Environment Templates
These AI frameworks and tools can be pre-installed when your machine is provisioned — no manual setup needed.
Recommended
3 environmentsOur top picks for getting started — cover the most common use cases.
Run open-source LLMs locally with a ChatGPT-style web chat interface.
A lightweight GGUF inference engine with a built-in OpenAI-compatible API — quantized models run fine even on small GPUs.
A high-throughput LLM inference framework with an OpenAI-compatible API endpoint, built for production deployment.
Generative AI
1 environmentsA node-based Stable Diffusion workflow interface — modular and flexible.
Notebook
3 environmentsA lightweight CUDA + JupyterLab base image with no framework preinstalled — add PyTorch/TensorFlow yourself as needed.
A CUDA PyTorch dev environment with JupyterLab, torchvision, torchaudio and common packages.
A JupyterLab environment preloaded with an Unsloth fine-tuning example — great for learning and quick experiments.
OS Base
1 environmentsA clean Ubuntu 22.04 base image with Docker and GPU drivers, ready for you to build your own environment.
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