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Highly scalable, energy-efficient high-performance clusters with advanced interconnects and storage; supports heavy actuarial loads, machine learning, and actuarial analytics at enterprise scale.
Powerful computing systems designed for parallel processing of complex actuarial calculations, enabling more sophisticated modeling and faster scenario analysis.
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Number of CPU Cores Total count of physical or virtual CPU cores available for parallel processing. |
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Number of GPUs Total graphical processing units, which can accelerate certain actuarial model computations. |
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Memory Capacity Aggregate RAM available in the cluster to support large in-memory computations. |
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Cluster Scalability Ability to expand resources dynamically. |
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Node Count Number of physical or virtual nodes within the cluster. |
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Elasticity Ability to automatically adjust cluster size based on workload. |
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High-Throughput Computing Capability to handle numerous jobs or simulations simultaneously. |
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Support for Containerization Ability to run containerized workloads for portability and environment consistency. |
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Support for Distributed Computing Frameworks Native compatibility with platforms like MPI, Hadoop, or Spark. |
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Resource Allocation Flexibility Users can specify CPU, GPU, memory, etc. per job. |
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Cluster Interconnect Bandwidth Speed of interconnect network between nodes. |
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Support for Heterogeneous Hardware Ability to mix different processor types (e.g., ARM, x86, GPU). |
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Job Scheduling Efficiency Advanced job queuing and scheduling capabilities for optimal resource use. |
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Bursting to Cloud Ability to overflow capacity to a public cloud when on-premise is full. |
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Total Cluster Theoretical FLOPS Peak floating point operations per second. |
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Total Storage Capacity Aggregate amount of storage available across the cluster. |
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High-Speed Storage (e.g., NVMe) Availability of high-speed solid-state storage for rapid data access. |
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Parallel File System Support Enables high-throughput data access among nodes (e.g., Lustre, GPFS). |
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Data Encryption at Rest Ensures data in storage is encrypted for security. |
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Data Encryption in Transit Ensures data moving between nodes is secure. |
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Automated Backup Scheduled or continuous backup capabilities for disaster recovery. |
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Support for Data Tiering Automatic movement of data between storage types based on usage. |
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Distributed Data Access Ability for nodes to access shared data concurrently. |
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Integration with Data Lakes Native or easy integration with large enterprise data lakes. |
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Storage Performance (IOPS) Maximum input/output operations per second. |
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Snapshot & Versioning Support for maintaining historical snapshots of data. |
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Data Compression Automatic compression of stored data to save space. |
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Seamless Data Migration Ease of migrating large datasets into or out of the HPC environment. |
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Audit Logging of Data Access Monitoring who accessed what data and when. |
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Data Retention Policies Enforcement of compliance-driven record-keeping requirements. |
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Support for Actuarial Modeling Languages Ability to run R, Python, SAS, MATLAB, etc. |
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Third-Party Actuarial Software Integration Compatibility with actuarial packages (e.g., Prophet, MoSes). |
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Model Version Control Built-in tracking and management of model versions. |
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Batch Processing Efficient handling of large numbers of model runs. |
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Scenario Analysis Speed Time taken to compute a full scenario set (lower is better). |
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Support for Stochastic Simulations Capability to efficiently run large-scale Monte Carlo simulations. |
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Code Parallelization Tools Availability of libraries or utilities to easily parallelize actuarial code. |
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Automated Model Deployment Mechanisms to automate pushing models into production. |
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Multi-Version Model Testing Enables side-by-side validation of different model versions. |
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Model Audit Trails Logged evidence of model changes and run history. |
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Integrated Documentation Tools Support for documentation generation and association with models. |
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Support for External Libraries Ability to run open-source or vendor-supplied actuarial/statistical libraries. |
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GPU-Enabled Model Execution Support for accelerating actuarial models on GPUs. |
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Interactive Development Environments Provides Jupyter, RStudio, or similar for code development and analysis. |
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Workflow Orchestration Management and automation of multi-step modeling workflows. |
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Single Sign-On (SSO) Integration with enterprise authentication (e.g., LDAP, Active Directory). |
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Multi-Factor Authentication Requires additional verification factors for access. |
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Role-Based Access Control Restricts access based on job function or user role. |
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Audit Logs Tracking and recording of all significant system and user actions. |
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Compliance Certifications Meets industry standards (e.g., ISO 27001, SOC 2, GDPR, NAIC). |
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Data Anonymization Tools Tools to mask or anonymize sensitive policyholder data. |
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Intrusion Detection & Prevention Active monitoring and responding to security threats. |
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Encryption Key Management Managing cryptographic keys securely. |
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Patch Management Automation Regular, automated operating system and software patching. |
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User Activity Monitoring Tracking user actions to detect inappropriate use. |
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Secure Data Transfer Protocols Standards such as SFTP, HTTPS for data transfers. |
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Retention and Deletion Policies Automated enforcement of data lifecycle policies. |
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Data Loss Prevention Tools Ability to prevent unauthorized data extraction. |
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Incident Response Workflows Pre-defined steps for handling suspected breaches. |
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End-to-End Encryption Data encrypted both in motion and at rest, including backups. |
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Job Scheduler Integrated workload scheduler for queuing and prioritizing jobs. |
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Job Queuing Handles and manages jobs that are waiting for resources. |
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Automated Job Submission API or interface to submit jobs automatically from other systems. |
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Preemptive Scheduling Higher-priority jobs can preempt currently running ones. |
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Job Dependency Management Specify execution order and dependencies between jobs. |
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Job Retry/Recovery Automatic retry or rollback if a job fails. |
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Job Status Tracking Track progress and final status of all jobs. |
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Real-Time Monitoring Dashboard Visual dashboard showing current and historical job activity. |
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Usage Quotas per Department/User Limit and monitor resource consumption by team or user. |
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Resource Reservation Ability to pre-reserve nodes/CPUs for specific runs or deadlines. |
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Policy-Based Automation Automate actions based on policy/rules (e.g., rerouting, notifications). |
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API Access for Job Management Programmatic interface for advanced job management and integration. |
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Email/SMS Alerts on Job Completion or Failure Automated notification methods for job status. |
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Historical Job Analytics Performance and usage trend analysis over time. |
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End-User Self-Service Portal Web-based interface for users to submit and monitor jobs. |
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Support for Common Data Formats Compatibility with CSV, Parquet, HDF5, etc. |
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Enterprise Data Warehouse Integration Direct connectivity to existing data warehouses/lakes. |
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APIs for Data Input/Output REST, gRPC, or similar APIs for moving data efficiently. |
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Workflow Integration with CI/CD Integration with build, test, and deployment pipelines. |
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Event/Message Bus Integration Native support for enterprise service buses or messaging systems. |
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External Archive System Support Seamless export and import with long-term archival systems. |
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Actuarial Software API Integration Connect directly with actuarial vendor platforms. |
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Data Synchronization Tools Automated, incremental synchronization between sources. |
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SAML/OAuth Integration Federated authentication and identity integration. |
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Excel Add-In/Integration Connection with Excel for input/output, reporting. |
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Custom Plugin Support Ability to add user-written extensions or connectors. |
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Batch Import/Export Interfaces Bulk data import/export for large actuarial runs. |
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Change Data Capture (CDC) Capture and sync data updates in near real-time. |
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ETL Tools Integration Seamless use with enterprise ETL (Extract, Transform, Load) tools. |
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API Rate Limits Maximum API calls allowed per unit time. |
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Web-Based Management Interface User-friendly web portals for managing jobs, resources, and results. |
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Collaboration Workspaces Shareable spaces for teams to upload, view, and discuss models or results. |
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User Customization Options Ability for users to personalize their environment (dashboards, layouts, settings). |
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Role-Based Dashboards Custom dashboards per user type (analyst, admin, manager, etc.). |
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Integrated Documentation Users can create/read technical documentation within the platform. |
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Real-Time Collaboration Editing Multiple users can edit and comment on code/notebooks simultaneously. |
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In-Platform Communication Tools Chat, annotation, or comment functionality. |
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User Training Modules Onboarding, tutorials, and context help available in-platform. |
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Usage Analytics Track platform usage, job stats, and user activity trends. |
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Accessibility Features Compliance with accessibility standards for impaired users. |
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Exportable Reports & Visualizations Easy export of outputs, charts, or findings as PDF, Excel, etc. |
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Search Functionality Search for data, models, documentation, and job results. |
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Automated Notifications User-customizable system notifications (e.g., job finish, review requests). |
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Task Assignment/Tracking Assign and track progress on tasks for modeling projects. |
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Approvals Workflow Ability to request, review, and approve model/result submissions. |
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Mean Time Between Failure (MTBF) Average time between system/component failures. |
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High Availability Architecture Redundant design for continuous system availability. |
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Job Completion SLA Guaranteed time to completion for standard job runs. |
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Automated Failover Automatic recovery in case of server or node failure. |
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Performance Monitoring Tools Real-time tracking of system/resource utilization and performance. |
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Hot/Cold Spare Nodes Spare nodes available for failover scenarios. |
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Real-Time Alerts for System Issues Instant notifications for hardware or software issues. |
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Scheduled Downtime Transparency Clear communications regarding planned maintenance. |
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Automated Resource Scaling System automatically adds or removes resources based on need. |
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Load Balancing Dynamic distribution of workloads among resources for efficiency. |
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Self-Healing Infrastructure The system can automatically detect and recover from common errors. |
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Disaster Recovery RPO/RTO Recovery Point/Time Objectives for returning to operation post-outage. |
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Transparent Upgrade Mechanisms Software or hardware upgrades implemented without user disruption. |
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Proactive Resource Contention Avoidance Mechanisms to predict and prevent resource conflicts. |
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Historical Performance Analytics Analysis and visualization of past performance and outages. |
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Usage-Based Cost Tracking Detailed logging and reporting based on actual consumption. |
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Cost Center Mapping Ability to track costs by department or business unit. |
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Forecasting of Resource Spend Predict future spend based on historical usage patterns. |
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Budgets & Alerts Users/departments can set usage budgets and receive alerts. |
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Chargeback/Showback Functionality Generate internal billing reports for usage. |
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Granular Billing Reports Highly detailed breakdowns by job, project, or user. |
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Historical Spend Analysis Tools to analyze and query past spending trends. |
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Pre-Usage Cost Estimator Estimate costs for jobs or data processing in advance. |
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Automated Cost Allocation Automatic division of costs among users/projects. |
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API for Cost Data Extraction Programmatic access to usage and billing data. |
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Multi-Currency Support Handle and report costs in various currencies. |
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Customizable Cost Categories Define and alter categories for expense grouping. |
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Integration with Corporate Finance Systems Push/pull expenditure data to/from ERP, GL, etc. |
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Tax Calculation Support Automatically apply relevant taxes to usage reports. |
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User-Friendly Reporting Dashboards Interactive dashboards for exploring costs. |
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24/7 Technical Support Around-the-clock support from vendor or IT staff. |
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Dedicated Customer Success Manager Assigned contact for proactive advice and escalation. |
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Online Knowledge Base Extensive documentation, FAQs, troubleshooting guides. |
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Community Support Forums Online user community and discussion forums. |
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Automated Diagnostic Tools Built-in utilities for self-diagnosing system issues. |
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Remote Access for Troubleshooting Support staff can access and troubleshoot remotely (with controls). |
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Automated Ticketing System Users can submit and track support issues online. |
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Service Level Agreement (SLA) Commitment to response and resolution times. |
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Patch and Upgrade Management Automated or scheduled delivery of system updates. |
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Usage and Performance Reporting for Support Support team can access system health statistics. |
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Custom Feature Request Process Users can formally submit requests for new capabilities. |
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Uptime/Availability Reporting Historical and real-time reporting of system uptime. |
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Escalation Procedures Clear process for critical incident escalation. |
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Support for Custom Integrations Help with connecting proprietary systems. |
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On-Premise and Cloud Support Options Support for both infrastructure types. |
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Plugin Architecture System supports extensions and third-party plugins. |
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Open Standards Support Compatible with industry-standard protocols and formats. |
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Custom Scripting Support Ability to write and execute scripts for automation or extension. |
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Loose Coupling with Other Systems System is architected for easy replacement/upgrading of components. |
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Modular Hardware Support Ability to add/remove hardware modules (e.g., new GPUs, FPGAs) without major downtime. |
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Upgradability System allows incremental hardware/software upgrades. |
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Long-Term Vendor Roadmap Transparent strategy for upcoming features, support, and compatibility changes. |
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Community or Ecosystem Contributions Active open-source or third-party development community. |
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Support for Emerging Technologies Ability to integrate with AI/ML hardware, quantum simulation, etc. |
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Backward Compatibility Ability to run older actuarial models/tools. |
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Sandbox/Test Environments Create isolated environments for development and experimentation. |
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Configurable Limits and Policies Admins can easily set/change resource or usage policies. |
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Documentation for Developers Comprehensive technical docs for extending or integrating the cluster. |
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Access to Beta Features Users can test features before general release. |
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Software Development Kit (SDK) Availability Official SDK for custom integration/extension. |
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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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