hpc3000-cflgpu2ts · 2020. 10. 21. · deepstream sdk...
TRANSCRIPT
Deep Learning ( ) GPU
HPC3000-CFLGPU2TS NVIDIA® GPU 2 Deep Learning GPU GPU GeForce TITAN RTX / Quadro GV100
NVIDIA® GPU 2 9 ® Core™ 64GB 3.5 HDD/SSD 4 2.5 HDD/SSD 4 80PLUS PLATINUM
TITAN RTX Boost Clock1770MHz Tensor 576 CUDA 4608 24GB GDDR6
Quadro GV100 Boost Clock1450MHz Tensor 640 CUDA 5120 32GB HBM2
2
1
NVIDIA GPU 2 HPC3000-CFLGPU2TS NVIDIA GPU 2 GPU TITAN RTX 1 / Quadro GV100 2
9 Core HPC3000-CFLGPU2TS 9 Core CPU CPU CPU
Core i9-9900K 8 , 3.6GHz, 16MB SmartCache, 14nm, TDP 95W Core i7-9700K 8 , 3.6GHz, 12MB SmartCache, 14nm, TDP 95W Core i5-9500K 6 , 3.7GHz, 9MB SmartCache, 14nm, TDP 95W
64GB HPC3000-CFLGPU2TS DDR4-2666 4 16GB 64GB
3.5 HDD/SSD 4 2.5 HDD/SSD 4 HPC3000-CFLGPU2TS 3.5 HDD/SSD 4 2.5 HDD/SSD 4
80PLUS PLATINUM HPC3000-CFLGPU2TS 80PLUS PLATINUM 80PLUS 80PLUS PLATINUM 20 /50 /100 90 /92 /89
Caffe Caffe2Caffe NVIDIA Facebook ChainerPreferred Networks CNTKMicrosoft mxnet PyTorchTorch TensorFlowGoogle AI Torch
KerasTensorFlow,CNTK,Theano OpenCV theanoPython
Deep Learning SDK cuBLASCPU BLAS 6 17 GPU BLAS cuDNN cuSPARSE GPU DeepStream SDK GPU C++ API NCCL 8 GPU GPU All-gather,Reduce,Broadcast TensorRT
HPC3000-CFLGPU2TS
HPC3000-CFLGPU2TS
OS
[GPGPU ] CentOS 7 x86_64 ( OS) Red Hat Enterprise Linux 7 x86_64 Windows OS [Deep Learning ] Ubuntu 16.04 LTS ( OS)
Core i9-9900 (8core 3.1GHz 65W) Core i7-9700K (8core 3.6GHz 95W) Core i7-9700 (8core 3.0GHz 65W) Core i5-9600K (6core 3.7GHz 95W) Core i5-9600 (6core 3.1GHz 65W)
1CPU (8 ) ® Z390
64GB (16GB DDR4-2666 Non-ECC UDIMM × 4) 32GB (8GB DDR4-2666 Non-ECC UDIMM × 4)
4DIMM /DDR4-2666 Non-ECC UDIMM (8,16GB)
GPU Quadro GV100 (32GB) TITAN RTX (24GB)
GPU 2 TITAN RTX 1
1TB (3.5 , SATA HDD) × 2 3.5 SATA HDD/SSD 4 2.5 SATA HDD/SSD 4
USB3.0 × 4 ( × 2/ × 2) USB3.1 ( ) × 3 USB3.1 Type C ( ) × 1 PS/2 ( ) × 1 DisplayPort ( ) × 2 [onboard] HDMI ( ) × 1 [onboard] [GbE ] ( ) × 1
PCI-Express 3.0 (x16) × 2 [16/NA or 8/8], PCI-Express 3.0 (x4) × 1, PCI-Express 3.0 (x1) × 3
100V 1000W × 1 200V 1200W × 1 (80PLUS PLATINUM )
AC 100V AC 1 IEC320-C13 ⇒ NEMA 5-15P 200V
AC IEC 320-C14
610W ×× 424mm × 193mm × 525mm
100V AC × 1 USB ( ) × 1 USB × 1
1
HPC 108-0022 3-9-15 LOOP-X 8 TEL03-5446-5531 [email protected]
2020 8 13 NVIDIANVIDIA CUDATeslaQuadro NVIDIA Corporation
D:525mm
W:193mm
m
RearFront
TITAN RTX Quadro GV100 GPU TU102 (Turing) GV100 (Volta) 12nm 12nm NVIDIA Tensor 576 640 NVIDIA CUDA 4608 5120 1350MHz N/A
1770MHz 1450MHz
HPC3000-CFLGPU2TS NVIDIA® GPU 2 Deep Learning GPU GPU GeForce TITAN RTX / Quadro GV100
NVIDIA® GPU 2 9 ® Core™ 64GB 3.5 HDD/SSD 4 2.5 HDD/SSD 4 80PLUS PLATINUM
TITAN RTX Boost Clock1770MHz Tensor 576 CUDA 4608 24GB GDDR6
Quadro GV100 Boost Clock1450MHz Tensor 640 CUDA 5120 32GB HBM2
2
1
NVIDIA GPU 2 HPC3000-CFLGPU2TS NVIDIA GPU 2 GPU TITAN RTX 1 / Quadro GV100 2
9 Core HPC3000-CFLGPU2TS 9 Core CPU CPU CPU
Core i9-9900K 8 , 3.6GHz, 16MB SmartCache, 14nm, TDP 95W Core i7-9700K 8 , 3.6GHz, 12MB SmartCache, 14nm, TDP 95W Core i5-9500K 6 , 3.7GHz, 9MB SmartCache, 14nm, TDP 95W
64GB HPC3000-CFLGPU2TS DDR4-2666 4 16GB 64GB
3.5 HDD/SSD 4 2.5 HDD/SSD 4 HPC3000-CFLGPU2TS 3.5 HDD/SSD 4 2.5 HDD/SSD 4
80PLUS PLATINUM HPC3000-CFLGPU2TS 80PLUS PLATINUM 80PLUS 80PLUS PLATINUM 20 /50 /100 90 /92 /89
Caffe Caffe2Caffe NVIDIA Facebook ChainerPreferred Networks CNTKMicrosoft mxnet PyTorchTorch TensorFlowGoogle AI Torch
KerasTensorFlow,CNTK,Theano OpenCV theanoPython
Deep Learning SDK cuBLASCPU BLAS 6 17 GPU BLAS cuDNN cuSPARSE GPU DeepStream SDK GPU C++ API NCCL 8 GPU GPU All-gather,Reduce,Broadcast TensorRT
HPC3000-CFLGPU2TS
HPC3000-CFLGPU2TS
OS
[GPGPU ] CentOS 7 x86_64 ( OS) Red Hat Enterprise Linux 7 x86_64 Windows OS [Deep Learning ] Ubuntu 16.04 LTS ( OS)
Core i9-9900 (8core 3.1GHz 65W) Core i7-9700K (8core 3.6GHz 95W) Core i7-9700 (8core 3.0GHz 65W) Core i5-9600K (6core 3.7GHz 95W) Core i5-9600 (6core 3.1GHz 65W)
1CPU (8 ) ® Z390
64GB (16GB DDR4-2666 Non-ECC UDIMM × 4) 32GB (8GB DDR4-2666 Non-ECC UDIMM × 4)
4DIMM /DDR4-2666 Non-ECC UDIMM (8,16GB)
GPU Quadro GV100 (32GB) TITAN RTX (24GB)
GPU 2 TITAN RTX 1
1TB (3.5 , SATA HDD) × 2 3.5 SATA HDD/SSD 4 2.5 SATA HDD/SSD 4
USB3.0 × 4 ( × 2/ × 2) USB3.1 ( ) × 3 USB3.1 Type C ( ) × 1 PS/2 ( ) × 1 DisplayPort ( ) × 2 [onboard] HDMI ( ) × 1 [onboard] [GbE ] ( ) × 1
PCI-Express 3.0 (x16) × 2 [16/NA or 8/8], PCI-Express 3.0 (x4) × 1, PCI-Express 3.0 (x1) × 3
100V 1000W × 1 200V 1200W × 1 (80PLUS PLATINUM )
AC 100V AC 1 IEC320-C13 ⇒ NEMA 5-15P 200V
AC IEC 320-C14
610W ×× 424mm × 193mm × 525mm
100V AC × 1 USB ( ) × 1 USB × 1
1
HPC 108-0022 3-9-15 LOOP-X 8 TEL03-5446-5531 [email protected]
2020 8 13 NVIDIANVIDIA CUDATeslaQuadro NVIDIA Corporation
D:525mm
W:193mm
m
RearFront
TITAN RTX Quadro GV100 GPU TU102 (Turing) GV100 (Volta) 12nm 12nm NVIDIA Tensor 576 640 NVIDIA CUDA 4608 5120 1350MHz N/A
1770MHz 1450MHz