Deploy, serve and orchestrate AI models on any infrastructure
The right foundation for your next AI project.
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AI model deployment, inference and orchestration
Deploy your AI models as reliable, scalable services on any infrastructure with minimal engineering and maintenance.
UbiOps is packed with orchestration and MLOps functionalities to easily run and manage your AI workloads. Including a model catalog, versioning, scaling algorithms, API management, resource prioritization, workflow builder, detailed logging, custom monitoring, security, and access management.
All the features to take your AI solution to the next level
Production-grade AI model deployment
UbiOps solves one of the most essential engineering challenges for AI teams: Ensuring AI solutions can move beyond a proof of concept into a running and scalable application.
MLOps: Machine Learning Operations
Out of the box functionalities to easily run and manage your AI workloads, including a model catalog, seamless deployment and rollback Including model version management, dependency management, monitoring, auditing, security, team collaboration and governance.
Run across local, cloud & hybrid-cloud environments
The UbiOps control plane provides teams independence and flexibility by abstracting multiple (cloud and local) compute environments and hardware types into one pool of compute resources to run workloads on.
Build live, modular AI pipelines
UbiOps offers a unique workflow management system (pipelines) to allow the development and deployment of modular AI applications. Each workflow gets its own unique API and each object in a workflow is an isolated service that scales independently.
Run across local, cloud & hybrid-cloud environments
Connect multiple compute environments
The UbiOps control plane provides teams independence and flexibility by abstracting multiple cloud and local compute environments and hardware types into one pool of compute resources to run AI models.
The UbiOps control plane takes care of workload orchestration, capacity management and dynamic automatic scaling across infrastructures.
Automated, smart scaling of workloads
Cost-effective model inferencing and training
UbiOps takes care of automatic scaling of your models, including scale-to-zero, traffic load balancing and API management.
Deploy LLMs and AI models as scalable inference APIs and offload long-running training jobs to powerful cloud hardware, all the while only paying for the time your models are active.
Build reliable and compliant AI applications with real-time insights & governance
Improve security and privacy
Control how data is processed, where it is processed and whether data is stored on the platform. Your data, your rules.
Robust security features
UbiOps provides robust security features such as end-to-end encryption, secure data storage, and access controls, which can help businesses comply with data privacy regulations such as GDPR.
Usage and performance metrics
Check if there are any issues with your deployments. Set alerts and notifications.
Build live, modular workflows
Create modular applications by re-using and combining multiple deployments in a workflow.
Multiple models, one AI application
Each workflow gets its own unique API and each object in a workflow is an isolated service that scales independently.
Live data flows, update without downtime
Funnel data through all your deployments or bypass deployments. Embed sub-pipelines or add conditional logic to data flows. Simply drag and drop.
Easy drag & drop interface
Import or export pipelines directly and share them with your colleagues or other users.
Add logic and operators to your flow
Use pre-built operators to help guide and modify data running through your workflows. Customize inputs for each deployment by splitting and reassembling data.
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