Tagged "on-premise-deployment"
13 articles tagged on-premise-deployment, 17 February 2026 to 10 July 2026. Newest first.
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CorvinOS – Self-Hosted OS for AI Agents with Compliance Built Into Runtime
CorvinOS introduces a specialized operating system designed for running AI agents locally with compliance and security features baked into the runtime layer. This addresses enterprise and regulated-environment demands for local, auditable AI agent deployment.
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Oracle APEX 26.1 Expands AI Choice with Out-of-the-Box Support for Major AI Providers
Oracle has released APEX 26.1 with expanded support for multiple AI providers, including options for on-premise and self-hosted model deployments. This enterprise-focused update enables practitioners to integrate local LLMs into Oracle database applications.
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Open-Source Local LLM Emerges as Viable Cloud AI Competitor
A recent analysis demonstrates that open-source local LLMs now offer competitive performance with cloud-based AI services in many use cases. The findings highlight the maturing landscape of on-device inference and cost advantages of self-hosted solutions.
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Berget AI Announces Berget Code for European Teams Powered by Kimi K2.6
Berget AI launches a code-focused AI tool specifically optimized for European development teams, leveraging the Kimi K2.6 model for local-friendly deployment.
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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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Singapore's Foreign Minister Builds an AI "Second Brain" Using NanoClaw
A high-profile case study demonstrates practical deployment of a local AI system for knowledge management and decision support in diplomatic operations. NanoClaw represents an emerging class of lightweight, self-hosted LLM solutions designed for enterprise use cases.
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Can IBM's RITS Platform and vLLM Reset the Bar for Enterprise AI Access?
IBM's RITS platform combined with vLLM is positioning local and on-premises LLM deployment as a viable enterprise alternative, with improved accessibility and control.
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Malicious GGUF Models Could Trigger Remote Code Execution on SGLang Servers
Security researchers have identified a critical vulnerability where specially crafted GGUF model files can achieve remote code execution on SGLang inference servers, posing significant risks to organizations running local LLM deployments.
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Docsie Launches On-Premise AI Platform for Regulated Industries
Docsie has introduced an on-premise AI knowledge orchestration platform designed specifically for regulated industries that cannot route sensitive data through cloud AI services. The solution enables organizations to run LLMs locally while maintaining compliance and data sovereignty.
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Qwen 3.5 397B Reduced to 35% Parameters With Usable Quality on 96GB GPU
A community researcher successfully compressed Qwen 3.5 397B to 35% of its original size while maintaining practical quality, enabling the model to run on dual GPU setups. The REAP35 variant demonstrates advanced parameter reduction techniques for enterprise-scale model deployment.
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Developer Builds Fully Local Multi-Agent System Using vLLM and Parallel Inference
A practical demonstration of running multiple AI agents entirely offline using vLLM for parallel inference orchestration. The setup coordinates 4 concurrent agents for collaborative coding without any cloud provider dependencies.
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SwarmHawk – Open-Source CLI for Vulnerability Scanning with AI Synthesis
SwarmHawk integrates Nuclei security scans with local AI models to automatically synthesize vulnerability reports into PDF documents. This tool demonstrates practical local LLM usage for security automation and infrastructure assessment.
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High Bandwidth Flash Memory Could Alleviate VRAM Constraints in Local LLM Inference
A technical discussion explores how high-bandwidth flash (HBF) storage could supplement GPU VRAM for local inference, potentially enabling 256GB+ effective memory pools from consumer hardware at 10x lower cost than traditional VRAM.