Xingrui AI (星睿AI)
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
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
- Geely Automobile Research Institute (Ningbo) Company
- Organisation type
- Industry
- Country
- China
- Published
- 5 January 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Robotics, Multimodal, Language, 3D modeling
- Task
- Self-driving car, Question answering, Recommender system, Object recognition, Language modeling/generation, 3D reconstruction
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.
- Parameters
- 100B
- Training data
- tokens
over 100B parameters
more than 3 trillion tokens (unsure where it comes from - cannot find the source)
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA H800 SXM5,NVIDIA A800 SXM
- Data centre
- Geely Xingrui intelligent computing center
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Likely
Sources
Where this record came from and when it was last checked.
- Last updated
- 11 February 2026
What the numbers mean
Background
Xingrui AI (星睿AI) was published by Geely Automobile Research Institute (Ningbo) Company, in China, in January 2024. It comes out of industry.
It works in Robotics, Multimodal, Language, 3D modeling, and is recorded as doing self-driving car, Question answering, Recommender system, Object recognition, Language modeling/generation, 3D reconstruction.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Xingrui AI (星睿AI) — common questions
Who created Xingrui AI (星睿AI)?
Xingrui AI (星睿AI) was published by Geely Automobile Research Institute (Ningbo) Company, based in China, categorised as industry.
When was Xingrui AI (星睿AI) released?
Xingrui AI (星睿AI) was published in January 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Xingrui AI (星睿AI) used for?
Xingrui AI (星睿AI) works in Robotics, Multimodal, Language, 3D modeling, and is recorded as handling self-driving car, Question answering, Recommender system, Object recognition, Language modeling/generation, 3D reconstruction. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Xingrui AI (星睿AI)?
None. Xingrui AI (星睿AI) is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Xingrui AI (星睿AI) open source?
The licensing for Xingrui AI (星睿AI) was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Xingrui AI (星睿AI) have?
Xingrui AI (星睿AI) has 100B parameters. over 100B parameters. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
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.