NVIDIA
NVIDIA
nemotron-3.5-lightning-30b-a3b
Container
NVIDIA
NVIDIA
nemotron-3.5-lightning-30b-a3b

The NVIDIA-Nemotron-3.5-Lightning-30B-A3B NIM container packages NVIDIA-Nemotron-3.5-Lightning-30B-A3B, a large language model trained by NVIDIA, as an NVIDIA NIM microservice.

NVIDIA-Nemotron-3.5-Lightning-30B-A3B NIM Overview

Description:

The NVIDIA-Nemotron-3.5-Lightning-30B-A3B NIM container packages NVIDIA-Nemotron-3.5-Lightning-30B-A3B, a large language model trained by NVIDIA, as an NVIDIA NIM microservice. The model uses a hybrid Latent Mixture-of-Experts architecture with interleaved Mamba-2 and Mixture-of-Experts layers, select Attention layers, and Multi-Token Prediction layers for faster text generation and improved quality. It has 30B total parameters, 3B active parameters, and supports context length up to 1M tokens. The container exposes industry-standard OpenAI-compatible APIs for integration into AI agent systems, chatbots, RAG pipelines, and other AI-powered applications.

The container components are ready for early access evaluation.

License/Terms of Use:

GOVERNING TERMS: Use of this container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for AI Products.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Deployment Geography:

Global

Release Date:

NGC 08/11/2026 via link

Program Classes:

The NVIDIA-Nemotron-3.5-Lightning-30B-A3B NIM Container includes the following model:

Model Name & LinkUse CaseHow to Pull the Model
NVIDIA-Nemotron-3.5-Lightning-30B-A3BGeneral-purpose reasoning and chat, AI agents, RAG pipelines, chatbots, coding assistance, and instruction-following in English, coding languages, Spanish, French, German, Italian, and JapaneseAutomatic (embedded in container)

Deployment Details:

Visit the NIM Container LLM page for release documentation, deployment guides, and more.

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Operating System: Linux

Reference(s):

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NVIDIA NIM documentation for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)

Publisher
NVIDIA
NVIDIA
LicenseNVIDIA proprietary
Latest Tag2.0.9-variant
UpdatedAugust 11, 2026 UTC
Compressed Size10.66 GB
Multinode SupportNo
Multi-Arch SupportYes

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