vLLM Supports DFlash Inference Acceleration Checkpoints
vllm_project · x · 2026-07-15
Red Hat AI has released DFlash speculative checkpoints for two of NVIDIA's open models:
- Nemotron Ultra 550B
- Nemotron Super 120B
Reported performance metrics include:
- Average acceptance of about 5/7 draft tokens on math/reasoning tasks
- Average acceptance of about 3.4/7 draft tokens on coding tasks (HumanEval)
These checkpoints were trained using the open-source Speculators library, are licensed under Apache 2.0, and have been validated on the NVIDIA B200. Users can enable them simply by adding the --speculative-config parameter in vLLM.
Related event: Red Hat AI Releases DFlash Inference Checkpoints for NVIDIA Models(2 posts)→
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