The multimodal AI revolution demands infrastructure that processes images, text, and video at scale. Developers in China are building the applications that define this future.

Today, we're launching the Daft Chinese Community in partnership with ByteDance's Volcano Engine Team—eliminating the language barriers that separate world-class developers from world-class technology.

Why This Matters

Daft's DataFrame and SQL fusion, distributed processing, and GPU-accelerated multimodal operations shouldn't require translation to be transformative. The gap between English documentation and Chinese innovation cycles has real costs: developers waste time on workarounds instead of breakthroughs.

We’re closing that gap.

Technical Community, Technical Standards

Working with ByteDance's Volcano Engine, we're building a community that delivers:

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  Deep Technical Content: Chinese translations of Daft's core documentation, architectural deep-dives, and source code analysis. The same technical depth that drives Silicon Valley innovation.

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  Local Use Cases: Real implementations for Chinese developers. Computer vision pipelines processing millions of images. Natural language processing across multiple languages. Distributed training workflows that scale from prototypes to production.

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  Direct Engineering Access: Feature requests, optimization insights, and architectural feedback flow directly into Daft's development cycle.

As Guo Jun, Head of the Data Engine Team at ByteDance's Volcano Engine Cloud Platform, explains: "We hope that through the Daft Chinese Community, by providing in-depth technical analysis, sharing practical cases that fit local scenarios, and providing a Chinese communication platform for Daft, we can lower the technical understanding and usage barriers for developers in China."

We share this vision completely. Sammy Sidhu, CEO of Daft: "I cannot wait to bridge our worlds through data technology and AI in partnership with our friends in the Bytedance Volcano Engine Team. The world of generative AI has necessitated a revolution around multimodal and unstructured data - that is Daft."

Jay Chia, CTO of Daft, echoes this sentiment: "We are very happy to collaborate and help our project cross geographical boundaries and work hand in hand with developers in China! Looking forward to close collaboration with all developers working in multimodal data and artificial intelligence."

Global Engineering, Local Expertise

Every optimization Chinese developers discover strengthens the entire Daft ecosystem. ByteDance's Volcano Engine Team brings deep expertise in distributed systems and AI infrastructure. We bring the most advanced multimodal data processing framework ever built.

Join the Community

Chinese developers building the next generation of AI applications now have native access to the infrastructure that makes those applications possible. Explore the future of distributed AI computing with Daft experts and global Daft users:

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  Learn more about Daft: https://www.daft.ai

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  Give Daft a star: https://github.com/Eventual-Inc/Daft

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  Follow the Official Chinese Daft Community WeChat: http://weixin.qq.com/r/mp/3hYWDmXEcTgOrSFt90PM

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  Join the Chinese Daft Community Discussion Group: https://h5.clewm.net/?url=qr61.cn/oXhtWQ/qwMO1Np

Any Modality. Radical Potential. 全球化.

The future of multimodal data processing just became universally accessible.

Read the blog from Bytedance: https://mp.weixin.qq.com/s/OBk9jrM7cfJZfjZ2HN0WJQ