Axolotl 0.19 for LoRA, QLoRA and full fine-tuning from YAML configs.
Browse GPUs and AI apps
Deploy on a live GPU, or pick an app and we find the GPU. Prices include the 10% fee.
Deploy on a live GPU, or pick an app and we find the GPU. Prices include the 10% fee.
Axolotl 0.19 for LoRA, QLoRA and full fine-tuning from YAML configs.
Multilingual text embeddings for search and RAG on llama.cpp.
Blender 5.2.2 for headless Cycles rendering over SSH, with the build that fits the GPU: CUDA (NVIDIA), HIP (AMD) or oneAPI (Intel Arc).
ComfyUI v0.37.4, node-based image and video generation; bring your own models; the same template runs on NVIDIA (CUDA), AMD (ROCm) and Intel Arc (XPU) GPUs.
ComfyUI that downloads FLUX.1 [schnell] (fp8, Apache-2.0) at start.
ComfyUI that downloads SDXL base 1.0 at start; fits 8 GB cards.
ComfyUI that downloads Wan 2.2 TI2V-5B for text/image-to-video at start.
NVIDIA CUDA 12.4 + cuDNN development image with SSH.
NVIDIA CUDA 12.9 + cuDNN development image with SSH.
NVIDIA CUDA 13.0 + cuDNN development image with SSH.
NVIDIA CUDA 13.4 + cuDNN development image with SSH.
DeepSeek-R1-0528 reasoning distilled into Qwen3 8B, on llama.cpp.
Mistral's coding agent model, 4-bit GGUF on llama.cpp.
Google's Gemma 3 12B, 4-bit GGUF, on llama.cpp; fits 12 GB cards; runs on NVIDIA, AMD, Intel Arc and Apple silicon.
Google's on-device Gemma 3n, 8-bit GGUF on llama.cpp.
OpenAI's open-weight 120B reasoning model on vLLM; needs an 80 GB card.
OpenAI's open-weight 120B reasoning model on llama.cpp.
SciPy notebook with JAX 0.11.2 and its CUDA 12 wheels.
Jupyter Docker Stacks PyTorch notebook with a per-rental token; the same template runs on NVIDIA (CUDA) and AMD (ROCm) GPUs.
Jupyter Docker Stacks TensorFlow notebook with a per-rental token.
Kokoro-82M text-to-speech with an OpenAI-compatible /v1/audio/speech API.
Meta's Llama 3.1 8B Instruct, 4-bit GGUF on llama.cpp.
Meta's Llama 3.3 70B, AWQ 4-bit, on vLLM; needs an 80 GB card.
LLaMA-Factory's web UI and CLI for fine-tuning 100+ model families.
llama.cpp CLI tools, converters and quantizers for making your own GGUF files.
EleutherAI lm-evaluation-harness 0.4.13 with vLLM for fast benchmark runs.
Mistral's reasoning model, 4-bit GGUF on llama.cpp.
Mistral 7B Instruct v0.3, 4-bit GGUF on llama.cpp.
Mistral Nemo 12B Instruct, 4-bit GGUF on llama.cpp.
Mistral Small 3.2 (24B), 4-bit GGUF with a 16K context, on llama.cpp; fits 24 GB cards; runs on NVIDIA, AMD, Intel Arc and Apple silicon.
Text embeddings for search and RAG on llama.cpp.
Ollama daemon; pull models on demand and call its API through an SSH tunnel; the same template runs on NVIDIA (CUDA) and AMD (ROCm) GPUs.
Chat UI with a bundled Ollama: models, documents, tools and agents in the browser.
Microsoft's Phi-4 14B, 4-bit GGUF on llama.cpp.
Microsoft's Phi-4 mini, a small chat model on llama.cpp.
PyTorch 2.14 on CUDA 13.0 for Blackwell (RTX 50) and newer cards; the same template runs on NVIDIA (CUDA), AMD (ROCm) and Intel Arc (XPU) GPUs.
Qwen2.5 7B on Hugging Face Text Generation Inference.
Qwen2.5 Coder 14B for code completion and chat on llama.cpp.
The smallest Qwen3, for tests and light chat on llama.cpp.
Qwen3 Coder for editors and agents, 4-bit GGUF on llama.cpp.
Qwen3 text embeddings for search and RAG on llama.cpp.
cuDF, cuML and cuGraph in JupyterLab (RAPIDS 26.08).
SSH workspace with SGLang installed for serving and benchmarking.
Hugging Face's SmolLM3 3B, 4-bit GGUF on llama.cpp.
faster-whisper speech-to-text (and Kokoro/Piper text-to-speech) behind an OpenAI-compatible API.
Forge (A1111-style UI with faster memory management).
PyTorch-native fine-tuning recipes (torchtune 0.6.1) on PyTorch 2.7.
Unsloth's fast LoRA/QLoRA fine-tuning in JupyterLab.
SSH workspace with vLLM installed: serve any model you choose with `vllm serve`.
code-server 4.138 on PyTorch 2.8 / CUDA 12.8 devel, with a per-rental password.
WhisperX 3.8.6: fast transcription with word timestamps and diarization.