certified Systems - Data Center Servers are tested for:

• Multi-Node Deep Learning training performance

• High bandwidth, low latency networking, and accelerated packet processing

• System-level security and hardware-based key management

NVIDIA AI Enterprise, version 2.0 and later, supports bare metal and virtualized deployments. All NVIDIA-Certified Data Center Servers and NGC-Ready servers with eligible NVIDIA GPUs are NVIDIA AI Enterprise Compatible for bare metal deployments. The NVIDIA-Certified systems that NVIDIA has validated for deployment in a VMware vSphere environment are listed below.

The NVIDIA GPUs supported by VMware vSphere on each partner system are listed in the VMWare Compatibility Guide. For bare metal deployments with Red Hat Enterprise Linux, refer to the Red Hat Certified Hardware page for supported systems.

NGC-Ready systems that are NVIDIA AI Enterprise Compatible are listed on the NGC-Ready systems documentation site.

See the NVIDIA AI Enterprise technical documentation for more information on supported systems.

The following systems have been validated by NVIDIA as NVIDIA-Certified Systems – OVX Servers with the supported NVIDIA GPUs listed in the following table. OVX Servers are also tested for Zero Trust deployments using Bluefield-3 3220.

The following systems have been validated by NVIDIA as NVIDIA-Certified Systems - Data Center Servers with the supported NVIDIA GPUs listed in the following table. The GPUs listed below are certified for Data Center Servers for every generally available GPU version. For example, every system validated for the A100 GPU is certified for both the A100 40 GB and A100 80 GB GPU versions.

The following systems have been validated by NVIDIA as NVIDIA-Certified Systems - Workstations.

NVIDIA-Certified workstations provide the hardware foundation of Data Science Workstations that combine optimized hardware with a data science software stack built on NVIDIA CUDA-X AI. They utilize enterprise-class GPUs to accelerate data science workloads, and are validated for optimal performance, reliability, and compatibility with NVIDIA software and services.

The following systems have been validated by NVIDIA as NVIDIA-Certified Systems - Mobile Workstations.

NVIDIA-Certified workstations provide the hardware foundation of Data Science Workstations that combine optimized hardware with a data science software stack built on NVIDIA CUDA-X AI. They utilize enterprise-class GPUs to accelerate data science workloads, and are validated for optimal performance, reliability, and compatibility with NVIDIA software and services.

The following systems have been validated by NVIDIA as NVIDIA-Certified Systems - High-Density VDI Servers.

The following servers and workstations have been validated by NVIDIA as NVIDIA-Certified Systems - Edge Systems.

NVIDIA-Certified Systems Testing Software Environment

NVIDIA-Certified systems are tested in a standardized software environment that provides the highest levels of stability and performance. The current software test environment for NVIDIA-Certified systems uses production versions of the following:

• Ubuntu 20.04
• NVIDIA drivers
• MLNX_OFED network adaptor drivers
• NVIDIA Cloud Native Core with NVIDIA GPU Operator and Kubernetes

NVIDIA also supports its AI software running on Red Hat Enterprise Linux and CentOS. More details about OS support can be found at https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html.

List of NVIDIA-Certified Systems Supported Software

NVIDIA supports the following software running on NVIDIA-Certified systems:

• Containers in general availability published by NVIDIA on the NGC Catalog including:
  • TensorFlow
  • PyTorch
  • TensorRT
  • Triton Inference Server
  • CUDA
  • RAPIDS
  • Clara Train
  • NVIDIA TAO
  • NVIDIA Riva
  • NVIDIA Omniverse

Free online support for NVIDIA's NGC containers is available on the NVIDIA Developer Forums.

Enterprise support subscriptions for NVIDIA-Certified 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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Arm

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