Where AI manages your infrastructure. Full telemetry ingestion and processing powered by AI, with intuitive interaction through AI canvas, orchestration tools, and human-in-the-loop guardrails for mission-critical operations.
QuantumStream is built AI-first for data center operations. Unlike traditional monitoring systems that bolt AI onto existing architectures, we designed the entire platform around AI from day one—handling full hardware telemetry, thermal monitoring, power analytics, and orchestration autonomously while keeping operations teams in control.
AI processes every metric from your infrastructure—IPMI/BMC data, SMART disk stats, thermal sensors, power distribution, network I/O. No manual configuration. Complete visibility across thousands of servers.
AI continuously monitors hardware health, predicts failures, detects thermal anomalies, and optimizes power usage—without human intervention. Machine learning improves predictions with every incident.
Work with infrastructure data intuitively. Ask "which servers are at risk?" or "show me thermal hotspots"—AI handles complex queries, generates visualizations, and investigates anomalies conversationally.
Out-of-the-box tools for workload migration, maintenance scheduling, spare part allocation, and facility-wide remediation. Take meaningful action at scale with approval workflows and human oversight.
Data centers generate billions of telemetry points daily from thousands of servers and infrastructure components. QuantumStream processes this at scale with intelligent filtering and edge aggregation.
AI determines which metrics matter for each component. High-frequency sampling when needed, aggregated summaries otherwise. Focus computational resources where they provide diagnostic value.
Process telemetry close to the source—rack-level or row-level aggregation before cloud transmission. Reduce data egress costs while maintaining diagnostic capability for every server.
Consolidate monitoring tools, reduce cloud storage, and lower egress costs. Typical data center deployments reduce monitoring infrastructure costs by 40-60%.
Configure and manage infrastructure telemetry without changing server configurations. Sensor Studio provides a no-code interface for defining metrics, setting collection rules, and adjusting monitoring parameters—all deployable remotely.
Define custom metrics, SNMP OIDs, IPMI sensors, and log parsers through visual interface. Add new monitoring points without touching server configs—deploy changes remotely.
Set thresholds, define anomaly patterns, and create alert conditions that trigger notifications. Configure what constitutes a critical vs. warning state—adjust based on operational learnings.
Balance monitoring detail with system overhead. Configure per-metric sampling rates, aggregation levels, and retention periods—optimized for your infrastructure scale.
Apply different monitoring profiles to server groups. Critical production servers get enhanced monitoring, development servers get baseline tracking, AI workloads get specialized telemetry.
QuantumStream integrates with existing data center infrastructure management (DCIM) and IT service management (ITSM) platforms, complementing your current tooling.
Predict disk failures 72 hours in advance using SMART data and ML models. Schedule replacements during maintenance windows, preventing unplanned downtime and data loss.
AI-driven cooling optimization reduces energy costs by 30-40%. Detect hot spots before they cause hardware failures, optimize air flow, and maintain optimal operating temperatures.
Achieve PUE of 1.2-1.3 through continuous optimization. Identify idle servers, optimize power states, balance loads, and schedule workloads during off-peak hours for maximum efficiency.
Predict and prevent hardware failures that cause outages. Automated workload migration away from at-risk servers maintains service availability while hardware is replaced.
ML-based forecasting predicts when you'll need additional compute, storage, or power capacity. Plan infrastructure expansions proactively based on growth patterns.
Identify problematic hardware batches quickly. When failures correlate to specific manufacturers, models, or serial number ranges, trigger targeted RMAs and vendor escalations.
QuantumStream monitors thousands of servers across data center facilities. The platform processes billions of telemetry points daily, enabling operators to reduce costs, prevent failures, and maintain industry-leading uptime.
The AI-native architecture means the system improves continuously—learning from every server, every failure, and every optimization. What starts as good intelligence becomes exceptional intelligence over time.
Estimate annual impact based on data center deployments
See how QuantumStream's AI-first architecture can transform your data center operations. From full telemetry ingestion to intuitive AI interaction and automated orchestration—all with human-in-the-loop control.
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