TimeGPT-1
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
- Nixtla
- Organisation type
- Industry
- Country
- United States of America
- Published
- 27 May 2024
- Authors
- Azul Garza, Cristian Challu, Max Mergenthaler-Canseco
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Other
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
"TimeGPT was trained on, to our knowledge, the largest collection of publicly available time series,collectively encompassing over 100 billion data points."
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 A10G
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
- TimeGPT-1
- Last updated
- 28 November 2025
What the numbers mean
Background
TimeGPT-1 was published by Nixtla, in the country recorded as United States of America, during May 2024. The publishing organisation is categorised as industry.
It works in the domain of Other.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
TimeGPT-1 — common questions
TimeGPT-1— who created it?
It was published by Nixtla, based in United States of America, an organisation categorised as industry.
TimeGPT-1— when was it released?
It was published in May 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.
TimeGPT-1— what is it used for?
It works in the domain of Other. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
TimeGPT-1— what GPU do I need to run it?
None. This 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.
TimeGPT-1— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
TimeGPT-1— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
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.