Media Summary: Check out Inngest and let your AI agents wear a harness now! Welcome to KYC AI Labs! This video is an additional resource for the "LLMs & AI agentic Systems" workshop at Taiwan Soochow ... Long-context AI gets expensive fast, and one of the biggest reasons is KV cache memory. In this video, I
Turboquant Explained - Detailed Analysis & Overview
Check out Inngest and let your AI agents wear a harness now! Welcome to KYC AI Labs! This video is an additional resource for the "LLMs & AI agentic Systems" workshop at Taiwan Soochow ... Long-context AI gets expensive fast, and one of the biggest reasons is KV cache memory. In this video, I Disclaimer: This video is generated with Google's NotebookLM. As AI context windows expand to process entire codebases and massive documents, the Key-Value (KV) cache is rapidly ... Every time you feed an AI a long document or a massive codebase, it chokes, slows down, and eats through your GPU memory .
Introducing RotorQuant, a new technology for efficiently compressing KV caches for large-scale language models (LLMs). Google just compressed the KV cache by 6x with ZERO accuracy loss and made attention 8x faster on H100 GPUs. No retraining.
![[updated] The Algorithmic Shockwave by Google TurboQuant](https://i.ytimg.com/vi/BIXD7lhfcBE/mqdefault.jpg)
