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Amazon Titan vs Llama Nemotron Ultra 253B

Amazon
Amazon Titan
September 2023
vs
4.8×10²⁴Training compute (FLOP)3.9×10²⁵
$8MTraining cost--

Amazon Titan (Amazon) and Llama Nemotron Ultra 253B (NVIDIA) are both frontier AI models. Amazon Titan was published in September 2023 and Llama Nemotron Ultra 253B in March 2025.

Llama Nemotron Ultra 253B was trained on 3.9×10²⁵ FLOP, about 8.1x the compute of Amazon Titan at 4.8×10²⁴ 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
NVIDIA
Sep 28, 2023
Published
Mar 18, 2025
4.8×10²⁴ FLOP
Training compute8.1x
3.9×10²⁵ FLOP
200B
Parameters1.3x
253B
4T
Dataset size6.6x
603B
NVIDIA A100
Training hardware
--
13,760
Chips used
--
1,152 h
Training time
--
$8M
Training cost (2023 USD)
--
10.9 MW
Training power draw
--
API access
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United States
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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.