Unlock the Power of Private AI!
Discover an extensive collection of curated tools and resources designed to help you build, deploy, and manage AI models privately—whether on-premises, air-gapped, or self-hosted. Embrace data sovereignty and mitigate exposure to third-party risks.
Key Insights:
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Inference Runtimes & Backends:
- vLLM: High-throughput engine for LLMs
- Jan: Offline AI assistant for secure local inference
- llama.cpp: Portable inference for CPU/GPU
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Model Management & Serving:
- Ray Serve: Scalable Python model serving
- BentoML: Model packaging framework
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Privacy Tools & Governance:
- BlindAI: Confidential AI inference
- OpenFL: Federated learning framework
Delve into our resources for private workflows, vector databases, and more. You’ll find everything from learning materials to frameworks that support agentic management of your AI stack.
Join the conversation! Explore our curated list and share your insights on building private AI! 💡 #AI #MachineLearning #DataPrivacy #TechInnovation