NVIDIA Introduces MotionBricks for Real-Time Human and Robot Motion
NVIDIA Introduces MotionBricks for Real-Time Human and Robot Motion
NVIDIA has introduced MotionBricks, an AI model for generating realistic human and robot movements in real time, while a community implementation reaches about 10,000 generations per second on one RTX 4090.
NVIDIA has introduced MotionBricks, a new AI model capable of generating realistic human and robot movements in real time. The project is available on GitHub.
A developer implemented batch processing for NVIDIA MotionBricks while preserving real-time operation.
- On a single RTX 4090 GPU, the pipeline performs about 10,000 generations per second.
- This is 26 times faster than sequential processing.
- The approach can be used in games to create highly dynamic crowds of characters.
Source code: CrowdBricks.
Why it matters
AnalysisThe result shows that real-time motion generation can scale to game-like crowd scenarios, reducing the gap between AI research and practical interactive applications.
Discuss in community
Share your questions and insights with developers
Related in Ecosystem
Practical guides, core terminology, and agent skills
NVIDIA introduces MotionBricks: AI model for real-time realistic human and robot motion
NVIDIA has introduced MotionBricks, an AI model capable of generating realistic human and robot movements in real time; the code is available on GitHub.
AI helps increase throughput of Nvidia RTX 3000 and 4000 GPUs
New GitHub projects, gpu-unlock and gpu-unlock-ada, claim to help increase the throughput of Nvidia RTX 3000 and 4000 series GPUs.
Nvidia's Monopoly and the CUDA Platform
An analysis of Nvidia's technological and economic dominance in the AI market. The CUDA (Compute Unified Device Architecture) platform, created in 2006, transformed ordinary gaming GPUs into the planet's primary computational tool, making it difficult for competitors like AMD and Intel to break this monopoly.
10 GitHub repositories that will help you become an AI engineer in 90 days
Becoming an AI engineer today isn't all about models and prompts. Most of the real work is built around agents, RAG systems, orchestration, vector databases, and AI infrastructure.
Top GitHub Repositories for SEO and Keyword Research
8 battle-tested open-source GitHub repositories for semantic keyword discovery, technical audits, and Generative Engine Optimization (GEO).
TensorRT-LLM & SGLang High-Speed Engines
Deeply compiled computational engines for extreme optimization of language model inference on NVIDIA servers, utilizing graph optimization, FlashAttention-3, and advanced routing.