STORY · PRODUKTER_
Cloudflare optimizes serving large language models with quantization and compression
Cloudflare has implemented three techniques to run Moonshot Kimi K-series and Z.ai GLM efficiently on its Workers AI platform: quantizing KV-cache from 16-bit to 8-bit, compressing model weights from 8-bit to 4-bit, and integrity checking of shared cache. The optimizations double the context length that can be held in memory and reduce costs without loss of model accuracy.
WHY IT MATTERS
These optimizations enable Cloudflare to serve more customer requests simultaneously on the same hardware, which lowers costs and improves the availability of large long-context models for end users.
SOURCES
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