Just now, DeepSeek V4 updated DSpark, boosting inference speed by 80%

▤ Summary

DeepSeek has released DSpark, a new speculative decoding framework that increases inference speed for its online LLM traffic by up to 80%. The update focuses on engineering improvements to production inference rather than a new model architecture. DeepSeek also open-sourced DeepSpec, a full-stack framework for training and evaluating speculative decoding draft models. The project targets latency and throughput bottlenecks in high-concurrency environments and supports Qwen and Gemma target models. This launch creates a clear infrastructure play for teams that want faster LLM serving and lower inference costs.

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