Modal launches DFlash speculator for Kimi K3

Speculative decoding is becoming critical for serving massive open-weights and frontier models at scale without compromising response latency.

• –Custom-trained draft speculators like DFlash allow cloud compute providers to significantly boost throughput for specific model architectures.
• –Day-0 partner launches ensure immediate availability of optimized inference stacks for developers.
• –Achieving latency gains without quality trade-offs makes high-parameter LLMs far more practical for real-time production applications.