Transform complexity into clarity with advanced analytics for supercomputing environments.
Managing HPC environments requires more than monitoring; it demands intelligence. AutonomousHPC® is a data-driven platform that collects and analyzes telemetry and event data to deliver real-time insights, forecast trends, and make actionable recommendations.
Intelligent Analytics for High-Performance Computing
AutonomousHPC® provides the intelligence needed for faster root-cause analysis, smarter capacity planning, and HPC performance optimization for evolving workloads.
Every customer tracks telemetry, the speeds and feeds, of the basic information on nodes in the cluster. Imagine working at the next level. Through AutonomousHPC®, Re-Store spends time studying the behavior of a cluster and tracking HPC analytics rather than focusing on CPU loads on machines.
AutonomousHPC® software studies workloads, resources, connectivity, and data and relates it to organizational objectives. The goal is to understand how these tools work to best meet business goals.
AI-Driven HPC Monitoring and System Behavior Analysis
Telemetry only tells part of the story. Every hour, thousands of log entries document EVENTS across the cluster in HPC systems. AutonomousHPC® software consolidates, collects, and uses AI to analyze the events that tell the other half of the story.
AutonomousHPC® studies are inherently cross-platform, cross-technology, and cross-vendor to create an accurate picture of the supercomputer environment.
Insights from the Re-Store HPC analytics platform AutonomousHPC® dovetail into our AfterCare offering, where they are fed to Re-Store engineers and used to make data-driven decisions that deliver continuously optimal operations.
From Data to Decisions
Collect & Analyze
Capture millions of telemetry points and event logs per hour for complete visibility.
Correlate & Predict
AI-driven algorithms identify patterns, forecast trends, and prevent performance bottlenecks.
Optimize Continuously
AutonomousHPC® evolves with your system, ensuring peak efficiency and reliability.
From Data to Decisions
Healthcare & Life Sciences
Accelerate genomic pipelines and improve patient outcomes
Financial Services
Enhance risk modeling and compliance analytics
Manufacturing & Engineering
Optimize simulation workloads and reduce operational costs
Energy & Research
Predict trends and streamline HPC operations for large-scale modeling
Why Choose Re-Store for AutonomousHPC®?
Re-Store is the only IBM reseller exclusively focused on IBM HPC solutions-since day one. Our deep analytics expertise and IBM partnership ensure AutonomousHPC® delivers maximum value for your HPC environment. environments.
IBM All the Time: 100% IBM-focused solutions for unmatched integration and reliability
Analytics Expertise: Decades of HPC performance tuning and telemetry analysis
Proven Impact: Helping Guardant reduce pipeline runtime from 32 hours to 8 hours
Future-Ready: AI-driven insights for dynamic, evolving HPC ecosystems
Beyond Monitoring: Strategic HPC Intelligence
Designing and building your HPC system is just the beginning. Our approach ensures long-term success through lifecycle planning, performance optimization, and proactive risk mitigation.
Root-Cause Analysis
Pinpoint issues before performance is impacted.
Trend Forecasting
Predict capacity needs and budget accurately.
Continuous Improvement
AutonomousHPC® adapts as your workloads evolve.
Let's Simplify Your Supercomputing.
Turn complexity into clarity. Explore AutonomousHPC® today.
Frequently Asked Questions
Tracking basic telemetry using traditional HPC monitoring tools shows CPU, memory, and node status. AutonomousHPC® analyzes the behavior of the entire cluster, including events, workloads, connectivity, and patterns across vendors, to reveal root causes, predict performance issues, and optimize how the system functions under real workload conditions.
AutonomousHPC® ingests millions of telemetry points and event logs per hour, correlating patterns with workload behavior. The HPC analytics platform's AI models forecast bottlenecks, capacity constraints, and failure conditions, enabling administrators to act before small anomalies become performance-impacting issues. Performance improvements vary by environment, but real-world results, such as reducing Guardant's pipeline runtime from 32 hours to 8, demonstrate how AI-driven analytics reveal inefficiencies and optimization opportunities that manual methods rarely uncover.
By analyzing workload trends, resource consumption, queue depth changes, and event correlations over time, AutonomousHPC® predicts upcoming demands. These predictions allow teams to plan storage, compute, and scheduling adjustments before hitting capacity limits.
Yes. AutonomousHPC® is designed to operate across platforms and vendors. The platform consolidates events and telemetry signals from diverse systems, creating a unified, accurate view of clusters regardless of hardware, software stack, or cloud integration.
The HPC analytics platform connects events with telemetry to identify root causes quickly, minimizing guesswork. Instead of manually parsing logs, teams receive actionable insights that shorten time-to-resolution and reduce trial-and-error troubleshooting.