The ultimate local environment for fine-tuning and deploying heavy LLMs. Native performance meets developer-first UX.
Direct hardware access for maximum training efficiency.
Built natively for M1/M2/M3 chips with Metal acceleration for blazingly fast local training.
Full NVIDIA GPU orchestration for Windows and Linux. Leverage the full power of your hardware.
Train models without ever uploading your data to the cloud. Your data stays on your machine.
Intuitive interface for cleaning, labeling, and managing your training datasets.
Harness the power of Apple's open-source AI stack, optimized for Apple Silicon.
Apple ML Framework
Apple's NumPy-like array framework designed for efficient machine learning on Apple Silicon. Unified memory architecture means zero-copy operations.
View on GitHub2D-to-3D AI Model
Transform single photos into photorealistic 3D scenes in under a second. Uses 3D Gaussian Splatting for instant AR/VR content creation.
View on GitHubOn-Device LLM
Apple's efficient language models designed to run directly on-device. Privacy-first AI that never leaves your Mac.
View on Hugging FaceLangtrain Studio provides native support for training and deploying models using Apple's open-source AI frameworks.
Get Started with Apple AIOne-line integration with your existing Python workflows.
Efficiently fine-tune models with minimal memory footprint.
Watch your model improve in real-time with detailed metrics.
Support for Llama 3, Mistral, and all Hugging Face models.

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