Decompute AI

BlackBird is now on Windows! Spin up powerful AI agents in just a click. Train models locally, privately, and offline, right from your laptop. Download now: decompute.run/releases The full power of AI is now in your hands.

Only top 1% people in AI would know what’s happening here. Comment if you know. #AI #SLMs #Model #LLM #ArtificialInteligence

Read our blog here to learn more about the release: shorturl.at/5XOMc

Small models don’t just need more training. They need better reasoning architecture. We introduce novel model architecture: Nebula-S-SVMS1-4B: HMMT: 66.7% GSM8K: 90% MMLU-Pro: 79.7% GPQA: 70.5% Reasoning-native, on-device AI is coming. #OnDeviceAI #Reasoning #EdgeAI #SLM

Looking for optimizing your AI cost? Check out BlackBird Enterprise that combines the power of edge with cloud compute, creating a powerful heterogeneous cluster, with privacy enforced! We guarantee a cost reduction by 40%. Proven with Fortune 500 customers.

Introducing BlackBird Enterprise — a structurally private AI platform that runs where your data already lives: on-device, on-prem, or in your cloud. Built for orgs that refuse to compromise on: • Data residency, compliance & guardrails • Structural privacy by design • On-device/on-prem RAG, document AI, copilots • Distributed inference & training (DGX, multi-tenant) • Works with files, folders, KBs, Excel, SharePoint, GDrive, Confluence, Notion • Voice → transcription, summaries, Q&A • Powered by our Nebula-S models beating Qwen & DeepSeek on MMLU/ARC/GSM8K If you’re navigating AI + privacy + cost, this is for you 👇 lnkd.in/gpQViNkn #AI #EnterpriseAI #PrivacyByDesign #OnDeviceAI #GenAI

Lets take the game on the edge to the next level. 😎

@Thom_Wolf ❤️

first test in plugging the $100 Amazing Hands on a (cute) humanoid instead of grippers - pretty happy about it

@rohanpaul_ai Couldn’t agree more. We @DecomputeAI saw this opportunity last year, and have made immense progress including launch of Kestrel SLMs which self-improve at the edge.

🔥 New Release on high demand: Now train Open AI’s GPT-OSS 20B for personalized agents locally on Mac with BlackBird on demand: ⚡ On-device training 🔒 Full privacy 🛠️ No cloud, no compromise decompute.run/releases (We received several messages from everyone requesting this release, and it seems MLX was completely broken and did not support fine-tuning, so we fixed it ourselves.) #BlackBird #Decompute #OpenAI #oss

1/ Kestrel VLM 1.5B — 841/1000 on OCR, 63.5% on Real-World QA and 89% on DocVQA eval!! One compact model, three hard tasks. #VLM #OCR #DocVQA #Multimodal #SLM

🚀 Exciting news! We’ve just shipped a new update for the BlackBird SDK, packed with powerful features driven by your feedback. Now, building on-device AI agents is easier and more seamless than ever — all with just a few lines of code. Here’s what’s new: ✨ Support for Retrieval-Augmented Generation (RAG) and fine-tuning on-device across multiple files and folders ✨ Continuous or nightly fine-tuning updates on specified folders for smooth, up-to-date training ✨ Multi-model support — run and combine multiple AI models effortlessly Plus, we’ve fixed some bugs: 🔧 Fine-tuning invocation issues resolved 🎙️ Voice agents and live recording support improvements Try out the limited version on GitHub and start building private, high-performance AI agents on-device today: github.com/Decompute-AI/B… Download our professional version here for Windows and macOS here: decompute.run/releases-sdk Thank you for your feedback and continued support — we’re just getting started! #OnDeviceAI #BlackBirdSDK #AIagents #EdgeComputing #PrivacyFirst

We recently shipped Kestrel VLM - a self-improving, optimized Vision-Language model for macOS, Windows, Android and iOS, available in three sizes (650M, 1B and 1.5B). Achieves ~817/1000 for OCRB, rivaling 32B-param giants, yet runs entirely on-device. Perfect for document understanding, screenshot parsing & vision-driven agents, and it keeps getting smarter after deployment with a memory footprint of under 5GB. Very proud of the team for the breakthrough performance! 👏🏻👏🏻👏🏻

🚀 Introducing Kestrel VLM: our vision-language model that self-improves after deployment and leaps 30 % past DeepMinds' SigLIP-2, unlocking a new “fusion-space” frontier for enterprise vision AI. Kestrel can learn from just 5-10 examples, unlocking reinforcement learning at the edge for vision models—no cloud retraining needed. Adapt on the fly for real-world understanding, OCR, charts, and more. Drive accuracy higher, boost privacy, and personalize models directly on your device. Ready for chat-grade speed and next-level autonomy? Try Kestrel VLM now. decompute.run/post/introduci… #VisionAI #GenAI #KestrelVLM #AIatTheEdge

🚨 Calling all builders in SF! $50K up for grabs! 🚨 We’re thrilled to sponsor the A2A Agents Hackathon in SF! 💥 Build on-device AI agents with the Blackbird SDK 🧠 Multimodal, fast, secure, insanely powerful 🏆 Judged by Decompute’s own @hinadixit 🎯 Sign up: lu.ma/aoc5opn4 #AIAgents #Hackathon #OnDeviceAI #Decompute #BlackbirdSDK

📢 Exciting news! The BlackBird-SDK is now open source! 🎉 - Local AI inference | - Real-time streaming | - Secure file processing 👉 Contribute: github.com/Decompute-AI/B… #OpenSource #AI #MachineLearning

Finally: AI that doesn't spy on your users. Build it with BlackBird 👇 **BlackBird SDK Launched!** Build private, on-device AI agents in minutes. No cloud, no compromises. **Why it’s game-changing:** 🔒 **100% Private**: Data never leaves the device ⚡️ **<100ms latency**: Zero API hops 🛠️ **Any open model**: No vendor lock-in **For developers:** - Electron/React Native-ready - Fine-tune locally (no cloud GPUs) - Audio/vision/function-calling in one API 🚀 **Perfect for**: Finance | Healthcare | Legal | Offline apps 🔗 Docs: lnkd.in/gTv8SyUT 🧑‍💻 Contribute: lnkd.in/geTrM5Gv #OnDeviceAI #PrivacyFirst #EdgeComputing

My way of motivating the team to find Decompute BlackBird SDK bugs. 🥳🤣🍕#DecomputeRocks 🤘🏻

@Thom_Wolf Love it!! 😍 Can we contribute too!l and get an early access!!

sorry Jony