System-Stack provides a proactive monitoring platform for large‑scale HPC and AI clusters, continuously ingesting low‑level telemetry from compute, storage, and networking devices. It applies real‑time analytics and predictive models to detect anomalies and forecast failures, integrating with job schedulers like Slurm, PBS, and Kubernetes to deliver actionable alerts, dashboards, and API hooks for automated remediation.
Funding
Funding not disclosed
Founders
Product
Problem
Large-scale high-performance computing (HPC) and AI infrastructures generate massive amounts of system telemetry, but traditional monitoring tools are reactive, siloed, and struggle to scale, leading to undetected hardware failures, performance bottlenecks, and costly downtime.
Solution
System‑Stack delivers a proactive monitoring platform designed specifically for HPC and AI clusters. It continuously collects low‑level hardware and software metrics, applies real‑time analytics to detect anomalies, and predicts potential failures before they impact workloads. The platform integrates with common job schedulers and resource managers to correlate system health with workload performance, providing operators with actionable alerts and visual dashboards. By automating root‑cause identification and offering API access for custom workflows, System‑Stack enables administrators to maintain high utilization and reliability across thousands of nodes.
Target Audience
Primary customers are HPC center operators, AI research labs, and large‑scale data‑center teams that manage thousands of compute nodes and require continuous system reliability.
Features
- Scalable data pipeline that ingests telemetry from millions of sensors across compute, storage, and networking devices
- Real‑time anomaly detection and predictive failure models using statistical and machine‑learning techniques
- Native integration with Slurm, PBS, Kubernetes, and other HPC/AI workload managers for context‑aware monitoring
- Centralized web dashboard with per‑node health views, trend analysis, and customizable alert thresholds
- RESTful API and webhook support for automated remediation, ticketing, and third‑party tool integration
- Secure, role‑based access control and encrypted data transport to meet enterprise compliance requirements