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DeepSeek open sources DSpark framework to accelerate LLM inference by up to 85%

By

Carl Franzen

1h ago· 14 min readenNews

Summary

Chinese AI company DeepSeek has open-sourced DSpark, a new MIT-licensed framework designed to accelerate LLM inference by up to 85%. DSpark speeds up the decoding process in large language models without altering the model's output, potentially reshaping global AI development. The system's actual speed gains depend on acceptance quality during decoding.

Source

bskyDeepSeek open sources DSpark framework to accelerate LLM inference by up to 85%venturebeat.com

Key quotes

· 3 pulled
DeepSeek is back with yet another open release that could once again change AI development around the globe.
DSpark, a new, MIT-Licensed system designed to make large language models answer faster without changing what the underlying model is trying to say.
acceptance quality still determines how much speed the system actually realizes.
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DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

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