AlphaGo Master

Training compute

3.4×10²⁰ FLOP

Published

Oct 19, 2017

AlphaGo Master is an AI model developed by DeepMind (United Kingdom), first published in October 2017. It works in the games domain, on tasks such as go.

Training it took an estimated 3.4×10²⁰ FLOP of compute (estimation method: benchmarks). Training ran on Google TPU v1 for about 72 hours. The compute alone is estimated at $471K in 2023 dollars.

Access: Unreleased. Its weights are not openly released. The reference paper has 10,021 citations. Epoch AI rates the confidence of this record as likely.

Full record

Organization: DeepMind
Country of organization: United Kingdom
Domain: Games
Task: Go
Training compute: 3.4×10²⁰ FLOP
Compute estimation method: Benchmarks
Training hardware: Google TPU v1
Training time: 72 h
Training cost (2023 USD): $471K
Model accessibility: Unreleased
Open weights: No
Citations: 10,021
Epoch confidence: Likely