KV Cache Quantization is a technique that allows larger AI models to run efficiently on lower-spec hardware without needing a powerful GPU. For instance, videos explore how it makes a 27 billion parameter model functional on just 12GB of RAM or a standard desktop, as demonstrated by DeepSeek reducing memory usage by an impressive 437 times. By understanding this technique, AI practitioners can learn practical methods to optimise models and improve accessibility.
11:04
11:20
10:44
14:24
14:53
17:53
14:26
17:31
The third AI workshop taught by our legendary teacher, Nick Sarafa. In one of the last events we did an asset manager raised an additional £25M on their fund within a space of 9 months. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence. One person did.
Apply once › get screened › meet the company
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
We use a few cookies to keep the site running. Necessary ones are always on. Analytics + marketing are off until you say otherwise.
Read our cookie policy · privacy.