GPU instance is a virtual server, in which the Graphics Processing Unit (GPU) is additionally configured to the instance. It is broadly applied from scientific discovery to deep learning.
You may enable GPU by selecting 1 or 2 GPUs.
Ultimate Performance for Deep Learning
| Tesla V100 for NVLink | |
|---|---|
| GPU Architecture | NVIDIA Volta |
| NVIDIA Tensor Cores | 640 |
| NVIDIA CUDA Cores | 5120 |
| Double-Precision Performance | 7.8 TFLOPS |
| Single-Precision Performance | 15.7 TFLOPS |
| Tensor Performance | 125 TFLOPS |
| GPU Memory | 32GB |
| Memory Bandwidth | 900GB/sec |
| ECC | Yes |
| Interconnect Bandwidth | 300GB/sec |
| System Interface | NVIDIA NVLink |
| Form Factor | SXM2 |
| Max Power Comsumption | 300 WATTS |
| Thermal Solution | Passive |
| Compute APIs | CUDA, DirectCompute, OpenCL ™ ,OpenACC |