DownForAI

Google Vertex AI status: API, auth, latency & outage reports

Google Vertex AI is operational right now. DownForAI checks Google Vertex AI every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 41 min ago·1 surface
Probe-monitoredMedium confidence
📡 Official status page →📚 Docs →💳 Pricing →
100.0%
24h Uptime
47ms
p50 Network Latency
179ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Google Vertex AI via a single endpoint — Vertex AI API. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 47 ms; p95: 179 ms.

No infrastructure incidents have been tracked for Google Vertex AI since monitoring began, and no community reports were submitted in the last 24 hours. Automated checks continue on the configured schedule.

Data confidence: MediumLast checked 41 min ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 40ms
Verified 40m ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if Google Vertex AI is not working for you.

0reports in the last 24 hours

Surface Health

Vertex AI APIOperational
HTTP 200p50 47ms40m ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Google Vertex AI

No confirmed provider-side issue detected
DownForAI currently sees Google Vertex AI as operational based on available monitoring signals.
Signal source: official status page · Monitoring confidence: Medium
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Google Vertex AI in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Google Cloud's enterprise AI platform. Access Gemini, Claude, Llama, custom models. MLOps, RAG, fine-tuning.

What we monitor
Vertex AI APIModel inference and prediction API
Model GardenModel catalog and deployment
Vertex AI SearchManaged RAG and search service
Online Prediction EndpointsCustom model serving
Operator notes
  • Vertex AI and AI Studio are separate infrastructures — Vertex can be down while AI Studio works.
  • Vertex also hosts Claude via Anthropic partnership — check both Vertex and Anthropic status for Claude on Vertex.

Fallback alternatives

What to use if this service is down

Vertex AI is degraded
Google AI Studio (different infra) can reduce downtime for Gemini; AWS Bedrock for managed model alternatives
Moderate effort

How we monitor

DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.

Google Vertex AI statusEmbed this status badgeREADME · docs ▾
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