NVIDIA's new supercomputer will design next-gen GPUs

NVIDIA's DGX SATURNV supercomputer packs Tesla P100 GPUs, 7TB SSD cache, will build next-gen GPUs.

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NVIDIA just continues to smash the GPU and supercomputing game, with the announcement of their newest DGX SATURNV supercomputer that is designed from the ground up on building smarter cars and next generation GPUs.

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The new DGX SATURNV is ranked 28th on the Top500 list of supercomputers, but thanks to the use of the Tesla P100-powered DGX-1 units, it's the most efficient supercomputer in the world. Up until now, the most efficient machine on the Top500 list is at 6.67 GigaFlops/Watt, but the new NVIDIA DGX SATURNV is capable of a massive 9.46 GigaFlops/Watt, a huge 42% improvement.

Inside of the NVIDIA DGX-1 we have:

  • Up to 170 teraflops of half-precision (FP16) peak performance
  • Eight Tesla P100 GPU accelerators, 16GB memory per GPU
  • NVLink Hybrid Cube Mesh
  • 20 Core Broadwell-E "Xeon E5-2698 v4" CPU (2.2GHz)
  • 7TB SSD DL Cache
  • Dual 10GbE, Quad InfiniBand 100Gb networking
  • 3U - 3200W

NVIDIA's next-gen Tesla P100 is a powerhouse of performance and technology, including the Pascal architecture packing 3584 CUDA cores, 240 TMUs, and has its clocked hitting up to 1.48GHz.

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But, it's the use of 16GB of HBM2 that should impress, offering up to 720GB/sec of memory bandwidth. The DGX-1 is ready for anything to be thrown at it, offering up to 5.6 TFLOPs of FP64, 10.6 TFLOPs of FP32 and 21.2 TFLOPs of FP16 compute performance. The Tesla P100 uses up to 300W of power, with 17.7 GFLOPs/Watt at double precision compute.

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Anthony joined TweakTown in 2010 and has since reviewed 100s of tech products. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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