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: conventional air-cooled UK da…
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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