vLLM Integrates TileRT for Low-Latency Decoding
vLLM Blog · rss · 2026-07-14
The vLLM Blog introduces the vLLM x TileRT combination: combining vLLM's prefill with TileRT's decode to form a dedicated low-latency decode engine.
Key Points
- TileRT is integrated via vLLM V1's connector interface.
- Coexistence under the same serving layer: retaining vLLM's native decode while switching to TileRT's specialized decode.
- Goal: lower latency during decode, without modifying vLLM itself.
This is essentially modular optimization in the inference stack: prefill continues with vLLM, decode goes to an engine better suited for latency-critical paths.
More from Infra
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11
- PyTorch Day Korea 2026 launches first offline conf, CFP closes Sept 13 — PyTorch · 2026-09-11
- Local LLM server dilemma: 4x CMP-170HX (price up 53% in 20 days) vs Mac Studio M5 Ultra — rumboll · 2026-09-11
- llama.cpp lands Flash Attention tuning for RDNA4, big prefill gains on AMD — pmttyji · 2026-09-11
- Your p99 latency benchmark may be lying: a deep dive into coordinated omission — Franc0Fernand0 · 2026-09-11