DeepSeek introduces DSpark, a speculative decoding method that significantly accelerates Large Language Model inference by leveraging a small draft model to predict multiple tokens in parallel. This approach reduces latency and improves throughput without requiring additional hardware resources, making it highly practical for deployment.
Background
Speculative decoding is an emerging technique to speed up autoregressive generation by using a smaller, faster model to propose candidate tokens for verification by the larger target model.
- Source
- Hacker News (RSS)
- Published
- Jun 27, 2026 at 05:18 PM
- Score
- 8.0 / 10