This is the Linux app named TokenSpeed whose latest release can be downloaded as tokenspeedsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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TokenSpeed
DESCRIPTION
TokenSpeed is an LLM inference engine designed for high-performance production agent workloads. It aims to combine TensorRT-LLM-level speed with vLLM-level usability, making it relevant for teams that need fast generation without sacrificing developer ergonomics. The project is focused on the specific needs of agentic systems, where latency, throughput, and efficient scheduling matter across many short or tool-heavy requests. It builds on ideas and components from the broader open-source inference ecosystem while presenting its own execution stack. TokenSpeed is useful for developers building local or server-side LLM infrastructure for agents, coding systems, and high-volume AI applications. Its main value is providing an inference layer optimized for fast token generation under practical agent workloads.
Features
- High-performance LLM inference engine
- Designed for production agentic workloads
- TensorRT-LLM-style performance goal
- vLLM-style usability goal
- Python package-oriented project structure
- MIT-licensed open-source implementation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tokenspeed.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
