QVAC SDK 0.11.0 is live. 🛠️ This release focuses entirely on unlocking next-generation local compute and advanced visual workflows. What’s new: Next-Gen Models: Core engine updated to the latest version of Fabric, unlocking full support for Qwen 3.5, Qwen 3.6, and Gemma 4. Multi-GPU Support: The SDK can now split workloads across multiple graphics cards on the same machine, allowing you to run significantly larger models completely locally. Multi-Image Conditioning: Blend multiple reference images together in a single generation for advanced style mixing and composition control. On-Device Upscaling: Boost your generated images to high-quality resolutions, running securely on your own hardware. More improvements are waiting under the hood. Check the change logs, update your SDK today, and start building with

QVAC Workbench 0.7 is here. We’re making local-first intelligence faster and more intuitive. This update removes friction between your hardware and your workflow, making sovereignty feel much more seamless. Desktop - GPU Embeddings: Faster document processing by leveraging local GPU power - Smart Search: Higher quality results with transparent source links. - Efficiency: New keyboard shortcuts and bulk thread deletion. Mobile - iOS Persistence: Improved background handling so the app stays active when minimized. - Edge Compute: GPU-accelerated embeddings brought to mobile. The foundation of stable intelligence is moving forward. Run it on your own hardware and own your future. Download 0.7 today.

QVAC SDK 0.10.0 is now live, bringing advanced local compute capabilities and specialized hardware optimization directly to your device Key Features and Updates: - Image-to-Image Diffusion: Transform and edit images using simple prompts with 100% local compute—no cloud uploads or external servers required - Dynamic Tooling & KV Cache Management:Your local LLM now receives a tailored toolbox for every interaction, with automatic KV cache clearing to maintain high-speed inference - Doctor CLI: A new diagnostic tool that analyzes your hardware and memory, providing specific instructions on how to optimize your GPU for local AI - Suspend & Resume API: Specifically designed for mobile environments, this allows apps to pause P2P swarms and RAG workspaces to meet background rules without losing model state - GPT-OSS Compatibility: Added support for the latest GPT-OSS models loaded externally, expanding the range of open-source intelligence available on the platform Build the future of private, unstoppable AI:

QVAC Workbench 0.6.0 is officially live. 🤖 This update marks a major shift toward a more natural, hands-free interface with several key features: Conversation Mode: Enables full voice-to-voice interaction using automated transcription and text-to-speech (TTS), allowing the keyboard to be entirely optional. Automated Model Selection: Streamlines the user experience by intelligently selecting the best local model for your device. Snappier UI: Significant performance improvements to the interface for a faster and more responsive workspace. Learn more:

The QVAC SDK is the "LEGO block" of the next era of computing. It’s a modular, local-first framework designed to turn anything—from a simple robot to an industrial server—into a sovereign, autonomous mind. Why build with QVAC? Atomic Intelligence: AI as a raw material embedded directly into your hardware. No Cloud Dependency: 0 latency and total privacy. If the internet breaks, your world keeps thinking. Infinite Scale: A single API for local AI that runs on any device, anywhere. From a child’s toy to the fabric of the universe, if you can dream it, you can build it. Start building the future: 🚀

Superior methodology beats raw parameter count. 🧠 Introducing QVAC MedPsy: Local-first medical AI that redefines the possible. 1/ Unprecedented Power: MedPsy 1.7B model outperforms Google’s MedGemma 4B by 11 points and our 4B model beats MedGemma 27B on real-world health benchmarks. 2/ Extreme Efficiency: 3.2x fewer tokens means near-instant inference on your phone or wearable. 3/ Absolute Privacy: Expert-level reasoning running 100% locally. No data leaves your device. We aren’t simply shrinking models; we’re anchoring intelligence where it matters most. High-level medical logic is now a sovereign right. The future of healthcare is local. Learn more:

Your laptop's AI forgets long conversations because it runs out of working memory, not intelligence. QVAC team shipped an open-source fix: TurboQuant, a 5x memory compression algorithm for local AI, available in QVAC SDK. Read how it works:

"Chat with your documents" usually means uploading them to someone else's cloud. The QVAC SDK does the whole thing on-device. It ships native RAG: ragIngest your files, embed turns them into vectors locally, ragSearch finds the relevant passages, and completion answers from text the model can actually see. No external vector database. What you can build with it: a knowledge base over years of your notes, contract and research Q&A, a support bot grounded only in your manuals, a private second brain that cites its sources. Your private documents never leave the machine. No cloud vector store, no API key, no leak surface. npm install @qvac/sdk