NVIDIA Morpheus (набор моделей)
An open NVIDIA bundle: a card-transaction graph plus a classifier, a profile of normal user behaviour, log parsing and root-cause search. A human makes the decision on a disputed operation; automatic blocking without review is not acceptable.
- Developer
- NVIDIA, USA
- First release
- Apr 2022
- Latest release
- Jun 2025
- Sizes
- from a few megabytes (tree-based models) up to BERT-based classifiers
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Finance, Security, Software development
What it does
- Highlighting suspicious card operations taking participant links into account
- Tracking deviations of an account from its usual behaviour
- Parsing logs and finding the root cause of an incident
- Checking emails for signs of a fraudulent campaign
Where it is used
Hardware requirements
Versions
- Morpheus 25.06
- Morpheus 25.02
- Morpheus 24.10
- Morpheus 23.03
- Morpheus 22.04, первый публичный выпуск
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can NVIDIA Morpheus (набор моделей) be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does NVIDIA Morpheus (набор моделей) need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does NVIDIA Morpheus (набор моделей) support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download NVIDIA Morpheus (набор моделей) and what does it cost?
The NVIDIA Morpheus (набор моделей) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
A pretrained model that finds anomalous nodes in a relationship graph and marks suspicious vertices on a new graph without training on it. A human makes the decision on a disputed operation; automatic blocking without review is not acceptable.
DetailsFinanceRevTrack / RevClassifyMIT and MIT-IBM Watson AI Lab · USACommercial use allowedModels that label suspicious chains of transfers by looking at who sent the money at the start of the chain and who received it at the end. A human makes the decision on a disputed operation; automatic blocking without review is not acceptable.
DetailsCybersecurityFoundation-SecCisco (Foundation AI) · USACommercial use with conditionsCisco models for information security based on Llama 3.1 8B: analysis of vulnerabilities, threats and incidents. Can be deployed inside your own perimeter.
DetailsSource: github.com/nv-morpheus/Morpheus/tree/branch-25.10/models. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


