Nor-Tech at the Leading Edge
NVIDIA Volta Deep Learning System
NVIDIA DGX-1 fast-tracks AI, data science, and other high performance computing-dependent initiatives with an easy-to-deploy solution—delivering insights in hours rather than months. DGX-1 allows Nor-Tech clients to simply plug in, power up, and start deep learning training in as little as a day. This is made possible by the integrated NVIDIA deep learning software stack and DGX-1 Cloud management services. The Volta GV100 GPU powers three systems designed by NVIDIA: the DGX-1V, HGX-1V, and the DGX Station. All three systems make use of multiple Tesla® V100 graphics cards and carry enormous power.
Part Number DGX-1 Volta:
3 Year Support: 718-22787-2510-003
Deep Learning System with 3 Year Support
16GB per GPU
960/ Dual 20-core Intel Xeon E5-2698 v4 2.2 GHz
NVIDIA CUDA Cores:
512 GB 2133 MHz DDR4 LRDIMM
4x 1.92 TB SSD RAID 0
Dual 10Gbe, 4 IB EDR
Ubuntu Server Linux OS
DGX-1 Recommended GPU Driver
866 D x 444 W x 131 H (mm)
1180 D x 730 W x 284 H (mm)
Max Power Requirements:
Operating Temperature Range:
Nor-Tech’s price competitive system will be available in the fall of 2017.
IBM and NVIDIA announced the results of their first collaboration with the release of the Power System S822LC for High-Performance Computing. One major international internet service provider reported that a cluster integrated with the new chip can run workloads three times faster when compared with the previous x86-based setup, while using only one-third the number of servers. The system contains two updated Power8 CPUs between eight and ten cores each, and four NVIDIA Tesla P100 GPUs. NVIDIA’s NVLink interconnect moves the data between those devices. IBM through its open source agreements with NVIDIA, integrated the NVLink into the POWER8. The NVLink offers vastly higher bandwidth for the NVIDIA GPU to communicate with the Power8 versus the PCIe 3.0 bus where data must travel in an Intel based CPU/GPU server.
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