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Enterprise AI, explained for builders and buyers. Page 17 of 39

Practical writing on governed agent orchestration, on-premise AI, compliance, and the infrastructure decisions that separate pilot projects from production platforms.

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351 Articles
43 Topics
12 Featured
Rack-mounted equipment with rows of cable sockets, a lit button panel and a small screen glowing green in a dark equipment room, standing in for the in-house hardware a self-hosted Llama deployment runs on
AI Infrastructure 13 min read

Llama On-Premise: Licence, GPU Sizing and Serving for Llama 4 and Llama 3.3

Meta has not released a new Llama model since April 2025, yet Llama 4 Scout, Llama 4 Maverick and Llama 3.3 70B remain common choices for self-hosting. This guide covers the current lineup, the licence terms that bind an enterprise (including the EU carve-out for multimodal models), GPU sizing from the published configs, serving with vLLM, llama.cpp or Ollama, and when another open family is the better fit.

#Llama#open-weight models#local LLM
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An engineer at an office desk working on a laptop in front of a larger monitor full of code, the kind of screen where LLM traces, token counts and latency charts get read
AI Infrastructure 20 min read

Best LLM Observability Tools in 2026: 12 Monitoring Platforms Ranked and Compared

The best LLM observability and LLM monitoring tools in 2026, checked against their own docs, pricing pages and repositories: Langfuse, LangSmith, Arize Phoenix, Opik, Datadog, Grafana, Braintrust, MLflow, W&B Weave, OpenLLMetry, OpenLIT and Helicone, ranked by use case and compared on self-hosting, licence, pricing model, OpenTelemetry, evals, cost tracking and PII handling. Verified October 2026.

#AI observability#AI audit trails#AI evaluation
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Rack-mounted network appliances with status lights and patch cables in a dark equipment cabinet, standing in for the gateway that sits between AI agents and the tool servers they call
AI Infrastructure 14 min read

MCP Gateway Comparison 2026: Open-Source, AWS, Azure, Docker and Kong Options

How an MCP gateway differs from an MCP server and a registry, and ten gateways and portals for agent tool traffic checked against their own documentation for hosting, OAuth, tool allowlists, audit, rate limits and licence. Verified October 2026.

#MCP gateway#Model Context Protocol#MCP security
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Close-up of a network switch with fibre optic transceivers and cables plugged into its ports, standing for the way Copilot requests can be routed between data centre regions
Sovereign AI 10 min read

Microsoft Copilot Flex Routing: What It Means for the EU Data Boundary and How to Turn It Off

Flex routing lets Microsoft process EU and EFTA Copilot prompts outside the EU Data Boundary when demand peaks. What Microsoft's documentation says about the default, the admin setting that turns it off, and how it relates to the EU Data Boundary, Advanced Data Residency and Multi-Geo.

#Microsoft Copilot#data residency#data sovereignty
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A technician in a high-visibility vest checks a rack of network equipment with a handheld test device, representing the network and information systems that NIS2 requires essential and important entities to secure
AI Compliance 12 min read

NIS2 and AI: What the Directive Requires of AI Systems and AI Vendors, and NIS2 vs the AI Act

NIS2 has no article about AI, yet an AI assistant or agent run by an essential or important entity is part of its network and information systems, and the company supplying it is part of its supply chain. This guide maps Articles 20, 21 and 23 onto AI, compares NIS2 with the EU AI Act, gives the transposition picture as of October 2026 and ends with a checklist.

#AI compliance#AI security#EU AI Act
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A row of ventilated metal equipment enclosures with a blue cable running between them, a reminder that power delivery and heat removal shape an on-premise AI server deployment as much as the GPUs inside it
AI Infrastructure 11 min read

On-Premise AI Server: How to Choose, Size and Cost an LLM Server (2026)

A buyer's guide to the on-premise AI server: what it has to run, which GPUs and how much VRAM, how to size it by number of users, the power, cooling, networking and storage it needs, the software stack, and what the hardware costs.

#on-premises AI#AI infrastructure#local AI infrastructure
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Tall stacks of paper files and folders flagged with yellow sticky notes on a desk under office ceiling lights, the kind of backlog an on-premise document AI pipeline is built to read
AI Infrastructure 11 min read

On-Premise Document AI: Azure, Google, SAP, Mistral and Open-Source Options Compared

Which document AI services run on premise in October 2026, what each one requires, and how open models such as PaddleOCR, Docling, olmOCR and DeepSeek-OCR compare on licence, layout and tables, handwriting, languages and hardware, with a selection checklist for intelligent document processing.

#on-premises AI#document automation#open-source AI
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Two microphones on boom arms and two pairs of headphones on a wooden table in a glass-walled office room, standing in for the capture and playback ends of a voice AI system that stays inside the building
AI Infrastructure 11 min read

On-Premise Voice AI: Speech Recognition, LLMs and Text to Speech on Your Own Servers

How an on-premise voice AI stack fits together in 2026: the open speech recognition and text-to-speech models worth shortlisting, their licences, the latency budget for a spoken turn, hardware sizing and a deployment checklist.

#on-premises AI#local AI infrastructure#open-weight models
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Six colleagues working on laptops around a conference table in a high-rise office, the kind of group a shared, self-hosted chat interface has to serve with separate accounts and permissions
Implementation Guide 10 min read

Open WebUI vs LibreChat vs AnythingLLM: Self-Hosted Chat Interfaces Compared (2026)

Open WebUI, LibreChat and AnythingLLM all put a ChatGPT-style interface in front of models you host. This comparison covers what each licence allows, how each one signs people in and assigns roles, how it handles documents, agents and MCP tools, how it deploys and what it logs, plus a note on LM Studio and the point at which a company needs more than a chat interface.

#Open WebUI#LibreChat#AnythingLLM
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