SHIFT-SUV

Open weights Luminary Cloud,NVIDIA,Honda April 2025

No estimate

No hardware requirements for this model

This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
Luminary Cloud,NVIDIA,Honda
Organisation type
Industry,Industry,Industry
Country
United States of America, Japan
Published
9 April 2025

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
3D modeling
Task
Aerodynamics simulations

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
tokens

"At launch, the SHIFT-SUV model is trained on approximately one thousand simulations, with a goal of advancing to 25,000 by the end of the year."

Availability

Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.

Weights
Open — downloadable
Model access
Open weights (non-commercial)
Training code
Unreleased

The model is described as open source for non-commercial purposes but it requires filling a form to access it https://shift.luminarycloud.com/

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
Luminary Cloud Unveils First Physics AI Open-Source Automotive Foundation Model for SUV Aerodynamics in Collaboration with Honda and NVIDIA
Last updated
28 November 2025

What the numbers mean

Where it came from

SHIFT-SUV was published by Luminary Cloud,NVIDIA,Honda, in United States of America, in April 2025. It comes out of industry,Industry,Industry.

It works in 3D modeling, and is recorded as doing aerodynamics simulations.

The weights being open is what puts this page in the calculator rather than only in the catalogue: it is a model you can actually hold.

Answers

SHIFT-SUV — common questions

01

Is SHIFT-SUV open source?

Its weights are published, so SHIFT-SUV can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.

02

How many parameters does SHIFT-SUV have?

No parameter count has been published for SHIFT-SUV, which is why no memory or speed figure appears on this page.

03

Who created SHIFT-SUV?

SHIFT-SUV was published by Luminary Cloud,NVIDIA,Honda, based in United States of America, categorised as industry,Industry,Industry.

04

When was SHIFT-SUV released?

SHIFT-SUV was published in April 2025.

05

What is SHIFT-SUV used for?

SHIFT-SUV works in 3D modeling, and is recorded as handling aerodynamics simulations. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

06

Where can I download SHIFT-SUV?

The weights for SHIFT-SUV are published, though we do not hold a repository link for it. This site calculates hardware requirements rather than hosting model files.

07

What GPU do I need to run SHIFT-SUV?

We cannot say. SHIFT-SUV has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.