What is Sand.ai
Sand.ai (Beijing Sanda Technology) isan AI video generation platform. The platform focuses on the autoregressive world model technical route and has now open-sourced a 15-billion-parameter audio-video modeldaVinci-MagiHuman, the distributed training component MagiAttention, and the compilation framework MagiCompiler. Its products include the world's first autoregressive video modelMagi-1, an audio-video simultaneous generation modelGAGA-1, and an overseas Video Agent. It recently completed tens of millions of dollars in financing, committed to "Advance AI to benefit everyone".
Sand.ai's Main Features
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daVinci-MagiHuman: An open-source 15-billion-parameter audio-video simultaneous generation large model that adopts a single-stream Transformer architecture to uniformly model text, video, and audio, solving the pain points of stiff AI video performances and out-of-sync audio and video.
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MagiAttention: A distributed Attention component deeply adapted to Hopper and Blackwell architectures. Through the Group Collective communication kernel, it reduces cross-machine communication volume and achieves global load balancing to support ultra-large model training and extremely fast generation.
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MagiCompiler: A training-inference integrated global compilation framework deeply optimized based on torch.compile. Through whole-graph compilation, automatic recomputation, and JIT Offload scheduling, it fully takes over the computation and VRAM lifecycle, enabling consumer-grade GPUs to run ultra-large video models in real time.
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Magi-1: The world's first autoregressive video generation large model, supporting infinite-length video continuation, 1-second-level fine temporal control, and smooth and natural motion generation, bidding farewell to the slow motion and rigidity of traditional AI videos.
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GAGA-1: China's first audio-video simultaneous generation model, focusing on the ultimate expressiveness at the "AI actor" level, achieving precise lip sync, natural facial expressions, and physical rule coherence, solving the core challenges of character inconsistency and stiff expressions.
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Video Agent: An intelligent video creation tool for overseas markets, providing a one-click complete video creation workflow.
Sand.ai's Key Information and Usage Requirements
- Company Full Name: Beijing Sanda Technology (Sand.ai)
- Founded: 2024
- Founder: Dr. Cao Yue (core author of Swin Transformer, ICCV Marr Prize winner)
- Co-founder: Zhang Zheng (also a core author of Swin Transformer)
- Technical Route: Autoregressive world model, not the mainstream DiT route
- Financing Status: Led by Source Code Capital, Today's Capital, Matrix Partners China, etc.; recently completed tens of millions of dollars in financing
- Company Vision:Advance AI to benefit everyone
- Core Advantages: Full-stack self-research capabilities in models, computing power, and compilation frameworks
- daVinci-MagiHuman: Technical report, released on March 23, 2026
- Magi-1: Technical report, inference code, model weights, released on April 21, 2025
- MagiAttention: Code, released on April 21, 2025
- MagiCompiler: Code, recently open-sourced
- Open-Source Model Usage: Visit GitHub to obtain inference code and model weights; you need to provide your own NVIDIA GPU, with Hopper/Blackwell architectures recommended for optimal performance; consumer-grade GPUs such as RTX 5090 can achieve real-time inference through MagiCompiler optimization
How to Use Sand.ai
- How to Obtain: Visit the Sand.ai GitHub repository or the Sand.ai official websitehttps://sand.ai/下载推理代码与模型权重。
- Hardware Requirements: Self-provided NVIDIA GPU, Hopper or Blackwell architecture recommended for best performance; consumer-grade GPUs such as RTX 5090 can achieve near-real-time inference speed through MagiCompiler compilation optimization.
- Deployment Steps: After configuring the GPU environment, load the open-source Magi-1 model weights or the daVinci-MagiHuman model to perform local video generation.
- Magi-1 and GAGA-1: Access and use directly through the Sand.ai official website or API platform, supporting web-based interaction or API integration.
Comparison of Sand.ai's Similar Competitors
| Comparison Dimension | Sand.ai | KuaishouKling | Runway Gen-3 |
|---|---|---|---|
| Technical Architecture | Autoregressive | DiT diffusion model | DiT diffusion model |
| Degree of Open Source | Full-stack open source (model, code, compilation framework) | API service only | Fully closed source |
| Video Duration | Unlimited continuation | Up to 3 minutes | Up to 40 seconds |
| Audio Generation | GAGA-1 native simultaneous audio-video generation | Requires post-production dubbing | Requires post-production dubbing |
| Temporal Control | 1-second-level fine-grained control | Second-level | Clip-level |
| Target Users | Developers, professional creators | Ordinary C-end users | Professional creators |
Sand.ai's Application Scenarios
- Film and Television Production: Magi-1's unlimited continuation capability supports continuous generation of long shots, suitable for film storyboard previews, short film creation, and dynamic storyboard production; 1-second-level temporal control can precisely match script rhythm.
- Virtual Human Livestreaming: GAGA-1's simultaneous audio-video generation feature can create 24-hour uninterrupted AI anchors, achieving precise lip sync and natural expressions, suitable for e-commerce livestreaming, news broadcasting, and online education.
- Advertising and Marketing: Video Agent generates complete advertising videos with one click, supports rapid iteration of multi-version materials, and reduces shooting costs and production cycles.
- AI Model Research: The full-stack open-source code provides academia with a foundational framework for autoregressive video generation, supporting secondary development and algorithm validation.