⚡ 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.
⚡ 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.
87.6% SWE-bench — the strongest coding model available
OpenAI's latest fully retrained foundation model with parallel reasoning
Ultra-low-cost reasoning model rivaling frontier performance
Ideogram
AI image generator with best-in-class text rendering in generated images
AIclicks
Track your brand visibility in ChatGPT, Gemini, and Perplexity: GEO/AEO monitoring, competitor analysis, analytical reports, weekly recommendations, content creation, and LLM optim
Deep Swap AI
Create hyperrealistic video montages by replacing any face. This AI deals with complex angles and expressions for virtually undetectable results, both in photos and animated clips.
Voicenotes
AI voice recorder that transcribes, summarizes, and organizes your spoken notes