What Is a Vector Database? Embeddings & Search
To answer what is a vector database, one must look past marketing hype to the underlying data structures: systems engineered to store, index, and quer…
MLPerf Benchmark Explained: How to Read Vendor AI Claims
Evaluating enterprise hardware claims has become a core challenge for infrastructure teams, making a technical MLPerf benchmark explained guide vital …
What Is an AI Agent? Agentic AI Explained (2026)
Ask ten vendors what an AI agent is and you'll get ten pitches. Strip away the marketing and the technical answer is precise: an agent is a loop — a m…
RAG Explained 2026: What Is Retrieval-Augmented Generation?
RAG is a standard architecture for grounding production LLM applications in 2026, and it is far less GPU-hungry than the marketing suggests. IBM defin…
KV Cache Explained 2026: Why Long Chats Eat GPU Memory
A single long chat can quietly outweigh the model itself in GPU memory. In one published worked example, a 64-layer model with 8 KV heads, 128-dimensi…
What Is a Token in an LLM? Context Windows Explained (2026)
A token is the unit an LLM actually counts, and by mid-2026 that unit has become an infrastructure line item, not just a language quirk. Claude Opus 5…
CUDA Cores vs Tensor Cores Explained (2026 Guide)
A Volta-era Nvidia Tesla V100 shipped with 640 Tensor Cores and was rated by Nvidia at 112 TFLOPS of Tensor performance. A single Blackwell GPU, in Nv…
VRAM vs RAM 2026: GPU Memory for AI Workloads
Ask a gamer about VRAM and you'll get an answer about frame rates. Ask an infrastructure buyer in 2026 and the stakes are different: whether an AI mod…
Immersion Cooling Explained: Single-Phase vs Two-Phase
Immersion cooling submerges servers directly in a dielectric liquid, and the difference it makes to efficiency is stark: a typical traditional data ce…
DPU vs SmartNIC Explained: The Third Processor in 2026
A DPU – Data Processing Unit, sometimes badged SmartNIC or IPU – is becoming a genuine emerging line item on UK server quotes in 2026, sitting alongsi…
GPU Partitioning MIG Explained: MIG vs Time-Slicing (UK 2026)
Enterprise GPUs now cost more than ever, yet average utilisation across 23,000 production Kubernetes clusters sits at just 5% in 2026 — meaning most p…
NVLink vs. InfiniBand vs. Ethernet: GPU Fabrics Explained (2026)
In the rapidly evolving landscape of AI and High-Performance Computing (HPC), the choice of GPU interconnect fabric is paramount for achieving optimal…
Model Quantisation Explained: FP16, FP8, INT8, FP4 (2026)
Model quantisation is the single biggest lever a UK buyer has against surging GPU prices in 2026: shrinking a model's numbers from FP16 down to FP8 or…
On-Premise AI Inference Explained: The Private LLM Stack
By mid-2026, on-premise AI inference has stopped being a pilot project and become core infrastructure: 78% of organisations now run their own inferenc…
Inference Server Explained: Training vs Inference 2026
UK businesses routinely buy training-grade hardware to do an inference job — and pay for it twice over. An inference server is a lean, latency-tuned m…
Direct-to-Chip Liquid Cooling Explained (2026 UK Guide)
In 2026, the number that ends the air-cooling debate is blunt: NVIDIA's B200 GPU already draws 1,000W of thermal design power, with the coming B300 an…
HBM Explained: Why AI Memory Prices Soared in 2026
High Bandwidth Memory (HBM) sounds like a niche chip spec, but in 2026 it is the reason your next server or laptop refresh costs more. HBM stacks DRAM…
Rack Power Density Explained: Why AI Racks Hit 120kW
A single NVIDIA GB200 NVL72 rack draws roughly 120-132 kW - about as much electricity as an entire row of the enterprise cabinets it will sit beside. …
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