Data and AI releases

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Redesigned Usage & Billing Page

PricingNot yet verified

The Usage & Billing page has been rebuilt to support usage attribution (the Settings "Overview" tab is now "Usage"). Filter by auth method, API key, and login username to attribute consumption to a specific credential or user. Normalized app names and revised charts improve readability and export.

PricingDeveloper tools

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Also shipped Jun 16, 2026fal in June 2026 →

Draft mode for V8.1 and new feature previews

Hi everyone - a few updates today! Draft mode for V8.1 Each draft mode generation creates 24 images at a lower resolution and quality. Click "Vary" on images you'd like to render at full-quality and full-resolution Draft jobs use half as many fast hours as V8.1 SD jobs (even though they generate 24 images!) Turn on draft mode by clicking the ⚡ button in the...

Preview
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Annotations clustering now generally available

Recently, we introduced several improvements to annotations to make them easier to explore, navigate, and manage at scale, including annotations clustering and indicator controls. These changes were introduced in public preview and now they are generally available. For more information about these changes, refer to the original announcement .

GA
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New Serverless Usage Page

The new Serverless Usage page (Serverless → Usage) provides attributable, dimensioned reporting of serverless compute spend in the dashboard. Compute reported in machine-seconds , broken down per app, environment, and machine type. Spend is split by price category: Reserve, Burst, On-Demand, and List.

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Serverless Usage API

- New GET /v1/serverless/usage endpoint reports your own serverless compute usage , the machine-seconds each of your deployed apps consumed, priced with your machine rates and net of discounts Break usage down per app, environment, and machine type, with time_series and summary views over any date range and timeframe Filter by app name with app (exact, one...

Update
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New Capacity Page

The new Capacity page (Serverless → Capacity) reports GPU consumption against your account limit, providing visibility into available headroom before requests begin queuing. Account-wide GPU usage over time, plotted against your limit , with baseline and burst reference lines indicating utilization relative to reserved capacity.

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Per-Condition Retry Configuration

The new X-Fal-Retry-Config request header replaces all-or-nothing retry behavior with a separate retry budget per failure condition, allowing retry policy to be tuned independently for each failure mode.

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Filter and Sort Apps

Managing a large number of serverless apps is now easier with new filtering and sorting controls directly on the apps page . Filter by machine type to instantly isolate apps running on specific hardware (e.g., H100, A100, L40) and monitor targeted resource allocation.

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Expanded Analytics Metrics

The GET /v1/models/analytics and GET /v1/serverless/analytics endpoints now support fourteen additional metrics via the expand parameter, matching the metric families the dashboard surfaces: Error type breakdown , startup_error_count , connection_error_count , timeout_error_count , runtime_error_count for finer-grained failure attribution beyond the...

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App-Level Retry Configuration

Apps can now register a default per-condition retry budget at deploy time with the new retry_config deployment option, using the same format as the X-Fal-Retry-Config request header. Set it as a class attribute on fal.App or under the app's table in pyproject.toml .

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Deploy Messages and Annotations

You can now attach a freeform message and custom annotations to each revision when deploying: Messages and annotations are set at deploy time and stay with the revision. View and search them on the app's Versions page in the dashboard, or fetch them via the revisions API .

Update
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