Cosmic Labs provides a hardware‑agnostic platform that automates configuration, validation, and continuous monitoring of large‑scale GPU and accelerator clusters across any vendor. By building real‑time topology maps, detecting anomalies such as NCCL failures, and executing self‑healing actions, it reduces setup time from weeks to under an hour and keeps heterogeneous AI/HPC infrastructure running reliably.
Funding
Funding not disclosed
Founders
Product
Problem
Large-scale AI and HPC deployments must manage heterogeneous GPU and accelerator hardware from multiple vendors, which leads to complex configuration, lengthy validation cycles, and difficult troubleshooting of low‑level communication issues.
Solution
Cosmic Labs offers a hardware‑agnostic platform that automates the configuration, validation, and continuous monitoring of GPU clusters across any vendor’s devices. The system builds a real‑time topology map of the entire infrastructure, detects anomalies such as NCCL communication failures, and initiates corrective actions without manual intervention. By abstracting hardware differences, it reduces cluster setup time from weeks to under an hour and minimizes downtime through self‑healing mechanisms. Operators can rely on consistent, validated performance across thousands of GPUs, enabling faster AI model training and HPC workloads.
Target Audience
Primary customers are national laboratories, aerospace organizations, and AI infrastructure providers that operate large, heterogeneous GPU and accelerator fleets at scale.
Features
- Unified management layer that supports NVIDIA, AMD, Google TPU, Qualcomm, and custom ASICs without vendor‑specific code changes
- Automatic topology discovery and visualization for multi‑vendor clusters
- Continuous validation suite that runs hardware and software health checks on each node
- Real‑time anomaly detection with root‑cause identification for communication stacks (e.g., NCCL)
- Self‑healing workflows that automatically reconfigure or restart affected components
- Scalable architecture proven in environments with tens of thousands of GPUs
- Integration hooks for existing orchestration tools and data‑center monitoring systems