Intel® Tiber™ AI Studio delivers an AI OS built to actualize the AI-driven enterprise at scale. Intel® Tiber™ AI Studio is a compute-agnostic MLOps platform that offers a unified control plane to orchestrate all AI jobs and manage data science workflows at scale. Built by data scientists, for data scientists, Intel® Tiber™ AI Studio is the only solution that provides a code-first platform to manage, build and automate large-scale models in production. Built on Kubernetes, Intel® Tiber™ AI Studio is container based and integrates easily into existing IT and data science workflows.
MANAGE
Organize data science from research to production
End-to-end Manage the full data science process all the way from business understanding to deployment
Standardize Make your data science scalable with standardized workflows instead of closed silos
Collaborate Unify data science teams with a clear and collaborative management environment
TRACK DATA SCIENCE
Store, manage and track models and experiments
Real-time visualization Visually track models as they run with automatic charts, graphs and more, and easily share with your team
Model repository Store models and meta-data, including parameters, code version, metrics and artifacts
100% reproducible Track changes and automatically record code and parameters for easily reproducible data science
DEPLOY
Instantly deploy AI models to production
Production ready Deploy your models at hyperspeed with autoscale and advanced built in monitoring capabilities
Model health alert Track models in real time and receive alerts when model is in poor health
Model command Retain control of your model from research to deployment without contacting IT
AUTOMATE WITH FLOWS
Build production ready machine learning pipelines in a few clicks
Drag & drop Build ML pipelines with beautiful and easy to understand visuals
Rapid experimentation Automatically optimize to your data with built in hyperparameter search capabilities
Share & re-use Create pipelines and share with your organization for easy reuse of algorithms & recipes
DATA REPOSITORY
Store and manage your machine learning datasets
Easy access Access all of your teams data in one central hub
Support all data types Import data in any format and integrate it into any experiment or analysis session
Machine learning ready Manage datasets with tagging, automated versioning and querying capabilities
RESOURCE MANAGEMENT
Manage your AI infrastructure stack in one place
Visibility & Control Maximize server utilization across all ML runs with a 360-view of your entire AI infrastructure stack by project, workload, container and run
Hybrid Cloud Utilization Increase Multi-cloud/Hybrid-cloud and on-premise utilization with extensive resource management and cluster orchestration
Dynamic Orchestration Control and allocate resources in real time container and cloud-native architecture that allows self-service of AI workloads and meta scheduling of jobs in a single click