DSpark Cuts LLM Inference Latency by Up to 85% with Speculative Decoding
DeepSeek’s DSpark uses a semi‑autoregressive draft model and confidence‑scheduled verification to cut LLM inference time by 60‑85% in production. The gains keep output quality intact while slashing GPU waste, opening faster, cheaper chat‑assistant services at scale.