vLLM upgrades EPD encoder disaggregation for lower latency and higher throughput
Overview
vLLM announces on X on November 11, 2026, that its latest EPD encoder disaggregation improvements lower time to first token and raise throughput per GPU, counting encoder GPUs, and that the upgrade is integrated with vLLM Router, SMG, and llm-d.
EPD separates the multimodal encoder into its own instance, and metadata-only requests let downstream instances skip media preprocessing and receive embeddings through connectors.
In a vLLM blog post dated November 10, 2026, vLLM reports a DeepSeek V4.1 Flash test on GB200 in which EPD delivered 6.6 to 9.5% higher throughput per GPU than a PD baseline at concurrency 64 to 128, with P90 TTFT 44 to 47% lower, counting encoder GPUs. The blog says initial support covers images, Model Runner V2, encoder TP=1, and no dynamic LoRA, and that DeepSeek V4.1 Flash metadata-only support is on main through #62802. No independent benchmark has been reported.
Written by AI from the articles below · updated Nov 11, 5:21 AM ET
Check the sources:
Developments
2 developments
- Nov 11, 5:03 AM ET · 1 articlevLLM upgrades encoder disaggregation performance and integrationsvLLM: vLLM upgrades its EPD encoder disaggregation with lower latency and higher throughput
- Nov 10, 7:00 PM ET · 1 articlevLLM explains encoder disaggregation for multimodal servingvLLM Blog: vLLM explains encoder disaggregation for scaling multimodal serving
Article timeline
The articles in this story. Times are ET.
vLLM@vllm_projectOfficialvLLM upgrades its EPD encoder disaggregation with lower latency and higher throughputAIvLLM says its latest EPD encoder disaggregation improvements deliver lower TTFT and higher throughput per GPU, counting all encoder GPUs. The upgrade is integrated with vLLM Router, SMG, and llm-d. The post links to a blog with details.
- vLLM BlogOfficialPickvLLM explains encoder disaggregation for scaling multimodal serving
AIvLLM's blog explains how separating the multimodal encoder into its own instance, using EPD disaggregation, changes serving. Metadata-only requests let downstream instances skip media preprocessing and receive embeddings through connectors. In a DeepSeek V4.1 Flash test on GB200, EPD delivered 6.6 to 9.5% higher throughput per GPU than a PD baseline at concurrency 64 to 128, with P90 TTFT 44 to 47% lower, counting encoder GPUs.
Heat Trend
- Current comparable heat
- 15
- Peak comparable heat
- 17Nov 11, 6:00 AM ET
- Change in past 24 hours
- –
The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.