Enterprise AI, explained for builders and buyers. Page 7 of 29
Practical writing on governed agent orchestration, on-premise AI, compliance, and the infrastructure decisions that separate pilot projects from production platforms.
Hosting an LLM on Kubernetes: GPU Nodes, Model Storage, Serving and Autoscaling
A vendor-neutral guide to hosting a large language model on Kubernetes: preparing GPU nodes with the NVIDIA GPU Operator, getting weights to the pods, choosing between vLLM's Helm chart, KServe, llm-d and the NIM Operator, scaling on queue depth, and running the whole stack without internet access.
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LiteLLM Alternatives in 2026: Open-Source, Self-Hosted and Enterprise LLM Gateways
For teams already running LiteLLM: what its own documentation says about enterprise licensing, operations, performance and the March 2026 PyPI incident, and how Portkey, Bifrost, agentgateway, Agent Router, Apache APISIX, Kong, OpenRouter and Cloudflare compare. Verified October 2026.
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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.
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LLM Observability Tools in 2026: Open-Source and Commercial Platforms Compared
LLM observability tools checked against their own docs and repositories: Langfuse, Arize Phoenix, OpenLLMetry and the OpenTelemetry GenAI conventions, MLflow, LangSmith, Datadog, Grafana, Helicone and W&B Weave, compared on self-hosting, licence, OpenTelemetry, evals, cost and PII handling. Verified October 2026.
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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.
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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.
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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.
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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.
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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.
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