Releasesby GlyphGPU Utilization in Runner Telemetry
Runner telemetry now includes a dedicated GPU Utilization chart alongside the existing CPU, memory, and VRAM charts, so you can see how much compute your GPUs are actually doing -- not just how much memory they hold.
Also shipped Aug 4, 2026fal in August 2026 →
Workspace sharing in Declarative Native Apps (Public Preview)
Workspace sharing is now available in public preview for Declarative Native Apps. Providers can share a whole directory of files and folders by declaring a workspace in the application package manifest. Consumers get a read-only workspace when they install the app, and can browse the folder structure and open the files.
Gateway Monitoring & A/B Testing (General availability)
Gateway Monitoring & A/B Testing is now generally available. Use gateway model monitors to track drift and performance for inference services behind a Snowflake Gateway, compare baseline and challenger services during live traffic splits, and evaluate results in Snowsight or with SQL. For more information, see Gateway monitoring & A/B testing .
Multi-party Approval (General availability)
Multi-party Approval (MPA) is now generally available. When a Multi-party Approval policy is attached to your account, MPA enforces a mandatory second-person (“four-eyes”) verification step for critical account operations. A Multi-party Approval policy defines which operations require approval and who can approve them.
Unity Gateway is now generally available
Unity Gateway is now generally available. Unity Gateway is the Databricks governance solution for enterprise AI, part of Unity Catalog. With Unity Gateway you can: Control which AI services teams can use. Route and manage AI traffic across providers. Govern MCP servers to control access and costs. Monitor usage, cost, access, and lineage from one place.
Sharing Delta tables with Iceberg reads enabled is now generally available
Sharing Delta tables with Iceberg reads enabled is now generally available. See Delta Lake feature support matrix .
Sharing Delta tables with deletion vectors and column mapping is now generally available
Sharing Delta tables with deletion vectors or column mapping enabled is now generally available. See Add tables with deletion vectors or column mapping to a share .
More from falEvery fal release →
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 .
Platform MCP Server
fal's second MCP server , the Platform API MCP , is now available at https://api.fal.ai/v1/mcp/platform . Where the Run MCP lets your AI assistant build with models , this one lets it operate your fal account : connect Claude Code, Cursor, or any MCP-compatible client with your API key and ask "why did my last request to my-app fail?" , your assistant walks...
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 .
Switch Between App Endpoints in the Dashboard Playground
Deployed Serverless apps now include Testing > Playground in the app dashboard. Select an available endpoint, fill in its generated input form, and run a request without leaving the app. Multi-endpoint apps have one place to test their endpoints, using the existing Playground authentication and billing behavior. Open the guide
Billing Headers for WebSocket Endpoints
Shared WebSocket endpoints can now declare billing on their 101 upgrade response. Set x-fal-billable-units when the unit count is known at connect time. Set x-fal-billable-units-webhook to 1 when the count is only known at the end of the session. Then report the total with POST /requests/billable-units/{request_id} .
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.
Redesigned Usage & Billing Page
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.
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...