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Deepseek's DSpark boosts AI speed by up to 85 percent
DeepSeek releases DSpark framework improving AI inference speed by up to 85 percent through token candidate batching across model sizes.
Deepseek's new DSpark framework boosts per-user response speed by 60 to 85 percent. A small model proposes token candidates that the larger model checks in batches, squeezing more performance out of fewer chips. That could further reduce China's dependence on US high-end hardware.
The article Deepseek's DSpark boosts AI speed by up to 85 percent, a strategic win under tightening US export controls appeared first on The Decoder.
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