In diretta
Head to head

Minerva (540B) vs Nemotron-4 340B

Google
Minerva (540B)
June 2022
vs
NVIDIA
Nemotron-4 340B
June 2024
2.7×10²⁴Training compute (FLOP)1.8×10²⁵
--Training cost$21M

Minerva (540B) (Google) and Nemotron-4 340B (NVIDIA) are both frontier AI models. Minerva (540B) was published in June 2022 and Nemotron-4 340B in June 2024.

Nemotron-4 340B was trained on 1.8×10²⁵ FLOP, about 6.6x the compute of Minerva (540B) at 2.7×10²⁴ 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
Google
Organization
NVIDIA
Jun 29, 2022
Published
Jun 14, 2024
2.7×10²⁴ FLOP
Training compute6.6x
1.8×10²⁵ FLOP
540.4B
Parameters1.6x
340B
26B
Dataset size346x
9T
Google TPU v4
Training hardware
NVIDIA H100 SXM5 80GB
1,024
Chips used6.0x
6,144
696 h
Training time
2,200 h
--
Training cost (2023 USD)
$21M
698.4 kW
Training power draw
8.5 MW
Unreleased
Accessibility
Open weights (unrestricted)
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.