Computer Vision

Run and manage your computer vision application with speed, scale, simplicity.
- Run your private computer vision workloads on any infrastructure from a single control plane: on-premise, hybrid and multi-cloud.
- Build modular applications and parallel processing workflows with a streamlined pipeline engine.
- Use pre-built operators to guide, transform, split, and reassemble data between each deployment.
- Experience super fast unstructured data handling with integrated object storage.
- Make use of UbiOps different scaling algorithms to optimize for demand, latency and costs.
Save on compute costs with rapid auto- and zero-scaling. Run local, hybrid or multi-cloud. Use bare metal, VMs or Kubernetes.




Enabling Computer Vision Applications Across Vital Industries
Automate your Computer Vision workflows
Automate your computer vision workflows by funneling image and video data through customizable pipelines with drag-and-drop simplicity. Get the most out of GPU parallel processing by using pre-built operators to guide, transform, split, and reassemble data between each deployment.
Bring your own computer vision toolbox
Develop computer vision models in PyTorch or TensorFlow, optimize image processing with OpenCV, and seamlessly deploy it all through UbiOps without changing your workflow. Smoothly transition from model development to application deployment, no matter your CV workbench.
Scale your workloads effortlessly
Don’t let scalability concerns hold you back. UbiOps offers rapid, adaptive scaling for your computer vision models, ensuring low-latency responses even during traffic spikes.
Integrate with your CI pipelines
Integrate deployment to UbiOps seamlessly with CI tools like GitHub Actions and GitLab Pipelines, employ our versatile API library for automation, and enjoy robust version control, rollback options, and extensive monitoring and logging features for constant enhancements.