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Nvidia DGX-1 is a line of Nvidia produced servers and workstations which specialize in using GPGPU to accelerate deep learning applications. The servers feature 8 GPUs based on the Pascal or Volta daughter cards with HBM 2 memory, connected by an NVLink mesh network.
The product line is intended to bridge the gap between GPUs and AI accelerators in that the device has specific features specializing it for deep learning workloads. The initial Pascal based DGX-1 delivered 170 teraflops of half precision processing, while the Volta-based upgrade increased this to 960 teraflops.
The successor of the Nvidia DGX-1 is the Nvidia DGX-2. Featuring higher performance of up to 2 Petaflops and new technologies such as NVSwitch.
- "nvidia dgx-1" (PDF).
- "inside pascal".
Eight GPU hybrid cube mesh architecture with NVLink
- "deep learning supercomputer".
- "DGX-1 deep learning system" (PDF).
NVIDIA DGX-1 Delivers 75X Faster Training...Note: Caffe benchmark with AlexNet, training 1.28M images with 90 epochs
- "DGX Server". DGX Server. Nvidia. Retrieved 7 September 2017.
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