Head to head
Amazon Titan vs Falcon-180B
4.8×10²⁴Training compute (FLOP)3.8×10²⁴
$8MTraining cost$11M
Amazon Titan (Amazon) and Falcon-180B (Technology Innovation Institute) are both frontier AI models. Amazon Titan was published in September 2023 and Falcon-180B in September 2023.
Amazon Titan was trained on 4.8×10²⁴ FLOP, about 1.3x the compute of Falcon-180B at 3.8×10²⁴ FLOP. Training compute is the closest available proxy for how much was invested in a model, though it says nothing on its own about how well that compute was spent.
These two models share no benchmark on which both have been scored, so no direct performance comparison is possible here. The specification table below is a comparison of inputs, not of results.
Specifications
Amazon
Organization
Technology Innovation Institute
Sep 28, 2023
Published
Sep 6, 2023
4.8×10²⁴ FLOP
Training compute1.3x
3.8×10²⁴ FLOP
200B
Parameters1.1x
180B
4T
Dataset size1.1x
3.5T
NVIDIA A100
Training hardware
NVIDIA A100 SXM4 40 GB
13,760
Chips used3.4x
4,096
1,152 h
Training time
4,320 h
$8M
Training cost (2023 USD)1.4x
$11M
10.9 MW
Training power draw
3.3 MW
API access
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United Arab Emirates
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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.