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cluster:184 [2019/11/18 15:08] hmeij07 [AWS deploys T4] |
cluster:184 [2020/01/03 13:22] (current) hmeij07 |
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==== 2019 GPU Expansion ==== | ==== 2019 GPU Expansion ==== | ||
+ | |||
+ | More focus... | ||
+ | |||
+ | * Vendor A: | ||
+ | * Option 1: 48 gpus, 12 nodes, 24U, each: two 4214 12-core cpus (silver), 96 gb ram, 1tb SSD, four NVIDIA RTX 2080 SUPER 8GB GPU, centos7 yes, cuda yes, 3 yr, 2x gbe nics, 17.2w 31.5d 3.46h" | ||
+ | | ||
+ | With the Deep Learning Ready docker containers...[[cluster: | ||
+ | |||
+ | The SUPER model quote above is what we selected\\ | ||
+ | --- // | ||
+ | |||
+ | |||
+ | Focus on RTX2080 model... | ||
+ | |||
+ | * Vendor A: | ||
+ | * Option 1: 48 gpus, 12 nodes, 24U, each: two 4116 12-core cpus (silver), 96 gb ram, 1tb SSD, four rtx2080 gpus (8gb), | ||
+ | * Option 2: 40 gpus, 10 nodes, 20U, each: two 4116 12-core cpus (silver), 96 gb ram, 1tb SSD, four rtx2080ti gpus (11gb), | ||
+ | * A1+A2 installed, configured and tested: NGC Docker containers Deep Learning Software Stack: NVIDIA DIGITS, TensorFlow, Caffe, NVIDIA CUDA, PyTorch, RapidsAI, Portainer ... NGC Catalog can be found at | ||
+ | https:// | ||
+ | | ||
+ | * Vendor B: | ||
+ | * Option 1: 36 gpus, 9 nodes, 18U, each: two 4214 12-core cpus (silver), 96 gb ram, 2x960gb SATA, four rtx2080tifsta gpus (11gb), | ||
+ | | ||
+ | * Vendor C: | ||
+ | * Option 1: 40 gpus, 10 nodes, 40U, each: two 4214 12-core cpus (silver), 96 gb ram, 240 gb SSD, four rtx2080ti gpus (11gb), | ||
+ | * Option 2: 48 gpus, 12 nodes, 48U, each: two 4214 12-core cpus (silver), 96 gb ram, 240 gb SSD, four rtx2080s gpus (8gb), | ||
+ | | ||
+ | * Vendor D: | ||
+ | * Option 1: 48 gpus, 12 nodes, 12U, each: two 4214 12-core cpus (silver), 64 gb ram, 2x480gb SATA, four rtx2080s gpus (8gb), | ||
Ok, we try this year. Here are some informational pages. | Ok, we try this year. Here are some informational pages. |