How to Write a Test Plan for AI Infrastructure
A practical guide to AI infrastructure testing, covering acceptance criteria, FAT, SAT, UAT, performance validation, and risk management for AI and HPC deployments.
Topic: AI
Case Study: Imperial College London
Established in 1907, Imperial College London is a research university focussing upon science, engineering, business, and medicine. Since Queen Victoria’s husband, Prince Albert, first set out his vision to enhance South Kensington culture, taking in the Royal Albert Hall, museums and a collection of colleges that would eventually form Imperial, the university has gained an enviable reputation globally for scientific learning, and research.
Scaling AI in 2026:
Compute, Power and Infrastructure Constraints Explained For much of the past two years, discussions around AI have been dominated by possibility. What models might achieve. What productivity gains could follow. What advantage might accrue to those who move first? More recently, the conversation has shifted. In meetings and programme reviews, the constraint I see most … Read more
HPC‑Enabled AI Is Changing Government
What Will the Next 5 Years Bring? Wildfires are one of the few public decision‑making contexts where delays have immediate and irreversible physical consequences. Historically, fire spread paths were predicted by (very clever) humans analysing different impact variables: fuel, weather, terrain, etc. The human-based strategy faced a high exposure to error, but was better than … Read more
Beyond Breakthroughs
Why AI’s Greatest Scientific Gift May Be “Filling in the Gaps” When people imagine artificial intelligence reshaping science, they often picture something dramatic: an AI discovering the cure for cancer outright, solving the question of dark matter, or unifying the laws of physics in a single stroke. These fantasies make for catchy headlines, but in … Read more
Maximising GPU performance with Kubernetes
A Practical Guide Artificial Intelligence (AI) and machine learning (ML) are no longer niche; they are driving innovation across all industries. Behind the scenes, GPUs handle the heavy processing that enables these workloads. However, GPUs are expensive, sometimes scarce, and not always easy to manage at scale. This is where Kubernetes comes in. Originally developed … Read more
Thinking About AI
What It Can Do, How It Does It, and Whether We Can Afford It? Lately, I’ve been spending a lot of time thinking about AI. Not just the “wow” moments when it does something uncanny, but the deeper questions: how it works, why it works the way it does, and what it’s going to cost … Read more
