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View all →HBM Explained: Why AI GPUs Run Out of Memory Before They Run Out of Compute
High-bandwidth memory decides how big a model fits on a GPU and how fast it answers. How HBM works, how to read GPU memory specs, and a simple method to size weights and KV cache.
Drax Plans £20bn AI Data Centre at Its Yorkshire Power Station, First 100MW by 2028
Drax, Brookfield and Radiant plan an AI data centre at Drax Power Station in North Yorkshire that could cost more than £20 billion, starting with up to 100MW from early 2028 and aiming for over 1GW.
OpenAI Launches Grid Protectors Program, Pledging to Cut Data Center Power at Peaks
OpenAI's new Grid Protectors Program commits future US compute campuses to cut electricity use when grids are strained, starting with up to 1,000 MW in Georgia.
National Grid Buys Teesside Land for UK's Largest Substation to Power a Planned AI Data Centre
National Grid has agreed to buy 73.3 acres at Teesworks for Teesside Node A, a 400kV substation that would supply 1.44GW to a planned AI data centre site from the end of 2029, with talk of growing to 3.2GW.
Envision Puts 800V DC Power Into Live AI Workloads at Its Ulanqab Campus
Envision says an integrated 800V DC system with solid-state transformers and battery storage now runs live AI workloads at its 3 GW-planned Galaxy campus. Here is how it works, why Nvidia's 2027 roadmap matters, and what is still undisclosed.
Where Is Your AI Prompt Processed? Data Residency on Bedrock, Vertex AI and Azure
Global inference is cheaper and more reliable, but it can process prompts in any region. How Amazon Bedrock, Google Cloud and Microsoft Foundry route requests, and how to keep data in the US or EU.
TTFT, TPOT and Tokens per Second: How to Read LLM Inference Benchmarks
LLM speed claims rest on different metrics that can move in opposite directions; MLPerf's interactive target for Llama 2 70B, for example, is a 450 ms time to first token and 40 ms per output token. This guide explains each metric and how to compare vendors fairly.
How Much Electricity Do AI Data Centres Use? The Official Numbers Explained
Data centres used about 415 TWh in 2024, around 1.5% of global electricity, and the IEA expects that to more than double by 2030. Here is where the power goes, why AI changes the picture and how to read the next big projection.
What NPU TOPS Ratings Really Mean: How to Judge an AI PC Beyond the 40 TOPS Line
AI PC spec sheets lead with TOPS, but peak INT8 figures and platform totals can mislead. This guide explains NPUs, the 40 TOPS Copilot+ line, how apps reach the NPU and how to check it is actually being used.
GitHub Adds 4 Million CPU Cores After Outages, Starts Running Actions Jobs on AWS
GitHub has added 4 million CPU cores, 160 PB of storage and 50 Tb/s of network capacity in 2026 after AI-agent traffic caused outages, and eligible Actions Linux jobs can now run on AWS as well as Azure.
How to Plan for a Cloud Region Outage: Lessons From the AWS us-east-1 and Google Cloud Failures
AWS's October 2025 us-east-1 outage and Google Cloud's June 2025 global failure were both caused by automation, not disasters. Here is what broke, what the providers changed, and how to pick and test a recovery strategy using RTO and RPO targets.
Google TPUs Are Coming to Oracle Cloud: What the 2027 Deal Means for AI Compute
Oracle Cloud Infrastructure will be the first major cloud outside Google to offer Google's TPU 8t and 8i chips, with capacity starting in 2027. Here's what the deal includes, how it fits Oracle's multi-chip strategy and what it means for AI buyers.
OpenAI Models Arrive on Google Cloud: What Enterprise Teams Need to Know
OpenAI's GPT-6 models and Codex workflows are entering Google Cloud's Model Garden in private preview. Here is what changes for procurement, governance and model routing.
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