datacenter
NVIDIA A100 40GB PCIe
Rate $1.29 / hr. Eligible wallets are not charged. Runtime is one hour.
Specs
VRAM
40GB HBM2e
CUDA cores
6912
Tensor cores
432
Memory bandwidth
1555 GB/s
FP32
19.5 TFLOPS
FP16
312 TFLOPS
Used for
Training, LLM fine-tuning, Batch inference
Images on this GPU
- PyTorchPyTorch with CUDA, cuDNN, and JupyterLab.pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.048888/http 22/tcp
- TensorFlowTensorFlow 2.x with CUDA and JupyterLab.tensorflow/tensorflow:latest-gpu-jupyter8888/http 22/tcp
- LLM InferenceText Generation WebUI.pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.047860/http 22/tcp
- CUDAUbuntu with CUDA toolkit. SSH only.nvidia/cuda:12.1.0-devel-ubuntu22.0422/tcp
Start
locked
Holders of 10,000 $GPU start against the treasury-funded cluster. Sessions are capped at 1 hour. Everyone else can read specs.
Runtime 1 hour (fixed)
GPU NVIDIA A100 40GB PCIe
Image pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
Ports 8888/http,22/tcp
Cost ~$1.29 covered if eligible
Connect a wallet on Robinhood Chain.