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Cloudflare has detailed methods for running Kimi and GLM models at scale, focusing on memory efficiency and safety.
The approach involves quantizing KV caches and compressing model weights to optimize GPU memory usage. Integrity checks are also implemented to ensure safe model deployment. These techniques aim to serve the models faster and more cost-effectively.
Source: blog.cloudflare.com
Optimizing memory usage with quantized KV caches seems like a smart move for scaling AI models.
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