NVIDIA Nemotron

NVIDIA's open-weight LLM family

LLMs & Chat Open Source Has API Open Source
Researched · Published
RECATOOLS Score
7.3 / 10
Capability
8
Value for money
7
Ease of use
5
ASEAN readiness
6
API quality
7
Founded
2024
HQ
Santa Clara, California, USA
Users
Launched
Developer

Overview

Nemotron is NVIDIA's open-weight LLM family — particularly the Nemotron-340B-Reward and Llama-Nemotron variants. Released as open weights to drive adoption of NVIDIA NIM microservices and training stacks.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
Free
Free tier with core features.

Use cases

Open-weights deployment NIM microservices Enterprise self-hosting
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ASEAN Perspective

NVIDIA Nemotron in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

NVIDIA Nemotron is a family of open foundation, instruct, and reward models tuned for enterprise use, reasoning, and agentic workflows, with strong tie-ins to NVIDIA's NIM microservices and inference stack. Releases like the Llama-Nemotron and Nemotron reward models have been well regarded, and open weights plus permissive terms make them attractive for teams building on NVIDIA hardware.

It suits enterprises and ML teams already invested in NVIDIA GPUs/NIM who want optimized, deployable open models and synthetic-data/alignment tooling. Caveats: real value is highest inside the NVIDIA ecosystem, deployment assumes serious GPU infrastructure and MLOps skill, and the lineup evolves quickly so version selection matters. As a model family rather than a turnkey app, ASEAN readiness comes down to your own hosting region.

Independent AI-assisted assessment by RECATOOLS.

About this listing

Researched on
Published on

This entry was compiled from publicly available data including NVIDIA Nemotron's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with NVIDIA Nemotron unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to NVIDIA Nemotron directly →

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