This Wednesday, NVIDIA has announced that they have shipped their first commercial Volta-based DGX-1 system to the MGH & BWH Center for Clinical Data Science (CCDS), a Massachusetts-based research group focusing on AI and machine learning applications in healthcare. In a sense, this serves as a generational upgrade as CCDS was one of the first research institutions to receive a Pascal-based first generation DGX-1 last December. In addition, NVIDIA is shipping a DGX Station to CCDS later this month.

At CCDS, these AI supercomputers will continue to be used in training deep neural networks for the purpose of evaluating medical images and scans, using Massachusetts General Hospital’s collection of phenotypic, genetics, and imaging data. In turn, this can assist doctors and medical practitioners in making faster and more accurate diagnoses and treatment plans.

First announced at GTC 2017, the DGX-1V server is powered by 8 Tesla V100s and priced at $149,000. The original iteration of the DGX-1 was priced at $129,000 with a 2P 16-core Haswell-EP configuration, but has since been updated to the same 20-core Broadwell-EP CPUs found in the DGX-1V, allowing for easy P100 to V100 drop-in upgrades. As for the DGX Station, this was also unveiled at GTC 2017, and is essentially a full tower workstation 1P version of the DGX-1 with 4 Tesla V100s. This water cooled DGX Station is priced at $69,000.

Selected NVIDIA DGX Systems Specifications
  DGX-1
(Volta)
DGX-1
(Pascal)
DGX-1
(Pascal, Original)
DGX Station
GPU Configuration 8x Tesla V100 8x Tesla P100 4x Tesla V100
GPU FP16 Compute General Purpose 240 TFLOPS 170 TFLOPS 120 TFLOPS
 
Deep Learning 960 TFLOPS 480 TFLOPS
CPU Configuration 2x Intel Xeon E5-2698 v4
(20-core, Broadwell-EP)
2x Intel Xeon E5-2698 v3
(16 core, Haswell-EP)
1x Intel Xeon E5-2698 v4
(20-core, Broadwell-EP)
System Memory 512 GB DDR4-2133
(LRDIMM)
256 GB DDR4
(LRDIMM)
Total GPU Memory 128 GB HBM2
(8x 16GB)
64 GB HBM2
(4x 16GB)
Storage 4x 1.92 TB SSD RAID 0 OS: 1x 1.92 TB SSD

Data: 3x 1.92 TB SSD RAID 0
Networking Dual 10GbE
4 InfiniBand EDR
Dual 10Gb LAN
Max Power 3200W 1500W
Dimensions 866mm x 444mm x 131mm
(3U Rackmount)
518mm x 256mm x 639mm
(Tower)
Other Features Ubuntu Linux Host OS

DGX Software Stack (see Datasheet)
Ubuntu Desktop Linux OS

DGX Software Stack (see Datasheet)

3x DisplayPort
Price $149,000 Varies $129,000 $69,000

Taking a step back, this is a continuation of NVIDIA’s rollout of Volta-based professional/server products, with DGX Volta meeting its Q3 launch date, and OEM Volta targeted at Q4. In the past months, the first Tesla V100 GPU accelerators were given out to researchers at the 2017 Conference on Computer Vision and Pattern Recognition (CVPR) in July, while a PCIe version of the Tesla V100 was formally announced during ISC 2017 in June.

Source: NVIDIA

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  • Wardrive86 - Thursday, September 07, 2017 - link

    Almost a PFlop of FP16 for $150 k. Reply
  • Despoiler - Thursday, September 07, 2017 - link

    That's pretty pathetic. Full pre-built systems with AMD Instinct hardware will give you 3 PFlops for the same price. Reply
  • ddriver - Thursday, September 07, 2017 - link

    But it's AMD, so you won't get to claim superiority on grounds of brand premium.

    Evidently, all people care nowadays is 16 bit computing. Meh...

    4 drives in raid 0, talk about major data loss when one of those gives.
    Reply
  • Space Jam - Thursday, September 07, 2017 - link

    Those drives are more so a cache than for permanent storage in any proper system. Reply
  • Spunjji - Wednesday, September 13, 2017 - link

    I'd still want them in RAID 10 or 5 because the point of RAID isn't data backup, it's system resilience. Doesn't matter if you needed the data on them or not - if one goes down, so does your system until it's sorted. Reply
  • verl - Thursday, September 07, 2017 - link

    OTOH, most packages have CUDA support, but not OpenCL. Reply
  • johnnycanadian - Thursday, September 07, 2017 - link

    Correct. I'm having to bin a pair of FirePro W9Ks simply because Autodesk and Pix4D have gone all in with CUDA. Shame, the cards are still very competitive elsewhere, but Autodesk mesh manipulation is phenomenal and Pix4D is simply the gold standard for photogrammetry. Reply
  • etobler - Friday, September 08, 2017 - link

    "Autodesk mesh manipulation", curious what Autodesk app you're referring to. Please do let me know. Reply
  • Santoval - Friday, September 08, 2017 - link

    Presumably he means Robot Structural Analysis Professional, which is a structural engineering focused software (it is used by architects, nothing to do with robots), rather than a rendering focused one, like most of Autodesk's programs. Reply
  • etobler - Friday, September 08, 2017 - link

    Thank you, but as far as I know, Robot Structural Analysis Professional doesn't have mesh manipulation tools. Reply

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