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AI CURATED HOT STORY · 11/3/2026

TokenSpeed Unveils Next-Gen LLM Inference Engine for Agents

1 reports archived1 independent sourcesupdated 11/3/2026, 16:08:13
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TokenSpeed introduces a next-generation LLM inference engine optimized for agentic workloads, addressing multi-turn short requests and long-context reuse. On the Blackwell platform, it achieves 11% higher throughput than TensorRT-LLM while significantly improving KV Cache reuse efficiency to reduce costs.

LATEST/TokenSpeed introduces a next-generation LLM inference engine optimized for agentic workloads, addressing multi-turn short requests and long-context reuse. On the Blackwell platform, it achieves 11% higher throughput than TensorRT-LLM while significantly improving KV Cache reuse efficiency to reduce costs.

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  1. InfoQ 中文T2·68 pts

    TokenSpeed Unveils Next-Gen LLM Inference Engine for Agents

    • Agentic workloads feature multi-turn short outputs with long prefixes, requiring new optimization targets for throughput under latency constraints.
    • TokenSpeed delivers 11% higher per-GPU throughput than TensorRT-LLM at a typical operating point of 100 TPS per user.
    • A layered decoupled architecture with automatic parallel compilation addresses the low cache utilization issues of traditional chat-oriented inference engines in agent scenarios.