關於 AI 基礎設施、MLOps 與生產環境交付的指南、深度解析與文章。
Where is customer financial data processed, and what does each AI call cost? A comparison of AWS Bedrock, Microsoft Azure, UK and EU AI providers and your own GPUs for a typical UK finance workload, with costs at three volumes, a data-residency workflow and the break-even point for a dedicated GPU.
In December 2024 Bloomberg's The Circuit asked AMD CEO Lisa Su how she would chip away at Nvidia's lead in AI. We check the plan against AMD's 2026 results and Helios launch, and explain what a credible second AI platform means for UK buyers. Includes a link to the interview.

Enterprise AI agents in Banking, Education, HealthTech, FinTech and Tax Returns cannot be left to reason freely. The workloads are regulated, data-sensitive…
NVIDIA has open-sourced NVIDIA Kubernetes Engine (NVKE) and NVIDIA Kubernetes Recipes (NVKR) to run managed Kubernetes on GPU infrastructure. What they do in plain terms, what public preview really means, why AI engineering is creating new demand for cloud and DevOps skills, and who should evaluate them now.

The rapid evolution of artificial intelligence has created a distinct challenge for developers: bridging the gap between high-level model training and…

Agentic AI moves software engineering from prompt-response tools to autonomous agents that plan, execute, and coordinate work across the development lifecycle…

Generative AI is moving from research demos to production pipelines. For developers in Banking, Education, HealthTech, FinTech and Tax Returns, the practical…

What is Object Capability Bounded Authority? Object Capability Bounded Authority is a security model that isolates autonomous AI workloads and Model Context…
96 GB of GDDR7, FP4 Tensor Cores and RT Cores in a standard PCIe card: what NVIDIA's RTX PRO 6000 Blackwell Server Edition does, why it suits companies running private AI in rooms they already have, the three system sizes from a four-GPU 2U server to a 32-GPU rack like AMAX's RackScale 32, and what to check before ordering.