DownForAI

Ollama status: API, auth, latency & outage reports

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

Operational
Last probe 3 min agoΒ·1 surface
Probe-monitoredLow confidence
πŸ“‘ Official status page β†’πŸ“š Docs β†’πŸ’³ Pricing β†’
100.0%
24h Uptime
156ms
p50 Network Latencyβ“˜
269ms
p95 Network Latencyβ“˜
0
Incidents (30d)

DownForAI monitors Ollama via a single endpoint β€” Ollama App. Current status: operational β€” all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 156 ms; p95: 269 ms.

DownForAI has not recorded any Ollama inference disruptions. The service is probed approximately every 75 minutes; no user reports have been received in the last 24 hours.

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

Current Status

βœ…
Operational
Everything works normally
βœ“Checked by our probes Β· 147ms
Verified 2m ago
βœ“No major incident reported
β“˜No reports in the last 24h

Having issues?

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

0reports in the last 24 hours

Surface Health

Ollama AppOperational
HTTP 200p50 156ms2m ago

Uptime β€” last 24h

100.0%

Network latency β€” last 20 probes

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What DownForAI can verify about Ollama

No confirmed provider-side issue detected
DownForAI currently sees Ollama as operational based on available monitoring signals.
Signal source: public surface check Β· 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)

βœ“No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Ollama in the last 24 hours.

Community reports

What users are saying right now

A
AnonymousπŸ’¬ down28d ago
the website is unreachable from firefox
A
AnonymousπŸ’¬ down28d ago
Ollama site and Cloud LLM provider are offline
A
AnonymousπŸ’¬ down37d ago
The AI service is temporarily overloaded. Please try again in a moment.
A
AnonymousπŸ’¬ down43d ago
Taking too long to response, even when network speed is 200mbps+
A
AnonymousπŸ’¬ down50d ago
500 error for model

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Popular local LLM runtime with local API, CLI, and cloud-hosted models. Official docs explicitly document integrations with tools such as Claude Code and Codex via ollama launch.

What we monitor
Ollama Registry β€” Critical for new model pulls
Ollama Cloud API β€” Managed inference (public beta since Jan 2026)
Ollama website β€” Docs, downloads
Status page segments
CloudRegistryWeb
Model families
User pulls what they want: Llama 3.3, Qwen 2.5, Mistral, Phi-3, DeepSeek R1, Gemma, etc.Also supports vision models (LLaVA, Llama 3.2 Vision) and embedding models
Common limits & quotas
  • Local deployment: unlimited, bounded only by user hardware (RAM, VRAM, disk)
  • Ollama Cloud: authenticated via API key, tiered plans (Free / Pro / Max); usage limits reset hourly and weekly per official pricing
  • No auth required for localhost API; auth required for Cloud API
Ecosystem dependencies
Integrates with: Claude Code, Codex CLI, Continue.dev, Zed, Cursor, Raycast AI, Open WebUI, LobeChat, LangChain, LlamaIndexOllama docs now explicitly support launching external integrations like Claude Code and Codex via ollama launchModels pulled from: Ollama Registry + Hugging Face (direct URL)Runs on: macOS, Linux, Windows, Docker
Operator notes
  • Key distinction: local Ollama and Ollama Cloud are different infrastructures. Local can work fine while Cloud is down, and vice versa.
  • Auth difference: localhost API requires no authentication; Cloud API requires API key. Never expose localhost:11434 to the public internet without auth middleware.
  • Check ollama --version and compare with the latest release if you suspect daemon/model compatibility issues
  • Many 'Ollama is down' reports are actually local daemon or hardware issues rather than platform outages
  • When downforai shows Ollama 'operational', we monitor the Cloud registry and API; local runs are the user's responsibility
Diagnostic signals
$ curl http://localhost:11434/api/tags β€” local daemon reachability (should return installed models list)$ curl http://localhost:11434/api/chat -d '{"model":"llama3.3","messages":[{"role":"user","content":"ping"}]}' β€” real local inference test$ ollama ps β€” active model processes$ ollama ls β€” list installed models$ ollama serve β€” start daemon manually$ ollama pull <model> β€” test Registry connectivity by pulling a small model

Fallback alternatives

What to use if this service is down

Registry is down but you need a cached model
Local ollama run <cached-model> continues to work
Easy switch
Registry down and need new model
Hugging Face direct download + Modelfile import
Moderate effort
Ollama Cloud degraded
Groq, Together AI, Fireworks AI host many of the same open-weight models via OpenAI-compatible APIs
Easy switch
Local daemon unstable on current hardware
LM Studio (GUI) is a drop-in alternative for the same models
Easy switch
Local daemon is healthy but model pull fails
Test already-cached local models before switching provider
Easy switch

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 β€œMonitoring 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 β€” 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.

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