TileRT
Tile-Based Runtime for Ultra-Low-Latency LLM Inference
About
TileRT is a project designed to serve large language models (LLMs) in ultra-low-latency scenarios. Its goal is to push the latency limits of LLMs without compromising model size or quality—enabling models with hundreds of billions of parameters to achieve millisecond-level time per output token (TPOT).
Open Source Health
- Stars
- 1,765
- Forks
- 122
- License
- MIT
- Last commit
- 2 months ago
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tile-ai
Enabling Lightning-Fast AI Workloads Development via Tiling
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