Serverless inference with per-token pricing (pay for output, input, and cached tokens). Training pricing from $0.50 to $10.00 per 1M training tokens depending on model size and fine-tuning type. On-demand deployments at $0.134 to $0.334 per minute ($8 to $20 per hour) for various GPU types.
Not given
Key features
Guided training runs
Configuration-led training
Custom training logic
Serverless inference
On-demand dedicated deployments
Reserved capacity
OpenAI compatible API
Model library with latest open models
Reinforcement learning support
Multi-region deployments
Offline verification in milliseconds
Cryptographic passports for agents
Revocation under 60 seconds
Authority classes and assurance tiers
No central authority calls required
Local registrar lifecycle
Request signing with short-lived keys
Public conformance testing
Fail-closed HTTP gating
Appeal mechanism for revocation
What makes it different
Drop-in replacement for closed-model APIs with cost savings of 50-75%
Instant production deployment from any training checkpoint in seconds
Optimized inference engine for industry-leading throughput and latency
Elastic and global RL inference scaling
Own the complete learning loop for specialized intelligence
Neutral non-profit root barred by charter from issuing credentials or computing scores
Fully open standard with published conformance vectors and reproducible releases
Verification runs offline without phoning home to any authority
Four independent implementations agreeing on all conformance vectors
Public recorded ceremony to establish the root across independent custodians
AINRA