AI models
ASE
Training compute
4.5×10¹⁹ FLOP
Published
May 5, 2022
ASE is an AI model developed by NVIDIA and University of California (UC) Berkeley (United States), first published in May 2022. It works in the robotics domain, on tasks such as animal (human/non-human) imitation.
Training it took an estimated 4.5×10¹⁹ FLOP of compute (estimation method: hardware). Training ran on NVIDIA Tesla V100 PCIe 16 GB for about 240 hours.
The reference paper has 56 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- NVIDIA, University of California (UC) Berkeley
- Country of organization
- United States
- Domain
- Robotics
- Task
- Animal (human/non-human) imitation
- Training compute
- 4.5×10¹⁹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- NVIDIA Tesla V100 PCIe 16 GB
- Training time
- 240 h
- Citations
- 56
- Epoch confidence
- Likely
More from NVIDIA,University of California (UC) Berkeley
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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