GPU Instances
Instance for your Machine Learning, AI Algorithms, Data analysis etc. needs!
OS CentOS / Ubuntu
- Intel® Xeon® E5-2609v4 1.7 GHz GPU 2 pcs 1080Ti 3584 CUDA® cores NVIDIA® GTX1080 Ti)
- 32 GB RAM RAM
- 480 GB SSD SSD
- 10 Gbps Port Internal network
OS - CentOS/Ubuntu
- 2 pcs 2080Ti (Each GPU card has: 4352 CUDA® cores NVIDIA® RTX™ 2080 Ti) GPU
- Intel® Xeon® E5-2630V4 2.2 GHz CPU
- 64 GB RAM RAM
- 480 GB SSD SSD
- 10 Gbps Port Internal network
- 2 pcs P100 (Each GPU card has: 3584 CUDA® cores) GPU
- 2 x Intel® Xeon® E5-2609v4 1.7 GHz CPU
- 256 GB RAM RAM
- 960 GB SSD SSD
- 10 Gbps Port Internal network
OS CentOS /Ubuntu
-
4 pcs 1080Ti (Each GPU card has: 3584 CUDA® cores GeForce® GTX1080 Ti)
GPU -
2 x Intel® Xeon® E5-2609v4 1.7 GHz
CPU -
128 GB RAM
RAM -
480 GB SSD
SSD -
10 Gbps Port
Internal network
- 8 pcs 1080Ti (Each GPU card has: 3584 CUDA® cores NVIDIA® GTX1080 Ti) GPU
- 2x Intel® Xeon® E5-2630 v4 2.2 GHz CPU
- 128 GB RAM RAM
- 960 GB SSD SSD
-
10 Gbps Port
Internal network
OS -CentOS/Ubuntu
- 2 pcs V100 (Each GPU card has: 5120 CUDA® cores) GPU
- 2 x Intel® Xeon® Silver 4114 2.2 GHz CPU
- 128 GB RAM RAM
- 960 GB SSD SSD
- 10 Gbps Port Internal network
OS -CentOS/Ubuntu
- 1 x V100 Nvidia Tesla V100 GPU
- Intel® Xeon® - 6 CPU CPU
- 24 GB RAM RAM
- 225 GB NVMe SSD SSD
- CentOS 7 / Ubuntu - 16.04/18.04/20.04 OS
- 4 x V100 (5120 CUDA® cores/GPU) GPU
- 2 x Intel® Xeon® Gold 6138 Processor 3.70 GHz CPU
- 80 vCPUs
- 384 GB RAM RAM
- 3200 GB SSD SSD
-
10 Gbps Port
Internal network
- CentOS 7 / Ubuntu - 16.04/18.04/20.04 OS
- 8 pcs 2080Ti (4352 CUDA® cores per NVIDIA® RTX™ 2080 Ti) GPU
- 2x Intel® Xeon® Gold 5217 Processor 8C/16 3.0 GHz CPU
- 32 vCPUs
- 384 GB RAM RAM
- 2000 GB SSD NVME
-
10 Gbps Port
Internal network
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