Run your product's AI features on machines you already own
The Open Superintelligence Stack
Stage
Not given
Startup
Founded
Not given
Not given
Based in
IL
US
Pricing model
Not given
Paid
Pricing
Not given
Compute on-demand: H200 starting at $0.47/HR to $1.99/HR, B300 at $4.99/HR, B200 at $3.49/hr, H100 at $2.43/HR (Spot $0.94/HR). Reserved clusters available with quotes from 50+ datacenters.
Key features
OpenAI-compatible API
Zero data retention
Automatic idle detection and workload routing
MDM-based agent installation
Cloud fallback with transparent logging
Support for Macs, Windows and Linux
Memory and speed estimation for models
Optional on-premises deployment
Data routing controls for sensitive workloads
2,500+ RL environments on the Hub
100+ open-source model evaluations
Managed training workflows with full visibility
GLM-5.3 hosted inference
OpenAI-compatible API
SLURM and Kubernetes orchestration
Infiniband networking for distributed training
Grafana monitoring dashboards
Secure code sandboxes for RL
What makes it different
Costs stay flat as you grow because you pay for electricity instead of per-token cloud fees
Only uses idle time, stepping back immediately when users return
Code stays the same - just change the API base URL and key
Works with hardware you already own without buying new equipment
No data storage of prompts or responses
Integrated stack combining training, inference, compute and evaluations in one platform
Backed by leading investors including NVIDIA, Founders Fund, and AI researchers
Large-scale open-source community with 2,500+ environments and models
Applied research team providing hands-on support for training
Competitive pricing with spot market and reserved cluster options