Machine Learning Algorithms & Natural Language Processing

Mar 5, 2026 · Artificial Intelligence

Mamba’s SSD Framework Shatters Serial Bottleneck, Outperforms vLLM and SGLang

The new Speculative Speculative Decoding (SSD) framework, built by the Mamba and FlashAttention authors, eliminates the serial draft‑verification bottleneck in LLM inference by running the draft model asynchronously, introducing a speculation cache and the Saguaro algorithm, which together deliver up to 5× speedup over autoregressive baselines and up to 2× over optimized engines on Llama‑3 and Qwen‑3, reshaping the latency‑throughput trade‑off.