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Bring the idea. We’ll find the machine.
Start from a container preset, then customize your hardware and runtime.
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vLLMLLM inference
Serve a model with vLLM’s OpenAI-compatible API.
PyTorchLLM fine-tuning
PyTorch environment for Transformers and PEFT.
PyTorchImage generation
CUDA-ready PyTorch environment for diffusion pipelines.
JupyterJupyter supercomputer
GPU notebook workspace for research and exploration.
BlenderBlender farm
Headless Blender. Supply your scene and render command.
DockerCustom container
Bring your own image, command and environment.
TensorFlowTensorFlow
GPU-enabled TensorFlow training environment.
JupyterQuant research
Scientific Python notebooks for analysis and backtesting.
Quantum simulation
CUDA Python environment for Qiskit Aer GPU experiments. Install the quantum SDK and transfer your circuit using the Quantum Lab guide.
Presets select an environment. Model downloads, training code, datasets and access tokens remain your responsibility. Review container images before deployment.