latency-optimized

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#latency-optimized

@vllm_project: Once prefill and decode are disaggregated, the decode side becomes a choice: pluggable, swappable per workload. The @Ti…

X AI KOLs Following ↗ · 2026-07-15 Cached

vLLM announces integration with TileRT's decode engine via its V1 connector interface, allowing users to pair vLLM prefill with a specialized latency-optimized decode engine for workloads like agents and real-time assistants, without any changes to vLLM.

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#latency-optimized

@ClementDelangue: Kog open-sourced on @huggingface the 2B model that they used to show a model running at 3,000+ tokens per second. Very …

X AI KOLs Timeline ↗ · 2026-06-24 Cached

Kog has open-sourced the Laneformer 2B model, a 2.3B parameter instruction-tuned coding model designed for high-speed decoding, achieving over 3,000 tokens per second by prioritizing latency from the architecture stage.

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