AI tools-ai Jun 3, 2026 1 min read

Introducing TokenSpeed: An Open-Source LLM Inference Engine with TensorRT-Level Performance

TokenSpeed is a new LLM inference engine that matches TensorRT-LLM in performance while remaining as easy to use as vLLM, released under the MIT license.

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Lightseek Tokenspeed Open Source LLM Inference Infrastructure GPU

Sources x.com

The LightSeek team has just announced TokenSpeed, an inference engine for large language models (LLMs) that promises lightning-fast processing speeds.

Key Developments

TokenSpeed is billed as delivering performance on par with NVIDIA's TensorRT-LLM while maintaining the ease of use and flexibility of vLLM. Built by a lean team in just two months, the project has been open-sourced on GitHub under the MIT license. The engine focuses on optimizing throughput and latency for AI inference tasks.

Why It Matters

As Vietnamese enterprises actively deploy on-premise LLMs, having access to an open-source, high-performance, and easy-to-configure inference engine is incredibly valuable. TokenSpeed could help reduce hardware (GPU) costs and simplify deployment workflows for large-scale chatbot or RAG systems.