ZibraLabs Distributed Compute Cluster
A distributed runtime engine for AI workloads that scales to 50,000 nodes, supporting CPU and GPU resources across heterogeneous accelerators.
What it does
A distributed runtime engine for AI workloads that scales to 50,000 nodes, supporting CPU and GPU resources across heterogeneous accelerators.
- Massively parallel simulation
- Backtesting and large parameter sweeps
- Post-training and reinforcement learning
- Multi-modal data processing
- Batch and high-volume inference
- Long-horizon agentic workloads
- Category
- Cloud infrastructure and hosting
- Users
- AI researchers, ML engineers, Enterprise AI teams
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
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Security and compliance
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