On January 8, 2026, Moore Threads officially launched SimuMax 1.1 — a major upgrade to its open-source distributed training toolkit. The new version transforms SimuMax from a pure simulation engine into a complete end-to-end distributed training platform, introducing visual configuration interface, intelligent parallel strategy auto-search, dynamic resource-aware scheduling, and seamless integration with MTTorch and MTTensor. Early internal benchmarks show up to 42% improvement in training throughput and 35% reduction in configuration time for large-scale LLM training on MTT GPU clusters, making high-efficiency distributed training finally accessible to the open-source community.

On December 17, 2025, Moore Threads stunned the graphics world by clinching silver in the 3D Gaussian Splatting Reconstruction Challenge at SIGGRAPH Asia 2025 in Hong Kong. Their self-developed LiteGS framework — a full-stack co-optimized powerhouse — delivers up to 10.8x faster training with half the parameters compared to baselines, while lightweight variants hit equivalent quality using just 10% training time and 20% params. Fully open-sourced on GitHub today, LiteGS is igniting global collaboration in real-time 3D reconstruction for AR/VR, robotics, and beyond.