Intel Aurora 1T

Closed weights Intel,Argonne National Laboratory 1T parameters November 2023

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
Intel,Argonne National Laboratory
Organisation type
Industry,Government
Country
United States of America
Published
13 November 2023
Authors
Intel

What it does

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

Domain
Language
Task
Language modeling, Language modeling/generation
Approach
Supervised

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
1T

1T

Training data
tokens

The training run

What it physically took to train: which chips, how many, for how long, and what that drew from the wall.

Data centre
Aurora supercomputer

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
Training code
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
Intel SC23 Update: 1-Trillion Parameter AI Model Running on Aurora Supercomputer, Granite Rapids Benchmarks
Last updated
28 November 2025

What the numbers mean

Where it came from

Intel Aurora 1T was published by Intel,Argonne National Laboratory, in the country recorded as United States of America, during November 2023. The category the publisher falls under is industry,Government.

It works in the domain of Language, and is recorded as performing the task of language modeling, Language modeling/generation.

Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.

Answers

Intel Aurora 1T — common questions

01

Intel Aurora 1T— what is it used for?

It works in the domain of Language, and is recorded as handling the task of language modeling, Language modeling/generation. 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.

02

Intel Aurora 1T— 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.

03

Intel Aurora 1T— is it open source?

No. Its weights have not been published, so it exists only as a service controlled by its owner.

04

Intel Aurora 1T— how many parameters does it have?

It has a parameter count of 1T. 1T. 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.

05

Intel Aurora 1T— who created it?

It was published by Intel,Argonne National Laboratory, based in United States of America, an organisation categorised as industry,Government.

06

Intel Aurora 1T— when was it released?

It was published in November 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.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

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