> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/local-ai/nvpair/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/local-ai/nvpair/_mcp/server. # Release Notes What changed in each release of PAIR. If you are updating from an earlier version, read the [Upgrade Guide](/local-ai/nvpair/upgrade-guide) as well: it covers the steps some machines need. Notes for releases before 1.0.0 are on [GitHub Releases](https://github.com/NVIDIA/Personal-AI-Router/releases). ## 1.0.0 This release brings llama.cpp and RTX Spark support to PAIR, and establishes its public development and contribution workflow on GitHub. ### What's New * **llama.cpp support.** Install and manage llama.cpp directly from PAIR, download compatible GGUF models from Hugging Face, and route inference requests across paired devices. Refer to [Managing Engines](/local-ai/nvpair/engine-lifecycle). * **Engine launch options.** Customize the launch arguments and environment variables of PAIR-managed engines, on this device or a paired one. Tune settings such as context size where the engine supports them. Refer to [Engine Settings](/local-ai/nvpair/engine-settings). * **RTX Spark support.** PAIR's Windows on ARM build has been validated with llama.cpp and CUDA on RTX Spark N1X hardware. * **Improved terminal experience.** The terminal interface has a redesigned layout organized around each device, so you can manage engines, download models, and pair devices from one place. A new **Jobs** tab follows inference work across paired devices and runs the Inference Demo, giving headless machines the same core tools as the desktop app. Refer to [Terminal Interface](/local-ai/nvpair/terminal-interface). ### Compatibility Notes * **Browser clients.** PAIR's local endpoints now follow each engine's CORS policy instead of allowing every browser origin. A browser-based client may need the engine configured to allow it — for Ollama, set `OLLAMA_ORIGINS` in the engine's launch options. * **The macOS app is now NVIDIA PAIR.** The new `NVIDIA PAIR.app` installs beside the old `PAIR.app`, so remove the old one to keep just one copy. Your settings, cluster membership, and downloaded models carry over. * **LM Studio installed by an earlier PAIR.** It keeps working as before. PAIR now removes only engines it has a record of installing, and earlier versions kept no record, so uninstalling or resetting PAIR leaves that LM Studio in place. You can remove it from `~/.lmstudio` yourself if you no longer want it. The [Upgrade Guide](/local-ai/nvpair/upgrade-guide) walks through each of these. ### Targeted Bug Fixes * Uninstalling LM Studio from PAIR, or uninstalling PAIR with its data, no longer deletes the models you downloaded. They stay in `~/.lmstudio/models`, just as Ollama's stay in `~/.ollama` and llama.cpp's in `~/.llamacpp`. ### Community Contributions * Added Anthropic Messages API routing through Ollama and LM Studio, so compatible clients such as Claude Code can use PAIR's model-aware routing and failover. Thanks [@Ratherrayees](https://github.com/Ratherrayees)! ([#27](https://github.com/NVIDIA/Personal-AI-Router/pull/27)) * Made engine monitoring more efficient by reusing HTTP connections for health checks. Thanks [@Psych0h3ad](https://github.com/Psych0h3ad)! ([#37](https://github.com/NVIDIA/Personal-AI-Router/pull/37)) * Fixed unnecessary cluster trust refreshes: notifications are now sent only after new peer endorsements are saved. Thanks [@RecursiveIntell](https://github.com/RecursiveIntell)! ([#62](https://github.com/NVIDIA/Personal-AI-Router/pull/62)) * Fixed workload synchronization between nodes: broadcasts preserve event order, and a failed broker notification stays eligible for retry. Thanks [@mkalkere](https://github.com/mkalkere)! ([#80](https://github.com/NVIDIA/Personal-AI-Router/pull/80)) * Fixed scheduler priority updates being marked as delivered after a failed notification, so they are retried and the status stays accurate. Thanks [@sylvesterkaczmarek](https://github.com/sylvesterkaczmarek)! ([#122](https://github.com/NVIDIA/Personal-AI-Router/pull/122)) * Isolated the service integration and proxy failover tests from local PAIR settings, so tests no longer read or overwrite a developer's configuration. Thanks [@somtri](https://github.com/somtri)! ([#95](https://github.com/NVIDIA/Personal-AI-Router/pull/95)) * Corrected the release-intent examples to use the required services version key. Thanks [@somtri](https://github.com/somtri)! ([#120](https://github.com/NVIDIA/Personal-AI-Router/pull/120)) * Updated the contributor instructions to branch from and rebase onto `develop`. Thanks [@somtri](https://github.com/somtri)! ([#126](https://github.com/NVIDIA/Personal-AI-Router/pull/126)) * Fixed node cards showing only the first GPU on multi-GPU systems; they now show every GPU. Thanks [@CryptoJones](https://github.com/CryptoJones)! ([#34](https://github.com/NVIDIA/Personal-AI-Router/pull/34)) ### Special Thanks Thank you to these community members for sharing ideas, submitting proposals and fixes, investigating issues, and testing PAIR: [@XxSilentStormIxX](https://github.com/XxSilentStormIxX), [@agenticocho](https://github.com/agenticocho), [@Mayimbe07](https://github.com/Mayimbe07), [@cruzanstx](https://github.com/cruzanstx), [@pettersandvand](https://github.com/pettersandvand), [@cguldogan](https://github.com/cguldogan), [@mkalkere](https://github.com/mkalkere), [@CryptoJones](https://github.com/CryptoJones), [@woodsonl](https://github.com/woodsonl), [@stevbev](https://github.com/stevbev), [@habakan](https://github.com/habakan), [@arcaven](https://github.com/arcaven), [@somtri](https://github.com/somtri), [@imluffy000](https://github.com/imluffy000), [@ndizazzo](https://github.com/ndizazzo), and [@fpvo](https://github.com/fpvo). We are grateful for every contribution, and for the warm welcome from the local AI community.