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TokenSpeed
TokenSpeed is an LLM inference engine designed for agentic workloads to maximize tokens per minute and reduce inference latency.
TokenSpeed is an LLM inference engine built specifically for agentic-inference regimes. It uses a compiler-backed modeling mechanism for parallelism and a high-performance scheduler that decouples the control plane from the execution plane. The engine supports heterogeneous accelerators through a pluggable layered kernel system and includes specific optimizations like TokenSpeed MLA for NVIDIA Blackwell. It enforces safe resource management for KV cache state transfer at compile time. The architecture allows developers to specify I/O placement annotations while automating collective operations for model construction.
TokenSpeed at a glance
- Best for: Software engineer
- Pricing: Free
- Released: May 2026
- Category: AI coding tool
- Website: lightseek.org
Key features
- Compiler-backed modeling mechanism for parallelism
- High-performance C++ control plane scheduler
- Pluggable layered kernel system for heterogeneous accelerators
- Safe KV resource reuse restriction
- SMG integration for low-overhead CPU-side request entrypoints
- Optimized MLA kernels for NVIDIA Blackwell
- Static compiler for automated collective operations
Use it for
- High-throughput inference for coding agents
- Managing inference workloads with long context tokens
- Serving models requiring low-latency decode performance
Alternatives to TokenSpeed
- llm-d — Deploys production-grade LLM serving on existing hardware clusters.
- Resin — Builds high-performance inference engines for complex models like DeepSeek and GLM.
- DeepSpeed — It supports training models with over 100 billion parameters.
- Llmspeed — Simulates tokens per second and time-to-first-token using verified benchmarks.
- LMDeploy — Accelerates inference with high-performance engines and quantization tools.
- FreeToken — Runs 290B+ MoE models on consumer gaming PCs using elastic edge resources.
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
- Pulsar — It is the fastest inference engine for Qwen models on Apple Silicon.
- vLLM — Maximizes throughput with PagedAttention and continuous batching.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
- Strata — Runs large AI models locally on consumer gaming PCs without server reliance.
- WebLLM — Runs high-performance language models directly inside web browsers.
All TokenSpeed alternatives