On-demand GPU cloud compute for AI, LLM inference and development
The Open Superintelligence Stack
Stage
Not given
Startup
Founded
Not given
Not given
Based in
AE
US
Pricing model
Paid
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
Live GPU marketplace with real-time capacity and pricing
Wallet-first authorization with fund reservation before compute request
SSH-ready GPU instances with public key access
Serverless inference with supported model catalog and API
Deploy templates for repeatable environments
Scoped developer API for capacity, usage, and inference automation
Support for open-source AI models on GPU instances
Multiple compute regions with dynamic availability
39 available GPU offerings with 7 GPU types
50 serverless models in model catalog
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
Server-side pricing calculation with transparent customer rates shown before authorization
Wallet-first deployment model prevents surprise charges
Clear operational state and control without opaque claims or sales processes
Flexible deployment options with persistent instances or serverless workflows
Developer-first API with scoped credentials and idempotency keys
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