Service degradation
Fireworks AI reports service degradation that affects deployment creation, dedicated training, and batch inference services. Fireworks AI identified the problem and continues to work on a fix. The outage started on 30 October 2026 and is not resolved.
A language model wrote this summary from the updates of Fireworks AI.
State
Identified
Started
1 d ago
2026-10-30 20:51 UTC
Ongoing for
31 h 17 min
Worst impact
Notice
Timeline
1 updateIdentified
31 h 17 min 100%
Updates
Times in UTCAs posted by Fireworks AI
We are experiencing service degradation impacting deployment creation, dedicated training, and batch inference services. We are working to resolve these issues and will provide updates here.
Fireworks AI in the last 90 days
Full historyIncidents in 90 days
2
Days with an incident
3
Median duration
14 min
This incident
136× the median
Other Fireworks AI incidents
All incidentsFollow Fireworks AI
Your coding agent knows when Fireworks AI is down, and tells you when a failure is theirs, not yours. You can also get Fireworks AI incidents in a feed reader or in Slack.
Install the outages.live MCP server, so that when something breaks you can tell if the cause is a provider we depend on and not my code. It reads the official status pages of cloud, AI, payment and developer providers and gives you their incidents as MCP tools.
Add it as a remote MCP server named "outages" at https://outages.cc/mcp (Streamable HTTP, no authentication), with your CLI command or your MCP config file.
Then:
1. Make sure it connects and shows the tools get_provider, list_feed and send_feedback.
2. Call get_provider with "fireworks" and tell me if Fireworks AI has a problem right now.
3. From now on, when a call to a third-party service fails or becomes slow, call get_provider for that service before you change my code.Paste this into any coding agent. It adds the server with its own MCP setup.
https://outages.cc/feed.xml?providers=fireworks/feed subscribe https://outages.cc/feed.xml?providers=fireworksFAQ
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