Project_Chronos
⚡ Zero-Stall MoE Inference via Lookahead Prediction & Async DMA Prefetching. Optimized for SSD I/O with Hybrid MLA+Sliding Window Attention.
Updated means this listing was last refreshed on May 3, 2026.
About Project_Chronos
Pricing:Free
⚡ Zero-Stall MoE Inference via Lookahead Prediction & Async DMA Prefetching. Optimized for SSD I/O with Hybrid MLA+Sliding Window Attention. FonaTech/Project_Chronos is an open source project on GitHub with 109 stars. Built primarily in Python. Licensed under Apache-2.0. Topics: artificial-intelligence, async-dma, dual-layer-moe, generative-ai, high-throughput, io-latency-hiding, large-language-model, llm, lookahead-routing, lora.
Best For
- •Model Inference Optimization
- •Performance Prediction
- •Attention Mechanism Enhancement
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