Decentralized GPUs on io.net achieve 99%+ uptime through automated health monitoring, redundancy, and instant failover—comparable to centralized clouds. Provider reputation systems, continuous benchmarking, and SLA enforcement ensure consistent performance across the distributed network.
Reliability Mechanisms
1. Health Monitoring:
- GPU temperature, memory, power checked every 60 seconds
- Automatic alerts for degraded performance
- Failing GPUs removed from pool instantly
2. Redundancy:
- Workloads can run on multiple providers simultaneously
- Auto-failover to backup GPU if primary fails (<30 sec migration)
- Checkpointing for stateful workloads
3. Provider Reputation:
- Uptime scoring (providers must maintain >95%)
- Performance benchmarks (regular GPU health checks)
- User ratings and reviews
Reliability Stats
- Network uptime: 99.2% (trailing 90 days)
- Failed deployments: <2% (mostly user error, not hardware)
- Mean time to recovery: 45 seconds (automatic failover)
Comparison
| Metric | io.net (Decentralized) | AWS EC2 |
|---|---|---|
| Uptime SLA | 99%+ | 99.5% |
| Auto-failover | Yes (45 sec) | Optional |
| Geographic redundancy | 50+ regions | 30 regions |
When Decentralized is Better
- Instant availability (no waitlists)
- Geographic diversity (50+ regions vs. 30)
- Cost (50-70% cheaper)
When Centralized May Be Better
- Regulatory compliance (specific certifications)
- Ultra-low latency requirements (<10ms)
- Predictable SLA guarantees
99%+ reliable — io.net delivers enterprise-grade uptime with decentralized redundancy.
