NGC-Ready Systems

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

1. List of NGC-Ready Systems

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 IPMI for remote systems management.

NVIDIA has developed best practices for configuring NGC-Ready and NGC-Ready for Edge Servers. Refer to the Guidelines for Configuring NGC-Ready Servers for recommendations on how to set up your servers to deliver the best performance running NGC containers.

NGC-Ready Servers

Manufacturer Server Supported NVIDIA GPU
Advantech SKY-6100 NVIDIA T4
Altos BrainSphere P550 F4 NVIDIA T4
AsRock Rack 1U2FH-4L/C622 NVIDIA T4
AsRock Rack 1U2G-EPYC/2T NVIDIA T4
AsRock Rack 2U2G C622 NVIDIA T4
ASUS ESC 4000 G4 NVIDIA T4
ATOS BullSequana Edge NVIDIA T4
ATOS BullSequana S200 NVIDIA T4
ATOS BullSequana X112 NVIDIA Tesla V100 for NVLINK
Cisco UCS C240 M5 NVIDIA T4
Cisco UCS C480 ML M5 NVIDIA Tesla V100 for NVLINK
Cray CS Storm NX NVIDIA Tesla V100 for NVLINK
Dell EMC DSS 8440 NVIDIA Tesla V100 for PCIe
Dell EMC PowerEdge C4140 NVIDIA Tesla V100 for NVLINK
Dell EMC PowerEdge R640 NVIDIA T4
Dell EMC PowerEdge R740 NVIDIA T4
Dell EMC PowerEdge R6515 NVIDIA T4
Dell EMC PowerEdge R6525 NVIDIA T4
Dell EMC PowerEdge R7515 NVIDIA T4
Dell EMC PowerEdge R7425 NVIDIA T4
Fujitsu PRIMERGY RX2530 M5 NVIDIA T4
Fujitsu PRIMERGY RX2540 M5 NVIDIA T4
Huawei FusionServer G560 V5 NVIDIA T4, NVIDIA Tesla V100 for NVLINK
GIGABYTE G191-H44 NVIDIA T4
Hewlett Packard Enterprise Apollo 6500 NVIDIA Tesla V100 for NVLINK
Hewlett Packard Enterprise ProLiant DL380 NVIDIA T4
Inspur NF5280M5 NVIDIA T4
Inspur NF5468M5 NVIDIA Tesla V100 for NVLINK, NVIDIA T4
Lenovo ThinkSystem SE350 NVIDIA T4
Lenovo ThinkSystem SR670 NVIDIA T4
MiTAC Rack 2U/Firestone NVIDIA T4
QCT QuantaGrid D43K-1U NVIDIA T4
QCT QuantaGrid D52BV-2U NVIDIA T4
QCT QuantaGrid D52G-4U NVIDIA Tesla V100 for NVLINK
QCT QuantaGrid SD2H-1U NVIDIA T4
Sugon X760-G30 NVIDIA T4
Sugon X795-G30 NVIDIA Tesla V100 for NVLINK
Supermicro SYS-1019D-FHN13TP NVIDIA T4
Supermicro SYS-2029GP-TR NVIDIA Tesla V100 - PCIe, NVIDIA T4
Supermicro SYS-4029GP-TRT2 NVIDIA Tesla V100 - PCIe
Supermicro SYS-4029GP-TVRT NVIDIA Tesla V100 for NVLINK, NVIDIA T4
Supermicro SYS-5019D-FN8TP NVIDIA T4
Tyan Thunder CX GT24E-B5556. NVIDIA T4
Tyan Thunder TN76-B7102 NVIDIA T4
WiWynn SV310G3 NVIDIA T4

NGC-Ready Workstations

Manufacturer Workstation Supported NVIDIA GPU
APY AI Lx NVIDIA Quadro GV100, RTX 6000 and RTX 8000
APY AI Lx2 G2 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
ASUS E900 G4 NVIDIA Quadro RTX 6000
Azken Muga W45 Data Science NVIDIA Quadro GV100, RTX 6000, and RTX 8000
BOXX Apexx W3 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
BOXX Apexx D4 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
Colfax SXT9700 NVIDIA Quadro RTX 8000
Dell Precision 5820 Tower NVIDIA Quadro GV100 and RTX 6000
Dell Precision 7920 Tower NVIDIA Quadro GV100 and RTX 6000
Delta Computer Data-Science-Workstation NVIDIA Quadro GV100, RTX 6000, and RTX 8000
Exxact TWS-1686525-NDS NVIDIA Quadro RTX 6000
Exxact Valence VWS-1735800-NDS NVIDIA Quadro RTX 6000
Forsite DSWS NVIDIA Quadro GV100, RTX 6000, and RTX 8000
Forsite DSWS PRO NVIDIA Quadro GV100, RTX 6000, and RTX 8000
GDEP Deep Learning Box NVIDIA Quadro RTX 6000 and RTX 8000
GDEP Deep Learning Station NVIDIA Quadro GV100, RTX 6000 and RTX 8000
HPI Z4 G4 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
HPI Z8 G4 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
Image et Technologie Quadro RTX Workstation NVIDIA Quadro RTX 6000 and RTX 8000
Leadtek WS830 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
Leadtek WS1030 NVIDIA Quadro GV100, RTX 6000 and RTX 8000
Lenovo ThinkStation P520 Tower NVIDIA Quadro GV100, RTX 6000 and RTX 8000
Lenovo ThinkStation P920 Tower NVIDIA Quadro GV100, RTX 6000 and RTX 8000
Microway Data Science WhisperStation NVIDIA Quadro RTX 6000
Nextron ScienceStation NVIDIA Quadro RTX 6000 and RTX 8000
One Stop Systems OSS-DSPRO NVIDIA Quadro RTX 6000
RAVE RAVE-DSW NVIDIA Quadro RTX 6000
Scan 3XS Data Science Workstation G1000X NVIDIA Quadro GV100, RTX 6000, and RTX 8000
Scan 3XS Data Science Workstation G2000X NVIDIA Quadro GV100, RTX 6000, and RTX 8000
sysGen devCUBE Data Science Workstation NVIDIA Quadro GV100, RTX 6000, and RTX 8000

2. List of NGC-Ready for Edge Systems

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.

NVIDIA has developed best practices for configuring NGC-Ready and NGC-Ready for Edge Servers. Refer to the Guidelines for Configuring NGC-Ready Servers for recommendations on how to set up your servers to deliver the best performance running NGC containers.

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

NGC-Ready for Edge Servers

Manufacturer Server Supported NVIDIA GPU
Advantech SKY-6100 NVIDIA T4
Altos BrainSphere P550 F4 NVIDIA T4
AsRock Rack 1U2FH-4L/C622 NVIDIA T4
AsRock Rack 1U2G-EPYC/2T NVIDIA T4
AsRock Rack 2U2G C622 NVIDIA T4
ATOS BullSequana Edge NVIDIA T4
Dell EMC PowerEdge R640 NVIDIA T4
Dell EMC PowerEdge R740 NVIDIA T4
Dell EMC PowerEdge R6515 NVIDIA T4
Dell EMC PowerEdge R6525 NVIDIA T4
Dell EMC PowerEdge R7515 NVIDIA T4
Dell EMC PowerEdge R7425 NVIDIA T4
Fujitsu PRIMERGY RX2530 M5 NVIDIA T4
Fujitsu PRIMERGY RX2540 M5 NVIDIA T4
GIGABYTE G191-H44 NVIDIA T4
Hewlett Packard Enterprise ProLiant DL380 NVIDIA T4
Lenovo ThinkSystem SE350 NVIDIA T4
Lenovo ThinkSystem SR670 NVIDIA T4
MiTAC Rack 2U/Firestone NVIDIA T4
QCT QuantaGrid D43K-1U NVIDIA T4
QCT QuantaGrid D52BV-2U NVIDIA T4
QCT QuantaGrid SD2H-1U NVIDIA T4
Supermicro SYS-1019D-FHN13TP NVIDIA T4
Supermicro SYS-2029GP-TR NVIDIA T4
Supermicro SYS-5019D-FN8TP NVIDIA T4
Tyan Thunder CX GT24E-B5556. NVIDIA T4
Tyan Thunder TN76-B7102 NVIDIA T4

3. NGC-Ready Supported Software

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. The current software test environments for NGC-Ready and NGC-Ready for Edge servers are the latest GA releases of the following, either running on bare metal servers or in a virtualized environment using NVIDIA vComputeServer:
  • Ubuntu 16.04 and 18.04
  • RHEL 7.5 and 7.6
  • NVIDIA drivers
  • Docker-ce
  • NVIDIA Container Runtime

List of NGC-Ready Supported Software

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

Free online support for NGC is available at NVIDIA Devtalk.

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