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DigitalOcean Status - Incident History

Power Degradation impacting GPU Performance in ATL1 Rescheduled: Spaces Maintenance in BLR1 Rescheduled: Spaces Maintenance in NYC3, SFO2 and SFO3 Rescheduled: Spaces Maintenance in BLR1 Rescheduled: Spaces Maintenance in AMS3, FRA1 and TOR1 Spaces Maintenance in NYC3, SFO2 and SFO3 Cloud Control Panel and API Maintenance Window Extended in LON1, SGP1, SYD1. Spaces Maintenance in AMS3, BLR1, FRA1 and TOR1 Managed Databases Creation Spaces Maintenance in LON1, SGP1 and SYD1 Container Registry and Spaces Accessibility Major Service Interruption in MKC1 Volume Attach/Detach events in FRA1 Account Registration, Droplets, and Related Services Functions on App Platform Multiple Services Availability Spaces Cold Storage Billing Cloud Control Panel Access Gradient AI Model Kimi K3 Responses Issues Agent Platform Requests Returning HTTP 500 Errors Network Connectivity from India to NYC Llama-4-Maverick Model Availability Gradient AI Serverless Inference Requests Timing Out for qwen3.5-397b-a17b Networking in BLR1 Block Storage Volume NYC1 and NYC3 Reserved IP routing in TOR1 Serverless Inference - Gemma4 Latency Issues Causing Timeouts & Slow Responses Kubernetes Deployments in NYC1 NYC2 Network Maintenance
Serverless Inference - High error rates for open source m...
2026-04-07 · via DigitalOcean Status - Incident History

Resolved

Service has been fully restored, and the model is now operating normally. We have implemented improvements to enhance stability and reduce the likelihood of similar issues in the future.

Posted Apr 07, 2026 - 15:50 UTC

Identified

We are currently investigating reports of elevated latency affecting requests to this model when using Serverless Inference and Agents.

Earlier observations indicated increased error rates for the open-source Qwen 3 32B model. The Ray dashboard also showed multiple workers in a pending state, suggesting capacity constraints.

Our analysis determined that the model was experiencing higher-than-expected request volume without sufficient resources to scale accordingly. To address this, the node pool size has been increased to improve available capacity. However, there are still insufficient nodes to fully support the desired number of model replicas.

Following the node pool expansion, a new pod-related error has been identified. Our Engineering team is actively working to resolve this issue and restore full service performance.

Posted Apr 07, 2026 - 12:55 UTC

Investigating

Serverless inference for alibaba-qwen3-32b (Qwen 3 32B) in tor1 is experiencing high error rates starting at 10:46 UTC.

Posted Apr 07, 2026 - 12:49 UTC

This incident affected: Gradient AI.