AI models
CLAY
Training compute
3.1×10²² FLOP
Parameters
1.5B
Published
May 30, 2024
CLAY is an AI model developed by Shanghai Tech University, Deemos Technology and Huazhong University of Science and Technology (China), first published in May 2024. It works in the 3d modeling and vision domain, on tasks such as 3d reconstruction.
Training it took an estimated 3.1×10²² FLOP of compute (estimation method: hardware). The model has 1,500,000,000 parameters. Training ran on 256 NVIDIA A800 PCIe for about 360 hours.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Shanghai Tech University, Deemos Technology, Huazhong University of Science and Technology
- Country of organization
- China
- Domain
- 3D modeling, Vision
- Task
- 3D reconstruction
- Training compute
- 3.1×10²² FLOP
- Compute estimation method
- Hardware
- Parameters
- 1,500,000,000
- Training hardware
- NVIDIA A800 PCIe
- Chips used
- 256
- Training time
- 360 h
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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