CLOUDFLARE'S Workers AI enables efficient inference for advanced AI models using GPUs across their data centers. Key techniques discussed include: 1) **Quantizing the KV Cache** - Reducing the cache size from 16-bit to 8-bit improves memory usage, allowing for more requests without sacrificing performance. 2) **Compressing Model Weights** - Implementing 4-bit integer compression cuts the model size significantly, improving speed without loss of accuracy.
3) **Protecting a Shared KV Cache** - Integrity checks ensure consistent data access across multiple requests, with minimal latency impact. These strategies enhance the ability to serve large models at lower costs, maintaining quality.