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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 glass prism cube on a holographic grid splitting one white beam into bands of colour, a picture of a single image model turning a short request into a finished picture Latest
AI Infrastructure 16 min read

FLUX 3 Image Klein Locally: ComfyUI Setup, 8 GB VRAM, Files and Licence

FLUX 3 Image Klein is the 5.6-billion-parameter open-weight image model from Black Forest Labs, released on 15 October 2026 for text-to-image, editing and up to 10 reference images. This guide covers how it differs from the API-only FLUX 3 models, every file and size, the FLUX Kommunity License and its US$5M revenue line, ComfyUI setup step by step, VRAM from 8 GB cards to Macs, and local versus API pricing, checked on 13 November 2026.

#FLUX 3#image generation#ComfyUI
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Hundreds of glowing blue fibre-optic strands fanning out from one bundle against a dark background, a picture of a router sending each token to a few of Kimi K3.1 Pro's 896 experts
AI Infrastructure 14 min read

Kimi K3.1 Pro Locally: Hardware Requirements, VRAM, Files and Licence

Kimi K3.1 Pro is Moonshot AI's post-trained successor to Kimi K3: the same 2.8-trillion-parameter MoE, sparse attention in 24 layers and open weights since 4 November 2026. This guide covers the 1.56 TB checkpoint and every community build, the Kimi K3.1-Pro License, which GPU nodes can hold it, vLLM and SGLang recipes, Ollama's cloud-only tag and the API prices, all checked on 13 November 2026.

#Kimi K3.1 Pro#open-weight models#mixture of experts
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Green-lit copper traces running across a dark circuit board, a picture of the GPU hardware layer where NVIDIA NIM, vLLM and Ollama all do their work
AI Infrastructure 16 min read

NVIDIA NIM vs vLLM vs Ollama: What NIM Is, API Keys, Free Tier, Licence and Pricing

NVIDIA NIM packages open inference engines into supported containers with an OpenAI-compatible API. This guide explains what NIM for LLMs 2.1.5 actually ships, how build.nvidia.com API keys and free endpoints work, when a per-GPU NVIDIA AI Enterprise licence is needed and what NVIDIA lists it at, which open models are available as NIMs, and how NIM compares with vLLM and Ollama for on-premises teams, all checked on 13 November 2026.

#NVIDIA NIM#vLLM#Ollama
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Close-up render of a dark circuit board lit by glowing amber points and gold traces, standing in for the GPU hardware a future open-weight Qwen 4 model would need
AI Infrastructure 14 min read

Qwen 4: Release Date, Qwen4-Max Preview, Model Sizes and Running It Locally

Qwen 4 is still in training, and the only model you can call is a two-week Qwen4-Max preview on Alibaba's Token Plan. This guide separates what Alibaba has confirmed from what has only been reported, explains how the preview works and where its data goes, and estimates the hardware a 27B-class or Flash-class open Qwen 4 would need, all checked on 13 November 2026.

#Qwen#Qwen 4#Qwen4-Max
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Close-up of layered volcanic rock strata in Lanzarote, bands stacked one above another, a picture of how the Strata engine stacks a model's weights across GPU memory, system RAM and the SSD
AI Infrastructure 17 min read

Strata Local LLM: Hardware, Install, Coding Agents and Strata vs vLLM

Strata is a free, MIT-licensed local inference engine that runs Qwen3.8-Flash-Next, Qwen3.6-35B-A3B and DeepSeek V4.1-Flash on consumer hardware by splitting a mixture-of-experts model across GPU, RAM and SSD. This guide covers hardware by GPU and Mac, the desktop app and strata launch, connecting OpenCode, Claude Code and Codex, the thinking budget, what the server exposes, and how Strata compares with vLLM, llama.cpp, LM Studio and Unsloth Studio, checked on 13 November 2026.

#Strata#local LLM#Qwen3.8-Flash-Next
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Looking up through a glass roof held by a grid of steel beams and cross-bracing rods that meet at small connecting nodes, like the components of an agent system joined at defined interfaces
Architecture & Patterns 16 min read

Agentic AI Architecture: The Components of an Enterprise Agent System and an On-Premises Reference Design

What agentic AI architecture means inside an enterprise: the layers and components of an agent system, from channels and orchestration to the model gateway, tools, permission-aware knowledge, the governance plane and audit. It follows one request through the stack, compares what the AWS, Microsoft and Google reference architectures assume with an on-premises design, and maps open-source options and VDF AI to each component.

#AI architecture#agentic AI#enterprise AI agents
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An aisle of grey mobile archive shelving with hand wheels and numbered end panels in a state archive, like the records a compliance agent has to find and cite
AI Compliance 16 min read

Agentic AI for Compliance: Use Cases, the Controls Supervisors Expect and How to Run Compliance Agents On-Premises

How AI agents take on compliance work, from regulatory change mapping and control testing to KYC file checks and alert triage, with a human checkpoint and an evidence record for each use case. It sets out what the FCA, EBA, FINRA and the US banking agencies said between 2024 and 2026, how a compliance-check agent is built, and why confidential case files and privileged advice favour on-premises deployment.

#Agentic AI#Compliance Automation#AI Agents
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The crenellated medieval walls of Montagnana in Italy, square towers spaced along a long stone curtain wall under a blue sky, a picture of layered defences that never rely on a single gate
AI Security 15 min read

Agentic AI Security: The Threats That Target AI Agents and the Defences That Stop Them

Agentic AI security is the work of keeping AI agents that plan, call tools, remember and delegate from being turned against the organisation that runs them. This guide maps the OWASP Top 10 for Agentic Applications to concrete defences, compares the frameworks worth aligning with, and ends with a release checklist and what changes when agents run on-premises.

#AI security#enterprise AI agents#AI agent governance
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A dark wooden panel of brass-fitted pressure gauges and valves, each dial reading its own line, like the key risk indicators a team watches for its AI agents
AI Governance 15 min read

Agentic AI Risk Management: The Risks of AI Agents, the Controls That Reduce Them and a Framework to Run It

AI agents act, so their risk grows with autonomy, tool access and the number of systems they touch. This guide sets out a taxonomy of AI agent risks, the preventive, detective and corrective controls that reduce them, the frameworks worth anchoring to, from NIST and ISO to OWASP, UC Berkeley and Singapore's agentic framework, and an eight-step programme with risk indicators and an example register.

#AI risk management#AI agents#agentic AI
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An old, worn ledger lying open on green baize, its ruled pages filled with faded handwritten entries and a quill pen resting across them, an early form of the append-only record an agent audit trail keeps
AI Governance 14 min read

AI Agent Audit Trail: What to Log, How Long to Keep It and How to Prove Control to an Auditor

An AI agent audit trail is the evidence that an agent did what it was allowed to do and nothing more. This guide sets out what to record for each run, how to make the record tamper-evident and privacy-safe, what the EU AI Act, DORA, ISO/IEC 27001 and NIST say about logging and retention, and which questions auditors ask.

#AI audit trails#AI governance#EU AI Act
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