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96.4%of 56 verified observed days had no reported provider issue
90-Day Trend
Dashed calendar markers below identify legacy observations whose source-at-observation was not recorded.
Monthly Status Summary
Month
Issue-free days
Days Tracked
Days with issues
September 2026
100%
30
0
This percentage summarizes normalized provider-status observations by calendar day. It is not duration-based, component-weighted, or contractual uptime. See the methodology and limitations.
Recorded Daily Status (Last 91 Days)
Jul 23Today
Legacy observation Operational Degraded Partial Outage Major Outage Maintenance No Data
Incident History
No source-attested incident records are available for the current collector history. Older legacy archive records remain available below.
Legacy Incident Archive
2 archived records restored. These records predate source-at-observation attestation. They are shown as historical ServiceAlert records only and do not establish a provider-reported incident, resolution, duration, or current active state.
July 2026
Data Center Failure Impacting Capacity
minorSource not attested
Last archived state: resolved
View archived record details
monitoring
We have **redistributed and allocated more capacity to production models** in **the US Central region.** Users should **see performance return to normal**. We’re now **monitoring** the infrastructure to ensure stability.
identified
A power loss issue at approximately 22:20pm UTC led to a subsequent **cooling system failure** at one of our **US Central** data centers that is causing **reduced capacity**, primarily for the `openai/gpt-oss-20b` model. The team is **working on restoring capacity**.
identified
We have **identified a cooling system failure** at one of our **US Central** data centers that is causing **reduced capacity**. The team is **working on restoring capacity**. Users **continue to see elevated latencies for specific models**.
investigating
We are currently investigating a potential issue at one of our US Central data centers that is impacting system capacity. Users **may experience higher latencies** due to reduced resources. Our engineering team is working to identify the root cause and remediate the problem.