Nvidia DGX is a line of NVIDIA-produced servers and workstations which specialize in using GPGPU to accelerate deep learning applications.
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Nvidia DGX is a line of NVIDIA-produced servers and workstations which specialize in using GPGPU to accelerate deep learning applications.
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The typical design of a Nvidia DGX system is based upon a rackmount chassis with motherboard that carries high performance x86 server CPUs .
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The initial Pascal based Nvidia DGX-1 delivered 170 teraflops of half precision processing, while the Volta-based upgrade increased this to 960 teraflops.
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Nvidia DGX-1 was first available only with the Pascal based configuration, with the first generation SXM socket.
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The later revision of the Nvidia DGX-1 offered support for first generation Volta cards via the SXM-2 socket.
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Successor of the Nvidia DGX-1 is the Nvidia DGX-2, which uses sixteen Volta-based V100 32GB cards in a single unit.
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The Nvidia DGX-2 delivers 2 Petaflops with 512GB of shared memory for tackling massive datasets and uses NVSwitch for high-bandwidth internal communication.
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Nvidia DGX-2 has a total of 512GB of HBM2 memory, a total of 1.
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The Nvidia DGX A100 was the 3rd generation of Nvidia DGX server, including 8 Ampere-based A100 accelerators.
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The Nvidia DGX A100 is in a much smaller enclosure than its predecessor, the Nvidia DGX-2, taking up only 6 Rack units.
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Nvidia DGX H100 has two currently unspecified 4th generation Xeon Scalable CPUs and 2 Terabytes of System Memory.
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