| What it does | The Open Superintelligence Stack
| Cloud GPU rental with persistent workspace for AI work
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| Stage | Startup
| Startup
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| Founded | Not given
| 2026
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| Based in | US
| US
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| Pricing model | Paid
| Paid
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| Pricing | 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.
| Workspace: $0.24/hr. Machines: L4 (24 GB) from $1.40/hr, L40S (48 GB) from $2.64/hr, RTX PRO 6000 (96 GB) from $4.74/hr. System RAM options from 32 GB to 256 GB. Storage: $0.15 per GB-month written, shared folder $0.10 per GB-month, traffic out $0.10 per GB. New accounts get $10 credit to try after
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| 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
| - Persistent workspace that pauses when idle, preserving files and apps
- Snapshots to save and restore workspace setup
- Shared folder accessible to all machines
- One-click app installation including ComfyUI, PyTorch, Ollama, vLLM, JupyterLab, VS Code
- Batch job support with automatic machine pause after completion
- Multiple access methods: SSH, VS Code, native apps, AI assistants
- Automatic pause after 15 minutes of inactivity, stopping GPU charges
- Pay-by-minute billing with no monthly plan requirements
- Claude MCP connector for AI assistant integration
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| 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
| - Unlike rented GPU pods that delete everything when stopped, Hinode keeps your workspace with all files, apps and models intact
- Machines start with your apps and setup already installed via snapshots, no upload needed
- Automatic pause after 15 minutes of inactivity eliminates wasted spend on idle GPUs
- Shared folder lets all machines access models and datasets without copying
- Pay by the minute from $10 prepaid credit with $10 trial for new users
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 73 ● no change since last check | 9 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 20 | 1 |
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| Citation Flow (Majestic) | 45 | 23 |
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| Referring domains (Majestic) | 2989 | 58 |
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Prime Intellect
Hinode