A new ML compiler to run 70B+ LLMs on consumer GPUs with <1% accuracy loss

Ora has launched Ora Core, a private AI software that compiles large language models up to 70 billion parameters to run on consumer GPUs with less than 1% accuracy loss, enabling local inference without data leaving the user's device. The system automatically detects hardware, selects a supported model profile, and prepares an optimized runtime for tasks such as document search, drafting, analysis, and coding assistance.

Ora Core Private AI for your personal computer. Explore CoreOra Frontier is private AI software for your hardware — capable local models that run on your own computer so your files, prompts, and workflows stay with you. Your selected files and local workflows do not need to leave your computer. Ora Core identifies what your machine can run and Ora Pulse prepares the right runtime. Use local AI for files, writing, code, research, and internal workflows. Ora Frontier runs capable models closer to your work, so your files, context, and compute stay within a boundary you control. opening workspace files...local building context...local loading 70B model profile...ready running inference...this device generating summary... Summary ready execution boundary:this device Private AI for your personal computer. Explore CoreDeploy and govern AI across controlled environments. Explore FleetControl local AI from the terminal. Explore CLIA shared execution layer adapts to personal hardware, managed fleets, and developer workflows. Prepared for the silicon and memory available. Context stays inside the boundary you control. One model system across supported environments. Ora Core detects your available hardware, selects a supported model profile, and prepares an optimized local runtime. Advanced controls are there when you want them, not when you are getting started. Frontier compiles model components into a hardware-aware runtime designed to reduce deployment friction without making the user manage the details. Search and work through documents locally. Private drafting, analysis, and research support. Use a local coding assistant with your projects. Continue when your network cannot.