AzeroGPT
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
- SoundAI
- Organisation type
- Industry
- Country
- China
- Published
- 1 December 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Speech, Multimodal, Language
- Task
- Image captioning, Speech-to-text, Chat, Language modeling/generation, Question answering, Code generation
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
100B
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 A800 PCIe
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
- Closed — provider access only
- Model access
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- SoundAI launches private deployment solution for large models, with 10 GPUs and 800GB of memory on a single machine significantly accelerating the speed of hundreds of billions of models.
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
AzeroGPT was published by SoundAI, in China, in December 2023. The organisation is categorised as industry.
It works in Speech, Multimodal, Language, and is recorded as doing image captioning, Speech-to-text, Chat, Language modeling/generation, Question answering, Code generation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
AzeroGPT — common questions
Who created AzeroGPT?
AzeroGPT was published by SoundAI, based in China, categorised as industry.
When was AzeroGPT released?
AzeroGPT was published in December 2023. 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 AzeroGPT used for?
AzeroGPT works in Speech, Multimodal, Language, and is recorded as handling image captioning, Speech-to-text, Chat, Language modeling/generation, Question answering, Code generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run AzeroGPT?
None. AzeroGPT 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 AzeroGPT open source?
No. AzeroGPT has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does AzeroGPT have?
AzeroGPT has 100B parameters. 100B. 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.