NVIDIA DGX-2 was installed in spring 2019 with 2 PFlop/s in AI. It is equipped with 16 powerful data center accelerators – the NVIDIA Tesla V100 GPU. They are interconnected with revolutionary NVSwitch 2.0 technology that delivers a total bandwidth of 2.4 TB/s. The systems include 512 GB of HBM2 memory. The NVIDIA DGX-2 also offers 30 TB of internal capacity on fast NVMe SSD disks. Interconnection to the surrounding infrastructure is provided via eight 100 Gb/s Infiniband/Ethernet adapters.
One NVIDIA DGX-2 can replace 300 dual-socket servers with Intel Xeon Gold processors for deep neural network training (ResNet-50). NVIDIA DGX-2 is powered by the DGX software stack; NVIDIA-optimized and tuned AI software that runs the most popular machine learning and deep learning frameworks with maximized performance. NVIDIA DGX-2 can also be used for traditional HPC workloads to deliver a theoretical peak performance of 130 TFlop/s.
technical information of the nvidia dgx-2 system
| put into operation | spring 2019 |
|---|---|
| Theoretical peak performance | 130 TFlop/s |
| operating system | CentOS 64bit 7.x |
| compute nodes | 1 |
| CPU | 2x Intel Xeon Platinum, 24 cores, 48 cores in total |
| RAM per compute node | 1,5 TB DDR4, 512 GB HBM2 (16 x 32 GB) |
| accelerators | 16 x NVIDIA Tesla V100 32 GB HBM2 |
| storage | 30 TB NVMe |
| interconnect | 8 x Infiniband or 8 x 100 GbE |
Learn more at docs.it4i.cz.
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