datacenter
NVIDIA H100 80GB SXM
Rate $2.99 / hr. Eligible wallets are not charged. Runtime is one hour.
Specs
VRAM
80GB HBM3
CUDA cores
14592
Tensor cores
456
Memory bandwidth
3350 GB/s
FP32
51 TFLOPS
FP16
1979 TFLOPS
Used for
LLM training, High-throughput 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 H100 80GB SXM
Image pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04
Ports 8888/http,22/tcp
Cost ~$2.99 covered if eligible
Connect a wallet on Robinhood Chain.