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Enterprise AI, explained for builders and buyers. Page 18 of 40

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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356 Articles
43 Topics
12 Featured
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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Hands typing on a laptop beside a desktop monitor, both screens showing code in a dark editor theme, the kind of workstation where engineers decide which tools an AI agent may call
AI Security 11 min read

Prompt Injection Prevention for AI Agents: Techniques, Controls and a Cheat Sheet

No filter catches every prompt injection, so prevention for AI agents means limiting what injected text can make an agent do. This guide covers direct and indirect injection, the layered controls that hold up, the research behind them and a one-page cheat sheet.

#AI security#AI agents#AI governance
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Two graphics cards standing upright side by side against a black background, a fitting picture for a head-to-head comparison of the servers that run language models on GPUs
AI Infrastructure 12 min read

vLLM vs Ollama vs llama.cpp vs SGLang: Choosing an LLM Inference Server in 2026

vLLM and SGLang are built to serve many users from data-centre GPUs; Ollama, llama.cpp and LM Studio are built to run models on one machine. This comparison puts them side by side with NVIDIA's Triton, Dynamo and TensorRT-LLM on batching, multi-GPU support, quantization formats, hardware, API, licence and operating effort, and ends with a decision table.

#vLLM#Ollama#llama.cpp
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Over-the-shoulder view of a person typing on a laptop that shows purple audio waveforms in an editing program, with a desktop microphone in the foreground, like a recording about to be turned into a transcript
AI Infrastructure 12 min read

Whisper On-Premise: How to Self-Host Speech to Text Without a Cloud API

A practical guide to on-premise speech to text with OpenAI Whisper in 2026: model sizes and VRAM, faster-whisper, whisper.cpp and WhisperX, NVIDIA and Azure alternatives, hallucination and accuracy caveats, word error rate testing and an air-gapped setup.

#on-premises AI#air-gapped AI#open-weight models
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Four colleagues around a meeting-room table reviewing a spreadsheet on a wall screen, representing a compliance review of EU AI Act Article 50 transparency duties for enterprise AI assistants
AI Compliance 6 min read

EU AI Act Article 50: What Enterprise AI Assistants, Chatbots and Agents Must Disclose

Article 50 of the EU AI Act has applied since 2 August 2026, whatever a system's risk class. Who counts as the provider when an enterprise builds its own assistant, what people must be told and when, how synthetic content is marked and labelled, and what evidence to keep.

#EU AI Act#AI compliance#AI governance
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