Amazon Nova Pro
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
- Amazon
- Organisation type
- Industry
- Country
- United States of America
- Published
- 3 December 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Video, Vision
- Task
- Language modeling/generation, Retrieval-augmented generation, Visual question answering, Image captioning, Video description, Character recognition (OCR), Code generation, Translation
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
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
- 6 × 10²⁴ FLOP
- How it was established
- Comparison with other models
"probably just below 1e25 stemming from the Llama 70B serving speed. If Llama 70B is trained proportionally to 405B, then it's at ~ 6.6e24. Nova Pro is served at 100tk/s, while Llama 70B is served at 70tk/s on average, and 100tk/s by together.ai at FP8. So Nova Pro would be >1e25 if they roughly 2x the amount of training compared to Llama 70B which [seems unlikely]"
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
- Amazon Trainium1,NVIDIA A100,NVIDIA H100 SXM5 80GB
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
- API access
- 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
- SOTA improvement
- Record confidence
- Speculative
"It achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX)."
Sources
Where this record came from and when it was last checked.
- Reference
- Introducing Amazon Nova foundation models: Frontier intelligence and industry leading price performance
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Amazon Nova Pro was published by Amazon, in the country recorded as United States of America, during December 2024. The category the publisher falls under is industry.
It works in the domain of Multimodal, Language, Video, Vision, and is recorded as performing the task of language modeling/generation, Retrieval-augmented generation, Visual question answering, Image captioning, Video description, Character recognition (OCR), Code generation, Translation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
The training run consumed about 6 × 10²⁴ FLOP, on hardware recorded as Amazon Trainium1,NVIDIA A100,NVIDIA H100 SXM5 80GB. That figure measures what producing the model cost, and has no bearing on how fast it answers.
It is tracked in the underlying dataset for one reason in particular: sOTA improvement.
Answers
Amazon Nova Pro — common questions
Amazon Nova Pro— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Amazon Nova Pro— 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.
Amazon Nova Pro— who created it?
It was published by Amazon, based in United States of America, an organisation categorised as industry.
Amazon Nova Pro— when was it released?
It was published in December 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.
Amazon Nova Pro— what is it used for?
It works in the domain of Multimodal, Language, Video, Vision, and is recorded as handling the task of language modeling/generation, Retrieval-augmented generation, Visual question answering, Image captioning, Video description, Character recognition (OCR), Code generation, Translation. These are the areas it was designed around; they describe intent rather than a hard boundary.
Amazon Nova Pro— how much compute was used to train it?
Training consumed around 6 × 10²⁴ FLOP, on hardware recorded as Amazon Trainium1,NVIDIA A100,NVIDIA H100 SXM5 80GB. 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.
Amazon Nova Pro— 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.
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.