How do I know if Modal is down?

Verify Modal status by: 1) Running a small modal run or modal deploy command, 2) Checking the Modal status page and dashboard, 3) Searching "Modal down" on X/Twitter, or 4) Using API Status Check to monitor your deployed Modal web endpoints.

Is Modal down or is my function just cold starting?

A slow first request is often a cold start, not an outage — Modal spins containers down when idle. If subsequent requests still fail or deploys hang, check the Modal status page to confirm a real incident.

What should I do when Modal is down?

Check the status page first, then retry deploys after a short wait, request a different GPU type if capacity is the issue, and keep keep_warm containers configured for latency-sensitive endpoints.

Can I monitor Modal web endpoints automatically?

Yes. API Status Check monitors your deployed Modal web endpoints and functions, sending instant alerts the moment they stop responding.

Is Modal Down? How to Check Modal Status in 2026

Q: Why does Modal go down?

Modal incidents are usually caused by GPU capacity constraints for a specific class (like A100 or H100), control-plane issues affecting deploys and scheduling, image build failures, or upstream cloud provider outages.

Your Modal deploy hangs, or a web endpoint that worked an hour ago starts returning errors. Before you tear apart your own code, the right question is: is Modal down, or is it just me?

Modal is a serverless platform for running Python functions, GPU jobs, and AI inference in the cloud without managing infrastructure. Because it autoscales containers and shares GPU capacity, failures can come from the control plane, capacity limits, or just a cold start that looks like an outage.

This guide shows you the fastest ways to confirm a Modal incident and keep your jobs running.

How to Check if Modal is Down (Fastest Methods)

Use these proven methods to verify a Modal outage instead of guessing:

1. Run a Quick Command

The fastest test is a tiny modal run or modal deploy. If the CLI hangs or errors against the control plane, that points to a platform issue rather than your function.

2. Check the Status Page and Dashboard

Open Modal's status page and your dashboard. Stuck deployments or posted incidents confirm a platform-wide problem.

3. Rule Out a Cold Start

Modal scales idle containers to zero, so the first request after inactivity can be slow. If a second call succeeds, it was a cold start — not an outage.

4. Use API Status Check

For continuous tracking, API Status Check monitors your deployed Modal web endpoints and alerts you the moment they stop responding.

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Why Does Modal Go Down?

Serverless GPU platforms have failure points that classic servers don't:

GPU Capacity Limits: A specific GPU class like A100 or H100 can be temporarily unavailable, leaving jobs queued.
Control-Plane Incidents: If the scheduler or API has issues, deploys hang and functions fail to start even though compute is healthy.
Image Build Failures: A broken dependency or registry hiccup during image build can block your app from deploying.
Upstream Cloud Outages: Modal runs on cloud infrastructure, so a regional provider incident can cascade into your jobs.

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Modal Troubleshooting Checklist

Step 1: Confirm Scope

Does the CLI fail too, or only your web endpoint? CLI failures point to the platform.
Is one GPU type affected, or all of them? A single class usually means capacity.
Did a recent deploy change your image? Roll back to isolate the cause.

Step 2: Reduce Cold Starts

Configure keep_warm containers or a minimum concurrency for latency-sensitive endpoints so the first request after idle does not time out.

Step 3: Retry and Fall Back

Add retries for transient capacity errors, and consider a fallback GPU type or provider for jobs that absolutely must run during a Modal incident.

Conclusion: Stay Ahead of Infrastructure Outages

Serverless GPU platforms are now core infrastructure for AI products. When Modal stalls, your jobs and endpoints stall with it. The best defense is monitoring that catches a failing endpoint before your users report it.

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