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.
Free plan: $0/month with $25 included usage and up to 5 running sandboxes. Starter: $20/month with $20 monthly usage and 20 running sandboxes. Pro: $99/month with $110 monthly usage and 100 running sandboxes. Scale: $399/month with $450 monthly usage and 500 running sandboxes. Usage metered at $0.01
Key features
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
E2B SDK compatible API gateway
Multiple sandbox sizes (Small, Medium, Large, XL with 1-8 vCPU and 2-16 GiB)
Live terminal and desktop viewing
SSH access with VS Code Remote support
Pause and resume with memory intact
Long-running sandboxes on Pro and Scale plans
Credential vault for secrets management
Egress control with allow and deny lists
Custom Docker images via Dockerfile
What makes it different
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
Direct E2B SDK compatibility without code rewriting
Usage-based billing with included credits, no overages on paused sandboxes