ABOUT
The TensorEX TWS-1686525-DPN is a Deep Learning NVIDIA GPU workstation supporting 2x Intel Xeon Scalable Family processors, a maximum of 768 GB DDR4 memory, and up to 4x NVIDIA Double-Wide GPUs.
GPUs have provided groundbreaking performance to accelerate deep learning research with thousands of computational cores and up to 100x application throughput when compared to CPUs alone. Exxact has developed the TensorEX TWS-1686525-DPN, featuring NVIDIA GPU technology, and a full pre-installed suite of the leading deep learning software, for developers to get a jump-start on deep learning research with the best tools that money can buy.
Features:
- Supports 2x Intel Xeon Scalable Family processors (Skylake-SP)
- 4x NVIDIA Tesla, Quadro, TITAN, or GeForce GPUs
- NVIDIA DIGITS software providing powerful design, training, and visualization of deep neural networks for image classification
- Pre-installed standard Ubuntu 16 Deep Learning software stack
- Google TensorFlow software libarary
- Automatic software update tool included
- Optional Deep Learning Studio Desktop Software
NVIDIA Tesla GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore | |
|---|---|---|---|---|---|---|---|---|---|
 | Tesla V100 32 GB | 32 GB HBM2 | 900 | 5120 | 640 | 14 | 7 | 250 | Specs |
| Tesla V100 16 GB | 16 GB HBM2 | 900 | 5120 | 640 | 14 | 7 | 250 | Specs |
 | Tesla P100 16 GB | 16 GB HBM2 | 732 | 3584 | - | 9.3 | 4.7 | 250 | Specs |
| Tesla P100 12 GB | 12 GB HBM2 | 549 | 3584 | - | 9.3 | 4.7 | 250 | Specs |
 | Tesla T4 | 16 GB GDDR6 | 320 | 2560 | 320 | 8.1 | 0.24 | 75 | Specs |
 | Tesla P4 | 8 GB GDDR5 | 192 | 2560 | - | 5.5 | 0.17 | 75 | Specs |
 | Tesla P40 | 24 GB GDDR5 | 346 | 3840 | - | 12 | 0.37 | 250 | Specs |
NVIDIA Quadro GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore | |
|---|---|---|---|---|---|---|---|---|---|
 | Quadro GV100 | 32 GB HBM2 | 870 | 5120 | 640 | 14.8 | 7.9 | 250 | Specs |
 | Quadro GP100 | 16 GB HBM2 | 717 | 3584 | - | 10.3 | 5.2 | 235 | Specs |
 | Quadro RTX 8000 | 48 GB GDDR6 | 672 | 4608 | 576 | 16.3 | 0.51 | 250 | Specs |
 | Quadro RTX 6000 | 24 GB GDDR6 | 624 | 4608 | 576 | 16.3 | 0.51 | 250 | Specs |
 | Quadro RTX 5000 | 16 GB GDDR6 | 870 | 3072 | 384 | 11.2 | 0.35 | 200 | Specs |
 | Quadro RTX 4000 | 8 GB GDDR6 | 416 | 2304 | 288 | 7.1 | 0.22 | 160 | Specs |
 | Quadro P6000 | 24 GB GDDR5X | 432 | 3840 | - | 12 | 0.39 | 250 | Specs |
 | Quadro P5000 | 16 GB GDDR5 | 288 | 2560 | - | 8.9 | 0.28 | 180 | Specs |
NVIDIA GeForce GPU Options
| Model | Standard Memory | Memory Bandwidth (GB/s) | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | Power (W) | Explore | |
|---|---|---|---|---|---|---|---|---|---|
 | GeForce RTX 2080 Ti | 11 GB GDDR6 | 616 | 4352 | 544 | 14.2 | 0.37 | 260 | Specs |
 | GeForce RTX 2080 | 8 GB GDDR6 | 448 | 2944 | 368 | 10.6 | 0.28 | 225 | Specs |
 | GeForce RTX 2070 | 8 GB GDDR6 | 448 | 2304 | 288 | 6.5 | 0.20 | 185 | Specs |
 | GeForce GTX 1080 Ti | 11 GB GDDR5X | 484 | 3584 | - | 10.6 | 0.33 | 250 | Specs |
 | GeForce GTX 1070 Ti | 8 GB GDDR5 | 320 | 2432 | - | 7.8 | 0.24 | 180 | Specs |
Deep Learning Software Stack
Ubuntu Deep Learning Software Stack
Docker Images from Exxact
Optional Software
See More