vLLM x TileRT: pluggable specialized decode for latency-critical serving, explained
vllm_project · x · 2026-09-25
A vLLM blog post details the TileRT integration: disaggregated serving separates compute-bound prefill from memory-bandwidth-bound decode, making the decode side pluggable. Native vLLM decode remains the default for high-throughput batched serving, but latency-bound workloads like agentic loops, coding assistants, and real-time voice benefit from TileRT, a decode engine built to push per-user speed to hardware limits. Ships with TileRT 0.1.5 via vLLM's V1 connector interface; benchmark config is public in the InferenceX repo.
Related event: vLLM Integrates TileRT, AMD MI355X Outpaces GB300 by 40% on GLM-5.3(2 posts)→
More from Infra
- Investor Predicts EDA/CAD Will Collapse Into One Flow Within 3-5 Years — ai · 2026-09-25
- AI Data Center Debt Starting to Roll Over, Rising Rates Accelerating the Problem — AIFlow_ML · 2026-09-25
- Musk details xAI compute: Colossus 2 to hit 880k GB300s by year-end — elonmusk · 2026-09-25
- Qwen-Image-2.1 gets GGUF quantization, could run text-to-image on a Snapdragon 865 phone — ResidentAping · 2026-09-25
- Deep Inference-Query Engine Integration: Custom Scheduler and Workload-Aware KV Cache for Prefill-Only AI Filters — charles_irl · 2026-09-25
- Finance worker seeks local AI setups to cut soaring Codex/ChatGPT costs — Startup__Sam · 2026-09-25