NVIDIA's EPD Disaggregation Accelerates Multimodal Model Serving by up to 5x

EPD is an inference optimization that disaggregates multimodal model stages (vision encoding, prefill, decode) to run on separate resources, improving efficiency and reducing latency.

It excels with image-heavy prompts, short-to-medium output lengths, and quantized Mixture-of-Experts models.

Traditional methods treat the model as a monolith; EPD allocates dedicated resources per stage, eliminating bottlenecks and boosting throughput.

Yes, via NVIDIA Dynamo available to developers, which can be integrated into existing inference stacks for vision-heavy applications.