Editorial Technical Reference

High-Performance Computing Systems

This page explains how High-Performance Computing Systems is classified within Computer, Electronic and Optical Product Manufacturing. Technical values and manufacturer relationships are research references; confirm the current specification and supplier evidence for each order.

Technical Definition & Core Assembly

Computer systems designed to deliver significantly higher computational power than general-purpose computers for solving complex problems.

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Product Specifications

Technical details and manufacturing context for High-Performance Computing Systems

Definition
High-Performance Computing (HPC) systems are specialized computing architectures that aggregate processing power through parallel computing techniques to solve computationally intensive problems in science, engineering, and business. These systems typically consist of multiple processors, high-speed interconnects, large memory configurations, and specialized storage solutions working in concert to achieve superior performance metrics. HPC systems are used for tasks such as weather simulation, molecular modeling, financial risk analysis, and machine learning training. They are characterized by high peak and sustained performance, measured in FLOPS, and can contain thousands to hundreds of thousands of processing units. The systems are designed to handle large datasets and complex calculations that would be impractical on general-purpose computers. They often require specialized cooling and power infrastructure due to their high energy consumption. The directory lists typical parameters such as peak performance (1–10 FLOPS), sustained performance (0.5–5 FLOPS), processor count (1000–100000 units), memory capacity (10–500 TB), interconnect bandwidth (100–1000 GB/s), power consumption (100–1000 kW), operating temperature (10–35 °C, ISO 7779), storage capacity (1–50 PB), cooling method (air or liquid, liquid for >200 kW), footprint (10–200 m²), weight (5000–50000 kg), operating humidity (20–80% RH, ISO 7779), and input voltage (200–480 V AC, IEC 60038). These values are reference ranges and must be verified for the specific model and application. The systems are built using semiconductor materials, copper alloys, thermal interface materials, and printed circuit board substrates. For procurement, it is essential to confirm the exact specifications with the legal manufacturer or supplier, as actual performance and compliance may vary.
Working Principle
HPC systems operate on parallel computing principles where computational tasks are divided into smaller sub-tasks that can be processed simultaneously across multiple processing units. These systems utilize specialized architectures such as clusters, grids, or massively parallel processors (MPP) with high-bandwidth, low-latency interconnects to coordinate parallel execution. Workloads are managed through job schedulers and parallel programming models like MPI (Message Passing Interface) or OpenMP to distribute and synchronize computations across thousands of processing cores.
Common Materials
Semiconductor materials, Copper alloys, Thermal interface materials, Printed circuit board substrates
Technical Parameters
ParameterTypical rangeNotes & selection driver
Peak PerformanceRequired1–10 FLOPSMaximum theoretical computational performance achievable under ideal conditions
Sustained PerformanceRequired0.5–5 FLOPSActual computational performance maintained during typical workloads
Processor CountRequired1000–100000 unitsTotal number of processing units (CPUs/GPUs) in the system
Memory CapacityRequired10–500 TBTotal system memory available for computational tasks
Interconnect BandwidthRequired100–1000 GB/sMaximum data transfer rate between processing nodes
Power ConsumptionRequired100–1000 kWMaximum electrical power consumption under full load
Operating Temperature10–35 °CAir-cooledISO 7779
Storage Capacity1–50 PBParallel file system
Cooling MethodAir or LiquidLiquid for >200 kW
Footprint10–200 Including racks and cooling
Weight5000–50000 kgFull system
Operating Humidity20–80 % RHNon-condensingISO 7779
Input Voltage200–480 V AC3-phaseIEC 60038

Ranges are indicative industry figures for RFQ preparation, not a supplier commitment. Confirm every value and standard with the legal manufacturer before ordering.

Components / BOM
  • Compute Nodes
    Primary processing units containing CPUs/GPUs that execute computational tasks
    Material: Semiconductor processors, copper interconnects, silicon substrates
  • High-Speed Interconnect
    Network infrastructure enabling low-latency communication between compute nodes
    Material: Optical fibers, copper cables, network interface controllers
  • Parallel Storage System
    High-bandwidth storage solution for simultaneous data access by multiple compute nodes
    Material: Magnetic disks, solid-state drives, storage controllers
  • Cooling System
    Thermal management infrastructure to dissipate heat generated by high-density computing components
    Material: Liquid coolant, heat exchangers, copper piping, aluminum fins
  • Power Distribution Unit
    Electrical infrastructure providing stable power supply to all system components
    Material: Copper conductors, insulating materials, circuit breakers
  • Management Node
    Control system for job scheduling, resource allocation, and system monitoring
    Material: Standard server components with management processors

Industry Taxonomies & Aliases

Commonly used trade names and technical identifiers for High-Performance Computing Systems.

Industrial Ecosystem & Supply Chain Structure

Complementary Systems
Downstream Applications
Specialized Tooling

Application Fit & Sizing Matrix

Operational Limits
pressure: Atmospheric (0.8 to 1.1 bar), altitude up to 3000m
other spec: Humidity: 20-80% non-condensing, Power: 200-480V AC, 50/60Hz, Cooling: Liquid or air, 10-100 kW thermal load
temperature: 10°C to 35°C (operating), 0°C to 45°C (storage)
Media Compatibility
✓ Data center environments with controlled cooling ✓ Research laboratories with stable power ✓ Industrial facilities with clean power conditioning
Unsuitable: Outdoor environments with dust, moisture, or temperature extremes
Sizing Data Required
  • Required computational performance (FLOPS/TFLOPS)
  • Memory and storage capacity needs (TB/PB)
  • Power and cooling infrastructure availability (kW)

Reliability & Engineering Risk Analysis

Failure Mode & Root Cause
Thermal throttling and overheating
Cause: Inadequate cooling system performance due to dust accumulation, degraded thermal paste, or failing fans/liquid cooling pumps, leading to CPU/GPU operating beyond safe temperature thresholds and automatic performance reduction or shutdown.
Power supply unit (PSU) failure
Cause: Capacitor aging, voltage regulation drift, or transient voltage spikes from unstable grid power, resulting in insufficient or unstable power delivery to critical components like processors and memory, causing system crashes or hardware damage.
Maintenance Indicators
  • Unusual audible cues like grinding or whining from cooling fans/pumps, or frequent, loud fan speed fluctuations indicating thermal management struggles.
  • Visual indicators such as system performance degradation (slower computations), unexpected shutdowns/reboots, or error logs showing temperature warnings or power anomalies.
Engineering Tips
  • Implement proactive thermal management: Regularly clean air filters and heat sinks, monitor coolant levels in liquid systems, and replace thermal interface materials per manufacturer schedules to maintain optimal heat dissipation.
  • Enhance power quality and redundancy: Use uninterruptible power supplies (UPS) with voltage regulation, install dedicated power circuits, and employ redundant PSUs in critical nodes to mitigate grid instability and extend component lifespan.

Indicative industry ranges for design and RFQ preparation. Confirm the exact figures and applicable standard with the manufacturer before specifying.

Compliance & Manufacturing Standards

Applicable Standards
ISO/IEC 11801: Information technology - Generic cabling for customer premises ANSI/TIA-942: Telecommunications Infrastructure Standard for Data Centers CE Marking: Conformity with EU directives for electromagnetic compatibility and low voltage

Quoted from the published standard.

Manufacturing Precision
  • Thermal Interface Material Thickness: +/-0.05mm
  • PCB Trace Width: +/-10% of nominal value
Quality Inspection
  • Thermal Cycling Test: -40°C to +85°C for 1000 cycles
  • Electromagnetic Compatibility (EMC) Testing: Radiated and conducted emissions per EN 55032

Manufacturers of High-Performance Computing Systems

Manufacturer profiles associated with High-Performance Computing Systems.

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Frequently Asked Questions

What are typical performance metrics for HPC systems?

Typical metrics include peak performance (1–10 FLOPS), sustained performance (0.5–5 FLOPS), processor count (1000–100000 units), memory capacity (10–500 TB), and interconnect bandwidth (100–1000 GB/s). These are reference ranges; actual values depend on the specific configuration and must be confirmed with the manufacturer.

What cooling methods are used for HPC systems?

Cooling methods include air cooling for systems up to 200 kW and liquid cooling for systems exceeding 200 kW. The operating temperature range is 10–35 °C (ISO 7779) and humidity 20–80% RH (ISO 7779). Verify the cooling requirements with the supplier.

What are the power and space requirements?

Power consumption ranges from 100 to 1000 kW, input voltage is 200–480 V AC (IEC 60038), and footprint is 10–200 m² including racks and cooling. Weight ranges from 5000 to 50000 kg. These are reference values; confirm with the manufacturer.

What materials are used in HPC construction?

Materials include semiconductor materials, copper alloys, thermal interface materials, and printed circuit board substrates. These are typical materials; specific grades and specifications should be verified with the supplier.

Data Basis

Editorial classification, named public sources where available, and source-reviewed manufacturer records.

Preliminary Technical Classification
This page supports structured research, RFQ preparation, and supplier evaluation. It does not replace buyer-led supplier qualification, standards review, or technical approval.
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