Tagged "on-premises-deployment"
11 articles tagged on-premises-deployment, 19 February 2026 to 12 August 2026. Newest first.
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vLLM v0.27.0 Released with 561 Commits and Expanded Model Support
vLLM v0.27.0 brings significant improvements including Kimi K3 model support with full-stack integration, new kernel optimizations, and contributions from 242 developers. This major release advances the inference serving infrastructure for local and on-premises deployments.
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NVIDIA Magpie TTS – Open-Weights Multilingual Voice Agents with Full Deployment Control
NVIDIA releases Magpie TTS with open weights for building low-latency multilingual voice agents that can be deployed entirely on-premises. The solution provides full control over model deployment without reliance on cloud infrastructure.
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Triton Control: Open-Source Control Plane for Nvidia Triton on Kubernetes
A new open-source project providing a control plane for managing Nvidia Triton Inference Server deployments on Kubernetes, streamlining multi-model serving infrastructure.
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Can a 2.8T Model Run on a Single Node of Nvidia B300 X8?
A practical deployment analysis examining whether ultra-large trillion-parameter models can be efficiently served on a single high-end GPU node, providing real-world benchmarks for modern hardware.
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How to Set Up an On-Premises Project Management Platform
Practical guide for deploying self-hosted infrastructure without cloud dependencies, relevant for teams building integrated local AI systems alongside other enterprise tools.
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Nvidia Showcases Nemotron Models for Japanese AI Development
Nvidia highlights its Nemotron model family's application in Japanese AI development, emphasizing locally-deployable language models optimized for specific regions and use cases.
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AMD claims 256-core Zen 6 'Venice' CPU beats Nvidia Vera by 3.3x
AMD's new Zen 6 Venice CPU architecture delivers significant performance improvements for data center and edge inference workloads. Hardware advancement relevant to deploying and scaling local LLM inference.
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Council: A Structured Deliberation Protocol Across Diverse AI Models
A new framework enables structured communication and deliberation between multiple AI models running locally, improving decision-making quality through multi-model consensus.
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RAG-Enterprise – 100% Local RAG System for Enterprise Documents
A new open-source RAG system designed for enterprise document processing that runs entirely locally, enabling organizations to implement retrieval-augmented generation without cloud dependencies or data exposure.
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Huawei's SuperPoD Portfolio Creates New Option for Global Computing at MWC Barcelona 2026
Huawei announces infrastructure solutions for distributed, on-premises computing, offering an alternative to cloud-dependent AI deployment models for enterprise self-hosted inference.
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Self-Hosted Local LLMs for Document Management with Paperless-ngx
Community members demonstrate practical workflows integrating local LLMs with Paperless-ngx for intelligent document processing and management entirely on-premises.