Pinecone logo and current status indicator

Pinecone Status

Operational

pinecone.io ↗6 top-level components

checked Oct 26, 2026 10:31 PM UTC · Pinecone's official status page

Is Pinecone Currently Down?

No. Pinecone is up and running.

Pinecone is currently operational with all systems functioning normally.

All components operational

Last broke
Oct 7
Uptime
100.00%
Most impacted
Index Management

History · 30 day period

Service health

Service health, last 30 days

Sep 27Today
Vendor-reported incidentNo status degradation recordedPartial outage

How to read this

The record

30 day period · not affected by the range above
Availability
100.00%
Last Incident
Partial Outage
Oct 7, 2026 9:43 PM UTC
Incidents
1
1 partial
Most impacted
Index Management
Longest 1h 1m

Availability counts operational or degraded time as available, averaged equally across all monitored components. Partial outages count as half downtime and major outages count in full, scheduled maintenance is excluded from the calculation, and periods with no recorded status are counted as available rather than assumed down. Each component is tracked independently to give you a clear picture of overall service reliability.

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Recent Pinecone outages & status updates

Status changes and service events for Pinecone over the last 30 days

[Inference] 5xx errors on some `llama-text-embed-v2` requests

Oct 14 · reported by Pinecone · resolved

[Inference] 5xx errors on some `llama-text-embed-v2` requests

Oct 14 · reported by Pinecone · resolved

Index Management experienced a partial outage

Oct 7 · resolved after 1h 1m

[SERVERLESS][GCP][us-central1] Newly created indexes failing to initialize

Oct 7 · reported by Pinecone · resolved

[Pods][AWS][us-east-1] Write failures and high latency

Sep 28 · reported by Pinecone · resolved

Solid — we detected itHollow — Pinecone reported it
View all incidents →

What is Pinecone?

Pinecone is a vector database specialized for machine learning and AI applications, providing efficient storage and similarity search for high-dimensional vector embeddings. It enables developers to build intelligent applications with advanced semantic search and recommendation capabilities.

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