Thinking Machines Lab

Inkling

Container

Thinking Machines Lab

Inkling

This NIM container houses Inkling model, which is a 66-layer decoder-only transformer with a sparse Mixture-of-Experts (MoE) feed-forward backbone, featuring 975B total parameters and 41B active parameters

NVIDIA NIM

Inkling Container Overview

Description:

This NIM container houses the Inkling model, which is a 66-layer decoder-only transformer with a sparse Mixture-of-Experts (MoE) feed-forward backbone, featuring 975B total parameters and 41B active parameters, supporting BF16, MXFP8, and NVFP4. The model accepts text, image, and audio inputs, and generates text outputs. Inkling was developed by Thinking Machines Lab Inc. as a part of Inkling.

The container components are ready for commercial or non-commercial use.

License/Terms of Use:

GOVERNING TERMS: The use of the NIM container is governed by the NVIDIA Software License Agreement. The use of the model is governed by the NVIDIA Open Model Agreement.ADDITIONAL INFORMATION: Apache License, Version 2.0.

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

Deployment Geography:

Global

Release Date:

HuggingFace: 07/15/2026 via URL.
NGC: 07/15/2026 via URL

Program Class:

This NIM Container houses the following model:

Model Name & Link	Use Case	How to Pull the Model
Inkling	Accepts text, image, and audio inputs to generate text outputs.	Automatic

Deployment Details:

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.

Models can be deployed via:

NIM container deployment

Container Version(s):

nvcr.io/nim/thinkingmachines/inkling:latest

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. 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.

Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.

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

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