Aramco Metabrain 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
- Saudi Aramco
- Organisation type
- Industry,Government
- Country
- Saudi Arabia
- Published
- 4 March 2024
- Authors
- Saudi Aramco
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- 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
- 250B
- Training data
- 7,000,000,000,000 tokens
"It has 250 billion parameters that are adjustable during training to generate outputs or make predictions."
Training compute
The arithmetic performed to train the model, measured in floating-point operations. It is a measure of what the training run cost, not of how fast the finished model answers you.
- Training compute
- 1 × 10²⁵ FLOP
- How it was established
- Operation counting
6*250B*7T=1.05e+25
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.
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- Training cost
- Record confidence
- Likely
Sources
Where this record came from and when it was last checked.
- Reference
- Saudi Aramco unveils industry’s first generative AI model
- Last updated
- 28 November 2025
What the numbers mean
Background
Aramco Metabrain AI was published by Saudi Aramco, in Saudi Arabia, in March 2024. It comes out of industry,Government.
It works in Language, and is recorded as doing language modeling/generation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Training and provenance
The training run consumed about 1 × 10²⁵ FLOP. That figure describes the cost of creating it and has no bearing on how quickly it generates text.
Around 7,000,000,000,000 tokens went into training it.
It is tracked in the underlying dataset for one reason in particular: training cost.
Answers
Aramco Metabrain AI — common questions
When was Aramco Metabrain AI released?
Aramco Metabrain AI was published in March 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 Aramco Metabrain AI used for?
Aramco Metabrain AI works in Language, and is recorded as handling language modeling/generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
How much compute was used to train Aramco Metabrain AI?
Around 1 × 10²⁵ FLOP. That measures what producing the model cost and says nothing about how quickly it answers once trained — inference speed comes from memory bandwidth, not from the training budget.
What GPU do I need to run Aramco Metabrain AI?
None. Aramco Metabrain 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 Aramco Metabrain AI open source?
No. Aramco Metabrain AI has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Aramco Metabrain AI have?
Aramco Metabrain AI has 250B parameters. "It has 250 billion parameters that are adjustable during training to generate outputs or make predictions.". 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.
Who created Aramco Metabrain AI?
Aramco Metabrain AI was published by Saudi Aramco, based in Saudi Arabia, categorised as industry,Government.
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.