Overview

TokenSpeed is a groundbreaking LLM inference engine engineered for agentic workloads, delivering unparalleled performance at the speed of light. It merges the robust, TensorRT-LLM-level performance with the user-friendly experience of vLLM, making it the definitive choice for production-ready agentic applications.

Key Features

• Separated Control and Execution Planes: A unique architecture featuring a C++ finite-state machine control plane that guarantees compile-time safety for request lifecycles and KV cache management, paired with a Python execution plane for rapid development and ease of use.
• Modular Kernel System: A pluggable, layered kernel design with a portable public API and a centralized registry. Features high-performance kernels, including one of the fastest MLA (Multi-head Latent Attention) implementations on Blackwell for agentic tasks.
• SMG-Integrated AsyncLLM: Enables low-overhead CPU-side request handling, further optimizing inference speed.
• Neutral and Open-Source: Developed under the non-profit LightSeek Foundation, ensuring vendor neutrality and robust community support, with significant backing from industry leaders like NVIDIA and AMD.

Typical Use Cases

TokenSpeed is specifically optimized for demanding agentic workloads, including:

• Advanced AI Agents: Powering sophisticated AI agents that require rapid response times and efficient resource utilization.
• High-Throughput Inference: Serving large volumes of requests in production environments with exceptional speed.
• Frontier Model Deployment: Enabling "Day 0" deployment and inference for cutting-edge large language models on leading hardware platforms.
• Research and Development: Providing a stable and performant engine that accelerates research and development in LLM inference.