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Software templates 9 environments

Choose your tools, then find a GPU. From your first notebook to a multi-GPU training job.

Find GPUs

9 templates

Training & fine-tuning

PyTorch 2.5 · CUDA 12.4

Ubuntu 22.04, PyTorch 2.5, CUDA 12.4, cuDNN, JupyterLab, SSH.

Model trainingPyTorch
NVIDIA GPUs
Container & documentation spotgpus/pytorch:2.5-cu124
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Development

CUDA 12.4 base

Ubuntu 22.04, NVIDIA driver, CUDA 12.4 toolkit, Docker, SSH. Bring your own stack.

CUDA toolkitDevelopment
NVIDIA GPUs
Container & documentation spotgpus/cuda:12.4
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Inference

vLLM inference

vLLM with OpenAI-compatible server on port 8000, Hugging Face cache on the persistent disk.

LLM servingAPI
NVIDIA GPUs
Container & documentation spotgpus/vllm:latest
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Notebooks

JupyterLab

JupyterLab with PyTorch and common data-science packages, token shown in the console.

JupyterLabExperiments
NVIDIA GPUs
Container & documentation spotgpus/jupyter:latest
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Image generation

ComfyUI

ComfyUI with the manager, models folder on the persistent disk.

Image generationWorkflows
NVIDIA GPUs
Container & documentation spotgpus/comfyui:latest
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Inference

Ollama

Ollama server with the API on port 11434, models cached on the persistent disk.

Local modelsAPI
NVIDIA GPUs
Container & documentation spotgpus/ollama:latest
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Training & fine-tuning

TensorFlow 2.17

Ubuntu 22.04, TensorFlow 2.17 GPU, CUDA 12.3, JupyterLab, SSH.

Model trainingTensorFlow
NVIDIA GPUs
Container & documentation spotgpus/tensorflow:2.17
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Development

ROCm 6.2 (AMD)

Ubuntu 22.04, ROCm 6.2, PyTorch for ROCm, SSH. AMD Instinct instances only.

ROCm toolkitPyTorch
AMD GPUs
Container & documentation spotgpus/rocm:6.2
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Development

Ubuntu 22.04 (driver only)

Plain Ubuntu with the GPU driver and SSH. Nothing else.

LinuxCustom environment
General-purpose tools
Container & documentation spotgpus/ubuntu:22.04
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