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 x 10^24 FLOP, about 1.3x the compute of Falcon-180B at 3.8 x 10^24 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.
| Field | Amazon Titan | Falcon-180B |
|---|---|---|
| Organization | Amazon | Technology Innovation Institute |
| Published | Sep 28, 2023 | Sep 6, 2023 |
| Training compute | 4.8 x 10^24 FLOP | 3.8 x 10^24 FLOP |
| Parameters | 200B | 180B |
| Dataset size | 4T | 3.5T |
| Training hardware | NVIDIA A100 | NVIDIA A100 SXM4 40 GB |
| Chips used | 13,760 | 4,096 |
| Training time | 1.2K h | 4.3K h |
| Training cost (2023 USD) | $8M | $11M |
| Training power draw | 10.9 MW | 3.3 MW |
| Accessibility | API access | Open weights (restricted use) |
| Open weights | No | Yes |
| Country | United States | United Arab Emirates |
