Model training
Trained models for your data, with the evidence of what they learned.
AI Development
PyTorch development services beside our Python and AI work
We have no published PyTorch build. Our AI product calls a model API and our back end runs Python 3.13, and we say plainly that neither trains a model.
0Published builds on PyTorch
2.15Minor release scheduled for 28 Oct 2026
2.14Previous minor, 2 Sep 2026
Not EOLPython versions PyTorch supports
What we build
What we would take on with PyTorch
Model serving behind APIs
A FastAPI service in front of a model, as on our Python builds.
Container images
Docker multi-stage builds for model services.
Upgrades
Moves between PyTorch minors and the Python versions they support.
Architecture
Where PyTorch would sit
A model in the slot our AI product fills
Clients
React 19 appAccount briefs and grades
API
FastAPIPython 3.13
Model
PyTorch modelWhere it would sit
Claude-compatible APISales OS, today
Delivery
Docker ComposeMulti-stage build
Illustration. A dashed outline marks where the technology would sit. We have no published build on it.
Versions
PyTorch releases in 2026
The latest minor releases
8 Jul 2026
PyTorch 2.13
A minor release on the project schedule.
2 Sep 2026
PyTorch 2.14
The previous minor release.
28 Oct 2026
PyTorch 2.15
Scheduled on the project page, which calls future dates tentative.
Source: PyTorch RELEASE.md on GitHub, checked 3 November 2026. PyTorch supports all minor versions of CPython that are not end of life, and the latest two CUDA minor versions.
Builds
The closest builds we can show you
AI product, in-house
Sales OS
Python 3.13 and FastAPI with an AI engine that crawls a site and writes a graded brief through a Claude-compatible API.
40 accountsAbout 26 hours of reading a week replaced by 40 credits
Logistics, fleet operations
TruckFleet Labs
A Python 3.13 back end on FastAPI with telematics ingest and PostGIS.
38Drivers on the app by week three
Fit check
When PyTorch is the right call
Pick PyTorch when
- You need a model trained on your own data
- Your team already works in PyTorch
- Predictions must run inside your own cloud
Look elsewhere when
- You need a published PyTorch build to inspect, which we do not have
- A model API already answers the question, as in Sales OS
- You have no labelled data yet
Explore
Same job, other tools
Pairs with
Where we used it
Stack
What PyTorch usually sits beside
Python
TensorFlowDocker
Kubernetes
scikit-learn
OpenCVFAQs
What buyers ask first
Which PyTorch version is current?
The project schedule lists PyTorch 2.15 for 28 October 2026 and 2.14 for 2 September 2026. It calls future dates tentative.
Do you have a published PyTorch build?
No. We say so on the first call and show the nearest work, which is a Python 3.13 back end and an AI product that calls a model API.
Which Python versions does PyTorch support?
All minor versions of CPython that are not end of life. Python 3.10 reached end of life on 1 October 2026.
Who owns the code and the cloud accounts?
You do, from the first commit. Repositories and cloud accounts stay in your name.
Tell us what your model has to predict
Thirty minutes on your data, your labels and your cloud. No sales pitch.