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Qwen2.5 72B Instruct (AWQ) · vLLM (OpenAI-compatible API) · needs 56 GB VRAM across 2 GPUs — only 2× offers that fit are shown
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Pricing On-demandper minute, stop any time Off-peakmidnight–8 AM Pacific, 25% off Reserve 1 dayprepaid, 10% off Reserve 1 weekprepaid, 20% off Reserve 1 monthprepaid, 30% off Longer or bigger? Contact sales
Template
vLLM (OpenAI-compatible API)

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Select a template

Every template includes root SSH and JupyterLab. Want a ready-made model? Use the model library.

PyTorch
PyTorch 2.7 with CUDA 12.8, cuDNN 9, JupyterLab, Transformers and Accelerate. The default for training and research.
 NVIDIA CUDA Dev
Full CUDA 12.8 toolkit with nvcc, cuDNN headers, CMake and compilers — for building kernels and native GPU code.
 vLLM (OpenAI-compatible API)
High-throughput LLM serving. Loads any Hugging Face model and exposes an OpenAI-compatible API protected by your rental's API key.
 Ollama
Run quantised open models with one command. Pulls the models you choose at start-up and serves the Ollama API.
 Open WebUI (Ollama)
A ChatGPT-style web interface on top of Ollama — chat, documents/RAG, and model switching in the browser.
 ComfyUI
Node-based image and video generation. Comes with ComfyUI-Manager; model files for the chosen model are downloaded at start-up.
 Whisper API
Speech-to-text with Whisper (PyTorch) behind an OpenAI-compatible /v1/audio/transcriptions endpoint.
 Unsloth Fine-tuning
Fast, memory-efficient LoRA / QLoRA fine-tuning for Llama, Qwen, Gemma and more, driven from JupyterLab.