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Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs research paper by NVIDIA, 2025

NVIDIA · Nov 20, 2025 · Reasoning · 2 citations · 30 upvotes · unverified

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What it shows

Nemotron Elastic reduces training costs and memory usage by embedding multiple submodels within a single large language model, optimized for various deployment configurations and budgets without additional training or fine-tuning.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan and 13 more
arXiv
2511.16664 · PDF
Venue
arXiv.org
Citations
2, 0 influential · Semantic Scholar
Upvotes
30 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 2Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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