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High-performance computing clusters designed to handle massive workloads and complex calculations, optimized for big data and analytics. Supports industry-leading software and offers high reliability and security.
Hardware solutions that provide the computational power needed for complex actuarial simulations, Monte Carlo analyses, and other processor-intensive calculations required for modern pension management.
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CPU Cores Total number of CPU cores available in the cluster. |
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CPU Clock Speed Maximum clock speed of the CPUs in the cluster. |
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GPU Availability Availability of GPUs optimized for parallel computations such as Monte Carlo simulations. |
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GPU Cores Number of GPU compute cores for accelerated calculations. |
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SIMD/Vector Capabilities Support for SIMD/vectorized instructions to speed up actuarial algorithms. |
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Floating Point Operations Per Second (FLOPS) Peak floating point computation capacity of the cluster. |
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Memory Bandwidth Maximum rate at which data can be transferred to/from memory. |
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Low-Latency Interconnects Presence of high-speed, low-latency networks between nodes (e.g., InfiniBand). |
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Node Scalability Maximum number of nodes that can be integrated into the cluster. |
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Elasticity Ability to dynamically add or remove computational resources based on demand. |
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Performance Benchmarks Availability of standardized performance benchmarks for actuarial workloads. |
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Total Storage Capacity Maximum storage available to the cluster. |
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High Speed Storage Use of high-performance storage such as NVMe or SSD. |
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Data Redundancy Support for RAID or other data redundancy mechanisms. |
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Backup Frequency How often automated backups are taken. |
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Encryption At Rest Whether data is encrypted while stored. |
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Data Archiving Support for long-term, low-cost data archiving solutions. |
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Data Compression Ability to compress data for more efficient storage. |
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Shared File Systems Availability of distributed file systems accessible by all compute nodes. |
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Automated Data Cleansing Built-in support for automated validation and cleansing of dataset inputs. |
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Data Versioning Ability to maintain and roll back to previous versions of datasets. |
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Job Scheduler Existence of advanced job scheduling system (e.g., SLURM, PBS, LSF). |
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Job Prioritization Ability to prioritize critical actuarial jobs according to business rules. |
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Resource Quotas Support for allocating resource quotas per user or project. |
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Job Monitoring Real-time monitoring of running jobs and their resource usage. |
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Fault Tolerance Ability to automatically recover or restart failed jobs. |
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Automated Notifications Automatic alerts for job completion, failures, or resource exhaustion. |
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Workflow Automation Support for automated, multi-stage actuarial workflows. |
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API for Job Submission REST or command-line interface for automated job submissions. |
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Job Array Support Ability to efficiently run large arrays of similar actuarial jobs. |
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Historical Job Logs Access to detailed history and logs of previous jobs for audit purposes. |
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Support for Actuarial Software Compatibility with common actuarial software (Prophet, MoSes, AXIS, etc.). |
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Statistical Programming Languages Availability of R, Python, MATLAB, and related packages. |
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Custom Model Integration Ability to deploy custom-built simulation and projection models. |
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High-Performance Libraries Pre-installed numerical and actuarial libraries (BLAS, LAPACK, TensorFlow, etc.). |
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Containerization Support Ability to run software in Docker, Singularity, or other container platforms. |
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Operating System Support Support for preferred OS (Linux, Windows, etc.). |
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Parallel Computing Interfaces Support for MPI, OpenMP, or equivalent parallel computing frameworks. |
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Cloud Integration Ability to burst workloads or integrate with public/private clouds. |
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License Management Facilities for monitoring and managing proprietary software licenses. |
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Version Control Integration Easy integration with Git or similar version control systems for code management. |
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User Authentication Multi-factor authentication and single sign-on for user access. |
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Role-Based Access Control Granular assignment of permissions and roles to users. |
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Encryption in Transit Data and communications encrypted over the network. |
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Audit Trails Logged record of user actions for compliance and investigation. |
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GDPR/Local Compliance Support for compliance with data protection regulations such as GDPR. |
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Vulnerability Management Regular patching and vulnerability scanning of hardware and software. |
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Disaster Recovery Comprehensive disaster recovery and data restore procedures. |
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Physical Security Physical security measures for on-premise cluster deployments. |
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Data Masking Tools to anonymize or mask sensitive pension fund data. |
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Endpoint Protection Malware and intrusion detection for all endpoints in the cluster. |
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Horizontal Scalability Ability to add computing nodes with minimal configuration changes. |
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Vertical Scalability Ability to increase the capacity (CPU, RAM) of existing nodes. |
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Resource Pooling Dynamic allocation of shared resources between projects or departments. |
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Custom Configuration Support for custom node types or heterogeneous clusters. |
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Bursting to Cloud Capacity to support hybrid on-premises and cloud configurations. |
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Self-Service Resource Management Users can request or release resources without admin intervention. |
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Elastic Storage Dynamically assign storage as project data grows. |
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Multi-Tenancy Ability to securely isolate environments for different teams. |
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Resource Quota Management Set limits on usage for predictable cost and capacity management. |
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Automated Provisioning Automated setup and teardown of computational resources as needed. |
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Uptime SLA Guaranteed percentage uptime by vendor/service provider. |
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Redundant Power Supply Multiple power sources to prevent cluster outages. |
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HA Clustering Support for high availability clustering and failover. |
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Hot Swappable Components Ability to replace or upgrade hardware without shutting down. |
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Automated Health Monitoring Real-time monitoring and alerts for hardware or software failures. |
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Automatic Node Recovery Automatic reboot or recovery of failed nodes. |
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Service-Level Monitoring Continuous monitoring for critical actuarial services. |
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Spare Node Capacity Built-in spare nodes for immediate failover. |
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Scheduled Maintenance Windows Clearly defined and communicated downtime for upgrades/maintenance. |
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Error Correction Codes (ECC) Memory RAM with ECC to protect against data corruption. |
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Web Portal Access User-friendly web interface for accessing and managing cluster resources. |
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Command-Line Utilities Robust CLI for advanced users and automation. |
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Multi-Language Support Documentation and interface availability in multiple languages. |
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Accessibility Features Compliance with accessibility standards for users with disabilities. |
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Self-Service Documentation Comprehensive knowledge base and troubleshooting guides. |
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Collaboration Tools Integration Integration with email, chat, and documentation platforms. |
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Single Sign-On Unified login experience across platforms and tools. |
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Customizable Dashboards User dashboards that can be configured to display relevant information. |
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Mobile Access Support for monitoring or interacting with the system from mobile devices. |
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API Documentation Accessible and well-maintained documentation for all system APIs. |
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RESTful API Provision of standards-compliant APIs for external integrations. |
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Database Connectivity Ability to connect to internal and external databases securely. |
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File Format Compatibility Support for a range of input/output formats (CSV, Excel, Parquet, HDF5, etc.). |
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ERP/CRM Integration Integration with enterprise pension, HR, and financial systems. |
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Data Lake Integration Support for ingesting and exporting data from/to data lakes. |
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Event-Driven Architecture Support for pub/sub messaging or webhooks for real-time data flow. |
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Authentication Federation Integration with enterprise identity management (LDAP, SAML, etc.). |
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Orchestration Integration Compatibility with orchestration tools like Kubernetes or Airflow. |
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Partner Data Services APIs or connectors for industry-standard actuarial and fund management services. |
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Legacy System Support Interoperability with older or proprietary pension management platforms. |
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Usage-Based Billing Ability to measure and bill based on actual resource usage. |
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Cost Reporting Detailed reporting of costs by department, project, or user. |
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Energy Efficiency Use of hardware and cooling solutions to minimize energy costs. |
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Idle Resource Detection Automated identification and deallocation of idle resources. |
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Budget Alerting Automated notifications when approaching or exceeding budget thresholds. |
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Capacity Planning Tools Forecasting future computational needs and hardware investments. |
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Spot/Preemptible Resource Support Access to discounted, interruptible compute resources where possible. |
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Procurement Integration Integration with financial systems for asset tracking and procurement planning. |
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Chargeback/Showback Features Reporting tools for allocating costs to appropriate business units. |
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Power Usage Metrics Real-time and historical metrics on power consumption. |
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24/7 Support Availability Access to technical support at all times. |
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Dedicated Account Manager Assigned manager for ongoing relationship and escalations. |
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SLAs for Incident Response Service-level guarantees for support ticket response and resolution times. |
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Proactive System Monitoring Vendor provides monitoring and alerts on infrastructure health. |
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Training and Onboarding Structured training and knowledge-transfer sessions for actuarial teams. |
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Professional Services Availability of consultants for system customization/integration. |
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Hardware Replacement SLAs Guaranteed time frames for hardware repair or replacement. |
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Knowledge Base Access Comprehensive, searchable knowledge base of issues and solutions. |
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Community Forums Access to vendor-supported discussion forums. |
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Roadmap Transparency Visibility into vendor's future feature and upgrade plans. |
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