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NVIDIA Unveils Server Products That Passed Its Certification
Dell, Gigabyte, HPE, Inspur, Supermicro, etc.
The number of AI models used for data curation has increased 30,000-fold over the past five years, driving a surge in network traffic both in data centers and at the network edge. This is driving a growing need for GPU flexibility and high-performance computing, as well as a secure, stable, high-speed infrastructure for efficient infrastructure expansion.
On the 27th, NVIDIA unveiled the industry's first server product to pass its AI workload certification program, the 'NVIDIA Certified System.'
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NVIDIA-Certified Systems are designed to accelerate AI and handle large-scale AI workloads with the latest NVIDIA GPUs running on NVIDIA Mellanox networks. This helps organizations derive insights from the vast amount of data that their existing systems miss.
Dell Technologies, GIGABYTE, Hewlett Packard Enterprise (HPE), Inspur, and Supermicro are shipping the following NVIDIA-certified systems featuring NVIDIA A100 Tensor Core GPUs.
The affected systems include: ▲Dell EMC PowerEdge R7525, R740 rack servers ▲Gigabyte R281-G30, R282-Z96, G242-Z11, G482-Z54, G492-Z51 systems ▲HPE Apollo 6500 Gen10, ProLiant DL380 Gen10 servers ▲Inspur NF5488A5 ▲Supermicro A+ servers AS-4124GS-TNR, AS-2124GQ-NART.
◇ Proven suitability for AI workloads through various tests
Certification requires passing tests across a variety of workloads, from tasks requiring multiple compute nodes to those requiring only a fraction of the performance of a single GPU. These tests validate deep learning training and inference, machine learning algorithms, intelligent video analytics, and network and storage offload.
NVIDIA-Certified Systems are optimized to run AI applications from the NGC catalog, NVIDIA's hub for GPU-optimized applications.
NGC is a software development kit that implements AI in vertical markets such as healthcare (Clara) and robotics (Isaac). We also have frameworks that support new use cases such as recommender systems (Merlin) and intelligent video analytics (Metropolis).
All NVIDIA-Certified Systems are certified using the NVIDIA Mellanox 8700 HDR 200G InfiniBand switch or the Mellanox SN3700 Ethernet switch, and are provided with enterprise support across the entire software stack, including open source code support.
Approximately 70 systems from 11 system manufacturers participated in the certification program, and to date, 14 servers from six companies have been NVIDIA certified.
Dell, Gigabyte, HPE, Inspur, Supermicro, etc.
The number of AI models used for data curation has increased 30,000-fold over the past five years, driving a surge in network traffic both in data centers and at the network edge. This is driving a growing need for GPU flexibility and high-performance computing, as well as a secure, stable, high-speed infrastructure for efficient infrastructure expansion.
On the 27th, NVIDIA unveiled the industry's first server product to pass its AI workload certification program, the 'NVIDIA Certified System.'
.jpg)
▲ Servers that passed the NVIDIA certification system [Photo = NVIDIA]
NVIDIA-Certified Systems are designed to accelerate AI and handle large-scale AI workloads with the latest NVIDIA GPUs running on NVIDIA Mellanox networks. This helps organizations derive insights from the vast amount of data that their existing systems miss.
Dell Technologies, GIGABYTE, Hewlett Packard Enterprise (HPE), Inspur, and Supermicro are shipping the following NVIDIA-certified systems featuring NVIDIA A100 Tensor Core GPUs.
The affected systems include: ▲Dell EMC PowerEdge R7525, R740 rack servers ▲Gigabyte R281-G30, R282-Z96, G242-Z11, G482-Z54, G492-Z51 systems ▲HPE Apollo 6500 Gen10, ProLiant DL380 Gen10 servers ▲Inspur NF5488A5 ▲Supermicro A+ servers AS-4124GS-TNR, AS-2124GQ-NART.
◇ Proven suitability for AI workloads through various tests
Certification requires passing tests across a variety of workloads, from tasks requiring multiple compute nodes to those requiring only a fraction of the performance of a single GPU. These tests validate deep learning training and inference, machine learning algorithms, intelligent video analytics, and network and storage offload.
NVIDIA-Certified Systems are optimized to run AI applications from the NGC catalog, NVIDIA's hub for GPU-optimized applications.
NGC is a software development kit that implements AI in vertical markets such as healthcare (Clara) and robotics (Isaac). We also have frameworks that support new use cases such as recommender systems (Merlin) and intelligent video analytics (Metropolis).
All NVIDIA-Certified Systems are certified using the NVIDIA Mellanox 8700 HDR 200G InfiniBand switch or the Mellanox SN3700 Ethernet switch, and are provided with enterprise support across the entire software stack, including open source code support.
Approximately 70 systems from 11 system manufacturers participated in the certification program, and to date, 14 servers from six companies have been NVIDIA certified.
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