Release 11.3 | Clarifai Docs
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Release Date: April 3rd, 2025
| 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. |
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| 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. |
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| 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. |