Release 11.3

Release Date: April 3rd, 2025

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New Feature	Improvement	Bug Fix	Enterprise Only

Compute Orchestration

Status	Change	Details
	Introduced Compute Orchestration	You can now easily deploy any model, on any compute, at any scale. These capabilities allow you to optimize your AI compute, avoid vendor lock-in, and control spend more efficiently. Introduced the "compute time" billable item to support this functionality. Learn more about it here.

AI Playground

Status	Change	Details
	Introduced the AI Playground	The Playground interface is a testing battleground that allows you to quickly interact with powerful AI models without additional setup. Try it here.

Labeling Tasks

Status	Change	Details
	Upgraded the Labeling Tasks UI tool	We upgraded the task labeling experience. This upgrade unifies task labeling with the same underlying components from our single Input-Viewer tool, ensuring a seamless and unified experience for users.

Platform

Status	Change	Details
	Introduced a redesigned homepage to help you get started with the Clarifai platform quickly	You can easily find trending AI models, test them in a playground, set up your computing infrastructure, browse your apps, and more — all in one place. You can also customize your homepage layout using the "Configure Home" button in the upper-right corner.
	Made platform improvements	Introduced a new Infrastructure Manager role, allowing users to create, modify, and delete clusters and nodepools within an organization. Removed the automatic app onboarding flow for new users upon signup. Apps are no longer required for certain actions, such as making deployments with Compute Orchestration. We now automatically fetch a user's full name after signing up with SSO via Google or GitHub, eliminating the need to manually enter it during the signup flow. We improved the "Member Since" column in the organization members list table. It now displays when a member joined the organization, rather than when they assumed their current role. We restricted access to the organization members list to admins only.
	Fixed platform bugs	Fixed an issue where users experienced an error when logging into the Clarifai platform due to a broken login state. Fixed an issue that caused certain app overview pages to crash. Fixed an issue where a disruptive top header appeared during the onboarding signup flow for new users. Fixed an issue in the onboarding signup flow where the job role and country dropdowns were appearing behind the "Complete your profile" modal. Fixed an issue where some model prices were displayed correctly when logged in but appeared as 0 when logged out. Fixed an issue where clicking the "Select All Scopes" button when creating a PAT or adding an app contributor did not select the "Deployment" package.

Control Center

Status	Change	Details
	Improved the Control Center	Refined table layouts for improved clarity and readability. Introduced a new multi-column tooltip for charts, enhancing data visibility and readability. Fixed a color inconsistency where the tooltip card displayed an incorrect color when hovering over chart elements. The tooltip now accurately reflects the corresponding chart segment color. Fixed an issue where the usage dashboard failed to correctly report costs for deleted models.

Python SDK

Status	Change	Details
	Improved the Python SDK. Learn more here.	Removed HF loader config.json validation for all Clarifai model type IDs. Added regex patterns to filter checkpoint files for download. Implemented validation for CLI configuration. Fixed Docker image name and introduced the skip_dockerfile option in the test-locally subcommand of the Model CLI. Enhanced the CLI login module for better authentication. Updated the CLI to enable local model testing without requiring remote access. Modified the default value of the num_threads field for optimized performance. Dropped support for Python 3.8, 3.9, and 3.10 in testing. Updated deployment testing configurations. Removed the model_path argument from the CLI. Added configuration for multi-threaded runners to improve execution efficiency.