DownForAI

H2O.ai status: API, auth, latency & outage reports

H2O.ai is operational right now. DownForAI checks H2O.ai every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 3h ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
141ms
p50 Network Latency
513ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors H2O.ai via a single endpoint — H2O.ai Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 141 ms; p95: 513 ms.

H2O.ai has had no tracked outages since joining the DownForAI monitoring network. No community reports have been filed in the last 24 hours.

Data confidence: LowLast checked 3h 36m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 200ms
Verified 3h ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if H2O.ai is not working for you.

0reports in the last 24 hours

Surface Health

H2O.ai WebOperational
HTTP 200p50 141ms3h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about H2O.ai

No confirmed provider-side issue detected
DownForAI currently sees H2O.ai as operational based on available monitoring signals.
Signal source: public surface check · Monitoring confidence: Low
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 H2O.ai in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

H2O.ai provides open-source and enterprise AI tooling — h2oGPT, Enterprise h2oGPTe, Driverless AI and H2O AI Cloud — mostly deployed in customer environments or on H2O's managed cloud. Public-facing incidents are rare; most problems are deployment-specific.

What we monitor
H2O AI CloudManaged platform
h2o.ai / docsWebsite and documentation
Customer deploymentsSelf-hosted h2oGPTe / Driverless AI
Ecosystem dependencies
External model providers when configured

Fallback alternatives

What to use if this service is down

H2O's managed cloud is down
Databricks or Hugging Face (monitored on DownForAI) host comparable enterprise ML platforms; h2oGPT can also run self-hosted
Major migration

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.

H2O.ai statusEmbed this status badgeREADME · docs ▾
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