In diretta
Head to head

Inflection-2 vs Llama Nemotron Ultra 253B

Inflection AI
Inflection-2
November 2023
vs
10²⁵Training compute (FLOP)3.9×10²⁵
$13MTraining cost--

Inflection-2 (Inflection AI) and Llama Nemotron Ultra 253B (NVIDIA) are both frontier AI models. Inflection-2 was published in November 2023 and Llama Nemotron Ultra 253B in March 2025.

Llama Nemotron Ultra 253B was trained on 3.9×10²⁵ FLOP, about 3.9x the compute of Inflection-2 at 10²⁵ 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
Inflection AI
Organization
NVIDIA
Nov 22, 2023
Published
Mar 18, 2025
10²⁵ FLOP
Training compute3.9x
3.9×10²⁵ FLOP
--
Parameters
253B
--
Dataset size
603B
NVIDIA H100 SXM5 80GB
Training hardware
--
5,000
Chips used
--
$13M
Training cost (2023 USD)
--
6.9 MW
Training power draw
--
Hosted access (no API)
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United States
Related comparisons
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.