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
One user-owned context for every agent
Agents wake up to what changed since their last loop
Readable, traceable context with every change logged
End-to-end encryption with AES-256
Granular sharing controls with revocable access
Right to export, delete, and transparency
Context that travels across AI products and models
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
User-owned context that travels with you across AI products
Traceable agent activity with full visibility and control
Agents coordinate through shared context without learning being trapped in silos