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Inflection-2 vs Nemotron-4 340B

Inflection AI
Inflection-2
November 2023
vs
NVIDIA
Nemotron-4 340B
June 2024
10²⁵Training compute (FLOP)1.8×10²⁵
$13MTraining cost$21M

Inflection-2 (Inflection AI) and Nemotron-4 340B (NVIDIA) are both frontier AI models. Inflection-2 was published in November 2023 and Nemotron-4 340B in June 2024.

Nemotron-4 340B was trained on 1.8×10²⁵ FLOP, about 1.8x 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
Jun 14, 2024
10²⁵ FLOP
Training compute1.8x
1.8×10²⁵ FLOP
--
Parameters
340B
--
Dataset size
9T
NVIDIA H100 SXM5 80GB
Training hardware
NVIDIA H100 SXM5 80GB
5,000
Chips used1.2x
6,144
--
Training time
2,200 h
$13M
Training cost (2023 USD)1.6x
$21M
6.9 MW
Training power draw
8.5 MW
Hosted access (no API)
Accessibility
Open weights (unrestricted)
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.