HOGWILD!
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
- University of Wisconsin Madison
- Organisation type
- Academia
- Country
- United States of America
- Published
- 11 November 2011
- Authors
- F Niu, B Recht, C Ré, SJ Wright
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Other
- Task
- Text classification
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
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 2,356
Sources
Where this record came from and when it was last checked.
- Reference
- HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- Last updated
- 25 May 2026
What the numbers mean
Where it came from
HOGWILD! was published by University of Wisconsin Madison, in United States of America, in November 2011. The organisation is categorised as academia.
It works in Other, and is recorded as doing text classification.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
HOGWILD! — common questions
What is HOGWILD! used for?
HOGWILD! works in Other, and is recorded as handling text classification. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run HOGWILD!?
None. HOGWILD! 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 HOGWILD! open source?
The licensing for HOGWILD! 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 HOGWILD! have?
No parameter count has been published for HOGWILD!, which is why no memory or speed figure appears on this page.
Who created HOGWILD!?
HOGWILD! was published by University of Wisconsin Madison, based in United States of America, categorised as academia.
When was HOGWILD! released?
HOGWILD! was published in November 2011. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
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.