AI models
SAGAN
Training compute
2.2×10²⁰ FLOP
Published
Jun 14, 2019
SAGAN is an AI model developed by Rutgers University and Google Research (United States), first published in June 2019. It works in the image generation domain, on tasks such as image generation.
Training it took an estimated 2.2×10²⁰ FLOP of compute (estimation method: hardware).
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Rutgers University, Google Research
- Country of organization
- United States
- Domain
- Image generation
- Task
- Image generation
- Training compute
- 2.2×10²⁰ FLOP
- Compute estimation method
- Hardware
- Chips used
- 4
- Training time
- 336 h
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Likely
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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