Deploy your Computer Vision models with UbiOps
Save significantly on cloud costs. Scale with use. Start today.
Improving crop yield with UbiOps at Bayer
On-demand serverless GPU inferencing for computer vision workloads with Bayer Crop Science.
“The on demand offering of UbiOps ensures that there’s GPU availability, with the option to scale very rapidly. Also, with UbiOps’ scale-to-zero functionality we don’t need to pay for GPU resources if the application is not being used, e.g., off-season.”
Dr. Alexander Roth
Head of Engineering – Digital Crop Protection at Bayer
Accelerating medical breakthroughs with UbiOps at Ellogon.AI
Improving patient diagnoses in a fraction of the time with Ellogon.AI
Facilitating civil infrastructure inspection with UbiOps at DroneView
Processing large volumes of unstructured data with DroneView
“UbiOps is a fantastic company and great to work with. We use their platform for our image recognition algorithms. It enables us to take advantage of the fast GPU processing power that we need to run our algorithms in an on-demand environment. We calculated that the time-to-market is eight times faster thanks to UbiOps.”
Co-founder – DroneView
Pioneering AgriTech innovation with UbiOps at Ridder
Leveraging UbiOps pipelines to provide groundbreaking AI solutions for greenhouses with Ridder
“The collaboration with UbiOps was an important step. I recreated the pipeline that I had running on my own laptop on the platform. That was very easy to do: upload the Python code, then the UbiOps platform builds a docker around it. If your Python code works locally, it works in UbiOps too.”
Wilmar van Ommeren
Product Innovator – Innovation Team Ridder
Cutting-edge agricultural image analysis with UbiOps at Pheno-Inspect
Seamlessly managing hundreds of models from a central control plane with Pheno-Inspect
Enabling Computer Vision Applications Across 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.
Run and manage AI at scale
The Fastest Route to Production-grade ML / AI Workloads
On Demand Auto-scaling
We deliver best-in-class orchestration capabilities that offer fully serverless inferencing using GPU and CPU, scaling to and from zero instances, saving a lot of costs to run and manage your models.
Faster time-to-value for your AI solution
Our easy-to-use and scalable solution enables data science teams to train and build models in a few clicks without worrying about underlying infrastructure or DevOps, considerably reducing time-to-market for your AI products and services.
Multi-cloud/On-prem access from a single UI
Prevent vendor lock-in by using any cost-effective cloud providers. Use your local infrastructure from the same control plane. You decide where data resides and compute happens.
UbiOps is rated highly for its usability and simplicity, allowing teams to train and operationalize their ML models within hours, without any hassle. And with our pipeline GUI, you’ll be constructing advanced ML workflows in no time.