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Llama Nemotron Ultra 253B vs PaLM 2

vs
Google
PaLM 2
May 2023
3.9×10²⁵Training compute (FLOP)7.3×10²⁴
--Training cost$5M

Llama Nemotron Ultra 253B (NVIDIA) and PaLM 2 (Google) are both frontier AI models. Llama Nemotron Ultra 253B was published in March 2025 and PaLM 2 in May 2023.

Llama Nemotron Ultra 253B was trained on 3.9×10²⁵ FLOP, about 5.3x the compute of PaLM 2 at 7.3×10²⁴ 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
NVIDIA
Organization
Google
Mar 18, 2025
Published
May 10, 2023
3.9×10²⁵ FLOP
Training compute5.3x
7.3×10²⁴ FLOP
253B
Parameters1.3x
340B
603B
Dataset size6.0x
3.6T
--
Training hardware
Google TPU v4
--
Training cost (2023 USD)
$5M
Open weights (restricted use)
Accessibility
API access
Yes
Open weights
No
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.