Tagged "air-gapped-deployment"
7 articles tagged air-gapped-deployment, 21 March 2026 to 18 July 2026. Newest first.
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NVIDIA's On-Device AI Gains Japan's Manufacturing Giants' Backing
Major Japanese manufacturers embrace NVIDIA's on-device AI solutions, signaling strong enterprise demand for local, privacy-preserving inference in industrial settings. A validation of the local-first deployment model.
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Show HN: NetSentinel – a local network security scanner and connectivity monitor
A new open-source tool provides local network monitoring and security scanning capabilities without cloud dependencies. Relevant to local LLM deployments running on private networks and edge infrastructure.
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Two-Tier Local AI Architecture Keeps Sensitive Data Offline
A practical deployment pattern combines local LLMs with a stratified approach, keeping sensitive information completely offline while using tiered inference for general tasks. This architecture balances capability with privacy and security requirements.
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Ansede-static: Offline SAST Tool Demonstrates Value of Local AI Tools
New open-source static analysis tool achieving 98.8% CVE recall while running entirely offline. Exemplifies how local AI models can replace cloud-based security analysis with privacy-preserving alternatives.
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NHS England Withdraws AI Software Over Security and Hacking Concerns
NHS England has pulled public-facing AI software due to vulnerability concerns and potential hacking risks. The incident underscores security and reliability requirements for deploying LLMs in healthcare and regulated environments.
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NHS to Close-Source GitHub Repos Over AI and Security Concerns
The UK National Health Service restricts public access to code repositories citing AI model training and security risks, signaling institutional concerns about open-source exposure in sensitive domains.
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MacinAI Local brings functional LLM inference to classic Macintosh hardware
A complete local AI inference platform enables TinyLlama 1.1B execution on vintage PowerBook G4 (2002) hardware running Mac OS 9 with zero internet connectivity, demonstrating extreme edge inference capabilities.