How KV Cache Speeds Up LLMs for Faster AI Models on GPUs

From the creator

Learn more about LLM inference here → https://ibm.biz/~Ewjm0UejN Why do LLMs crawl when traffic spikes? 🤔 Legare Kerrison explains how KV cache and paged attention reshape GPU memory across prefill and decode to speed up LLM inference. Learn how smarter context handling unlocks faster AI models, lower latency, and better GPU throughput. 🚀 AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~nnmLUPhCs #llm #aiinfrastructure #gpu #machinelearning

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

◆ Fri 13 Nov 2026 ◆ KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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