UbiOps Howto

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UbiOps is an AI infrastructure platform that enables rapid deployment and management of AI/ML workloads with automatic scaling, hybrid cloud support, and zero DevOps requirements.
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What is UbiOps
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How to Use UbiOps

Create a UbiOps account: Sign up for a free UbiOps account at ubiops.com
Install the UbiOps client library: Install the UbiOps Python client library using pip: pip install ubiops
Authenticate with UbiOps API: Obtain an API token from your UbiOps account and use it to authenticate: ubiops signin --token <YOUR_API_TOKEN>
Prepare your model code: Package your Python or R model code into a deployment-ready format
Create a deployment: Use the UbiOps UI or API to create a new deployment for your model
Upload your model code: Upload your packaged model code to the deployment you created
Configure deployment settings: Set input/output data types, instance type, scaling options etc. for your deployment
Deploy your model: Trigger deployment of your model to make it live and accessible via API
Make API requests: Use the generated API endpoint to make inference requests to your deployed model
Monitor and manage: Use the UbiOps dashboard to monitor usage, logs and manage your deployment

UbiOps FAQs

UbiOps is an AI infrastructure platform that helps teams quickly deploy and run their AI & ML workloads as reliable and secure microservices, without requiring extensive DevOps knowledge. It provides model serving, orchestration, and management capabilities.

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