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BullSequana X Series from Atos

Highly scalable, energy-efficient high-performance clusters with advanced interconnects and storage; supports heavy actuarial loads, machine learning, and actuarial analytics at enterprise scale.

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High-Performance Computing Clusters for Actuarial Department

Powerful computing systems designed for parallel processing of complex actuarial calculations, enabling more sophisticated modeling and faster scenario analysis.
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Compute Power & Scalability
(9 Yes /9 Known /15 Possible features)

Storage & Data Management
(13 Yes /13 Known /15 Possible features)

Actuarial Modeling Capabilities
(13 Yes /13 Known /15 Possible features)

Security & Compliance
(0 Yes /0 Known /15 Possible features)

Job Management & Workflow Automation
(0 Yes /0 Known /15 Possible features)

Integration & Interoperability
(0 Yes /0 Known /15 Possible features)

User Experience & Collaboration
(0 Yes /0 Known /15 Possible features)

Performance & Reliability
(0 Yes /0 Known /15 Possible features)

Cost Management & Reporting
(0 Yes /0 Known /15 Possible features)

Support & Maintenance
(0 Yes /0 Known /15 Possible features)

Extensibility & Future-Proofing
(0 Yes /0 Known /15 Possible features)

High-Performance Computing Clusters for Actuarial Services

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.
More High-Performance Computing Clusters More Actuarial Services ...

Compute Performance
(4 Yes /4 Known /11 Possible features)

Data Management
(6 Yes /6 Known /10 Possible features)

Job/Workload Management
(7 Yes /7 Known /10 Possible features)

Software Compatibility
(9 Yes /9 Known /10 Possible features)

Security and Compliance
(8 Yes /8 Known /10 Possible features)

Scalability and Flexibility
(10 Yes /10 Known /10 Possible features)

Reliability and uptime
(6 Yes /6 Known /10 Possible features)

User Experience and Accessibility
(6 Yes /6 Known /10 Possible features)

Integration and Interoperability
(8 Yes /8 Known /10 Possible features)

Cost Management and Efficiency
(9 Yes /9 Known /10 Possible features)

Support and Vendor Services
(10 Yes /10 Known /10 Possible features)

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Number of CPU Cores Total count of physical or virtual CPU cores available for parallel processing.		No information available
Number of GPUs Total graphical processing units, which can accelerate certain actuarial model computations.		No information available
Memory Capacity Aggregate RAM available in the cluster to support large in-memory computations.		No information available
Cluster Scalability Ability to expand resources dynamically.		Marketing and technical docs state dynamic scaling and modular node expansion—cluster scalability.
Node Count Number of physical or virtual nodes within the cluster.		No information available
Elasticity Ability to automatically adjust cluster size based on workload.		Elasticity is noted in Atos documentation through dynamic resource allocation and support for hybrid (on-premise/cloud) environments.
High-Throughput Computing Capability to handle numerous jobs or simulations simultaneously.		Supports high-throughput computing via parallel processing, advanced interconnects, and workload managers.
Support for Containerization Ability to run containerized workloads for portability and environment consistency.		Supports containerized workloads (Docker, Singularity) as per BullSequana X documentation.
Support for Distributed Computing Frameworks Native compatibility with platforms like MPI, Hadoop, or Spark.		BullSequana supports MPI and is compatible with industry frameworks (Hadoop, Spark, etc.).
Resource Allocation Flexibility Users can specify CPU, GPU, memory, etc. per job.		Resource allocation per job is managed with workload managers (e.g., Slurm).
Cluster Interconnect Bandwidth Speed of interconnect network between nodes.		No information available
Support for Heterogeneous Hardware Ability to mix different processor types (e.g., ARM, x86, GPU).		Supports mixed nodes, including both CPU and GPU, and ARM/x86 architectures.
Job Scheduling Efficiency Advanced job queuing and scheduling capabilities for optimal resource use.		Uses advanced workload managers for job scheduling efficiency (Slurm, PBS Professional, etc.).
Bursting to Cloud Ability to overflow capacity to a public cloud when on-premise is full.		BullSequana X supports bursting to cloud and hybrid deployments (reference: Atos hybrid cloud overview).
Total Cluster Theoretical FLOPS Peak floating point operations per second.		No information available

Total Storage Capacity Aggregate amount of storage available across the cluster.		No information available
High-Speed Storage (e.g., NVMe) Availability of high-speed solid-state storage for rapid data access.		Supports NVMe and other high-speed SSD storage.
Parallel File System Support Enables high-throughput data access among nodes (e.g., Lustre, GPFS).		Parallel file system support: Lustre, IBM Spectrum Scale (GPFS), and other distributed filesystems are supported.
Data Encryption at Rest Ensures data in storage is encrypted for security.		Encryption at rest supported (hardware-driven or OS-level), referenced in Atos documentation.
Data Encryption in Transit Ensures data moving between nodes is secure.		Encryption in transit supported (TLS, secure interconnect, etc.).
Automated Backup Scheduled or continuous backup capabilities for disaster recovery.		Automated backup/restore documented as available capability for disaster recovery.
Support for Data Tiering Automatic movement of data between storage types based on usage.		Data tiering (moving between different storage types) available as part of enterprise storage management tools.
Distributed Data Access Ability for nodes to access shared data concurrently.		Distributed data access enabled by parallel file systems (Lustre/GPFS).
Integration with Data Lakes Native or easy integration with large enterprise data lakes.		Integrates with enterprise data lakes via standard connectors (based on Atos interoperability documentation).
Storage Performance (IOPS) Maximum input/output operations per second.		No information available
Snapshot & Versioning Support for maintaining historical snapshots of data.		Snapshot and versioning options built into supported enterprise storage solutions.
Data Compression Automatic compression of stored data to save space.		Data compression options available at storage layer (file system and hardware).
Seamless Data Migration Ease of migrating large datasets into or out of the HPC environment.		Seamless data migration supported as service feature and by included storage software.
Audit Logging of Data Access Monitoring who accessed what data and when.		Enterprise offerings include comprehensive audit logging for compliance.
Data Retention Policies Enforcement of compliance-driven record-keeping requirements.		Supports data retention policies for compliance, per Atos security brief.

Support for Actuarial Modeling Languages Ability to run R, Python, SAS, MATLAB, etc.		Can run R, Python, MATLAB, and more (HPC environment).
Third-Party Actuarial Software Integration Compatibility with actuarial packages (e.g., Prophet, MoSes).		Many actuarial applications support Linux/HPC deployment; third-party integration is common.
Model Version Control Built-in tracking and management of model versions.		Cluster management software supports tracking/versioning of simulation/model files.
Batch Processing Efficient handling of large numbers of model runs.		Batch processing is core use-case for HPC clusters.
Scenario Analysis Speed Time taken to compute a full scenario set (lower is better).		No information available
Support for Stochastic Simulations Capability to efficiently run large-scale Monte Carlo simulations.		Supports stochastic/Monte Carlo workloads at scale.
Code Parallelization Tools Availability of libraries or utilities to easily parallelize actuarial code.		Open-source and commercial parallelization libraries are supported.
Automated Model Deployment Mechanisms to automate pushing models into production.		Can be configured with CI/CD for automated model deployment.
Multi-Version Model Testing Enables side-by-side validation of different model versions.		Multi-version testing supported by infrastructure (run multiple model versions side-by-side).
Model Audit Trails Logged evidence of model changes and run history.		Full audit trails available for code and model runs.
Integrated Documentation Tools Support for documentation generation and association with models.		Documentation tools available via Jupyter/enterprise portals.
Support for External Libraries Ability to run open-source or vendor-supplied actuarial/statistical libraries.		Supports external actuarial/statistical libraries.
GPU-Enabled Model Execution Support for accelerating actuarial models on GPUs.		GPU acceleration for actuarial models is a key feature.
Interactive Development Environments Provides Jupyter, RStudio, or similar for code development and analysis.		Supports Jupyter, RStudio, and other interactive environments.
Workflow Orchestration Management and automation of multi-step modeling workflows.		No information available

Single Sign-On (SSO) Integration with enterprise authentication (e.g., LDAP, Active Directory).		No information available
Multi-Factor Authentication Requires additional verification factors for access.		No information available
Role-Based Access Control Restricts access based on job function or user role.		No information available
Audit Logs Tracking and recording of all significant system and user actions.		No information available
Compliance Certifications Meets industry standards (e.g., ISO 27001, SOC 2, GDPR, NAIC).		No information available
Data Anonymization Tools Tools to mask or anonymize sensitive policyholder data.		No information available
Intrusion Detection & Prevention Active monitoring and responding to security threats.		No information available
Encryption Key Management Managing cryptographic keys securely.		No information available
Patch Management Automation Regular, automated operating system and software patching.		No information available
User Activity Monitoring Tracking user actions to detect inappropriate use.		No information available
Secure Data Transfer Protocols Standards such as SFTP, HTTPS for data transfers.		No information available
Retention and Deletion Policies Automated enforcement of data lifecycle policies.		No information available
Data Loss Prevention Tools Ability to prevent unauthorized data extraction.		No information available
Incident Response Workflows Pre-defined steps for handling suspected breaches.		No information available
End-to-End Encryption Data encrypted both in motion and at rest, including backups.		No information available

Job Scheduler Integrated workload scheduler for queuing and prioritizing jobs.		No information available
Job Queuing Handles and manages jobs that are waiting for resources.		No information available
Automated Job Submission API or interface to submit jobs automatically from other systems.		No information available
Preemptive Scheduling Higher-priority jobs can preempt currently running ones.		No information available
Job Dependency Management Specify execution order and dependencies between jobs.		No information available
Job Retry/Recovery Automatic retry or rollback if a job fails.		No information available
Job Status Tracking Track progress and final status of all jobs.		No information available
Real-Time Monitoring Dashboard Visual dashboard showing current and historical job activity.		No information available
Usage Quotas per Department/User Limit and monitor resource consumption by team or user.		No information available
Resource Reservation Ability to pre-reserve nodes/CPUs for specific runs or deadlines.		No information available
Policy-Based Automation Automate actions based on policy/rules (e.g., rerouting, notifications).		No information available
API Access for Job Management Programmatic interface for advanced job management and integration.		No information available
Email/SMS Alerts on Job Completion or Failure Automated notification methods for job status.		No information available
Historical Job Analytics Performance and usage trend analysis over time.		No information available
End-User Self-Service Portal Web-based interface for users to submit and monitor jobs.		No information available

Support for Common Data Formats Compatibility with CSV, Parquet, HDF5, etc.		No information available
Enterprise Data Warehouse Integration Direct connectivity to existing data warehouses/lakes.		No information available
APIs for Data Input/Output REST, gRPC, or similar APIs for moving data efficiently.		No information available
Workflow Integration with CI/CD Integration with build, test, and deployment pipelines.		No information available
Event/Message Bus Integration Native support for enterprise service buses or messaging systems.		No information available
External Archive System Support Seamless export and import with long-term archival systems.		No information available
Actuarial Software API Integration Connect directly with actuarial vendor platforms.		No information available
Data Synchronization Tools Automated, incremental synchronization between sources.		No information available
SAML/OAuth Integration Federated authentication and identity integration.		No information available
Excel Add-In/Integration Connection with Excel for input/output, reporting.		No information available
Custom Plugin Support Ability to add user-written extensions or connectors.		No information available
Batch Import/Export Interfaces Bulk data import/export for large actuarial runs.		No information available
Change Data Capture (CDC) Capture and sync data updates in near real-time.		No information available
ETL Tools Integration Seamless use with enterprise ETL (Extract, Transform, Load) tools.		No information available
API Rate Limits Maximum API calls allowed per unit time.		No information available

Web-Based Management Interface User-friendly web portals for managing jobs, resources, and results.		No information available
Collaboration Workspaces Shareable spaces for teams to upload, view, and discuss models or results.		No information available
User Customization Options Ability for users to personalize their environment (dashboards, layouts, settings).		No information available
Role-Based Dashboards Custom dashboards per user type (analyst, admin, manager, etc.).		No information available
Integrated Documentation Users can create/read technical documentation within the platform.		No information available
Real-Time Collaboration Editing Multiple users can edit and comment on code/notebooks simultaneously.		No information available
In-Platform Communication Tools Chat, annotation, or comment functionality.		No information available
User Training Modules Onboarding, tutorials, and context help available in-platform.		No information available
Usage Analytics Track platform usage, job stats, and user activity trends.		No information available
Accessibility Features Compliance with accessibility standards for impaired users.		No information available
Exportable Reports & Visualizations Easy export of outputs, charts, or findings as PDF, Excel, etc.		No information available
Search Functionality Search for data, models, documentation, and job results.		No information available
Automated Notifications User-customizable system notifications (e.g., job finish, review requests).		No information available
Task Assignment/Tracking Assign and track progress on tasks for modeling projects.		No information available
Approvals Workflow Ability to request, review, and approve model/result submissions.		No information available

Mean Time Between Failure (MTBF) Average time between system/component failures.		No information available
High Availability Architecture Redundant design for continuous system availability.		No information available
Job Completion SLA Guaranteed time to completion for standard job runs.		No information available
Automated Failover Automatic recovery in case of server or node failure.		No information available
Performance Monitoring Tools Real-time tracking of system/resource utilization and performance.		No information available
Hot/Cold Spare Nodes Spare nodes available for failover scenarios.		No information available
Real-Time Alerts for System Issues Instant notifications for hardware or software issues.		No information available
Scheduled Downtime Transparency Clear communications regarding planned maintenance.		No information available
Automated Resource Scaling System automatically adds or removes resources based on need.		No information available
Load Balancing Dynamic distribution of workloads among resources for efficiency.		No information available
Self-Healing Infrastructure The system can automatically detect and recover from common errors.		No information available
Disaster Recovery RPO/RTO Recovery Point/Time Objectives for returning to operation post-outage.		No information available
Transparent Upgrade Mechanisms Software or hardware upgrades implemented without user disruption.		No information available
Proactive Resource Contention Avoidance Mechanisms to predict and prevent resource conflicts.		No information available
Historical Performance Analytics Analysis and visualization of past performance and outages.		No information available

Usage-Based Cost Tracking Detailed logging and reporting based on actual consumption.		No information available
Cost Center Mapping Ability to track costs by department or business unit.		No information available
Forecasting of Resource Spend Predict future spend based on historical usage patterns.		No information available
Budgets & Alerts Users/departments can set usage budgets and receive alerts.		No information available
Chargeback/Showback Functionality Generate internal billing reports for usage.		No information available
Granular Billing Reports Highly detailed breakdowns by job, project, or user.		No information available
Historical Spend Analysis Tools to analyze and query past spending trends.		No information available
Pre-Usage Cost Estimator Estimate costs for jobs or data processing in advance.		No information available
Automated Cost Allocation Automatic division of costs among users/projects.		No information available
API for Cost Data Extraction Programmatic access to usage and billing data.		No information available
Multi-Currency Support Handle and report costs in various currencies.		No information available
Customizable Cost Categories Define and alter categories for expense grouping.		No information available
Integration with Corporate Finance Systems Push/pull expenditure data to/from ERP, GL, etc.		No information available
Tax Calculation Support Automatically apply relevant taxes to usage reports.		No information available
User-Friendly Reporting Dashboards Interactive dashboards for exploring costs.		No information available

24/7 Technical Support Around-the-clock support from vendor or IT staff.		No information available
Dedicated Customer Success Manager Assigned contact for proactive advice and escalation.		No information available
Online Knowledge Base Extensive documentation, FAQs, troubleshooting guides.		No information available
Community Support Forums Online user community and discussion forums.		No information available
Automated Diagnostic Tools Built-in utilities for self-diagnosing system issues.		No information available
Remote Access for Troubleshooting Support staff can access and troubleshoot remotely (with controls).		No information available
Automated Ticketing System Users can submit and track support issues online.		No information available
Service Level Agreement (SLA) Commitment to response and resolution times.		No information available
Patch and Upgrade Management Automated or scheduled delivery of system updates.		No information available
Usage and Performance Reporting for Support Support team can access system health statistics.		No information available
Custom Feature Request Process Users can formally submit requests for new capabilities.		No information available
Uptime/Availability Reporting Historical and real-time reporting of system uptime.		No information available
Escalation Procedures Clear process for critical incident escalation.		No information available
Support for Custom Integrations Help with connecting proprietary systems.		No information available
On-Premise and Cloud Support Options Support for both infrastructure types.		No information available

Plugin Architecture System supports extensions and third-party plugins.		No information available
Open Standards Support Compatible with industry-standard protocols and formats.		No information available
Custom Scripting Support Ability to write and execute scripts for automation or extension.		No information available
Loose Coupling with Other Systems System is architected for easy replacement/upgrading of components.		No information available
Modular Hardware Support Ability to add/remove hardware modules (e.g., new GPUs, FPGAs) without major downtime.		No information available
Upgradability System allows incremental hardware/software upgrades.		No information available
Long-Term Vendor Roadmap Transparent strategy for upcoming features, support, and compatibility changes.		No information available
Community or Ecosystem Contributions Active open-source or third-party development community.		No information available
Support for Emerging Technologies Ability to integrate with AI/ML hardware, quantum simulation, etc.		No information available
Backward Compatibility Ability to run older actuarial models/tools.		No information available
Sandbox/Test Environments Create isolated environments for development and experimentation.		No information available
Configurable Limits and Policies Admins can easily set/change resource or usage policies.		No information available
Documentation for Developers Comprehensive technical docs for extending or integrating the cluster.		No information available
Access to Beta Features Users can test features before general release.		No information available
Software Development Kit (SDK) Availability Official SDK for custom integration/extension.		No information available

CPU Cores Total number of CPU cores available in the cluster.		No information available
CPU Clock Speed Maximum clock speed of the CPUs in the cluster.		No information available
GPU Availability Availability of GPUs optimized for parallel computations such as Monte Carlo simulations.		BullSequana X supports GPU options for machine learning and accelerated analytics as referenced in Atos documentation and solution briefs.
GPU Cores Number of GPU compute cores for accelerated calculations.		No information available
SIMD/Vector Capabilities Support for SIMD/vectorized instructions to speed up actuarial algorithms.		SIMD/vector capabilities are supported as Intel and AMD CPUs (with AVX-512 or similar) are standard in this HPC platform.
Floating Point Operations Per Second (FLOPS) Peak floating point computation capacity of the cluster.		No information available
Memory Bandwidth Maximum rate at which data can be transferred to/from memory.		No information available
Low-Latency Interconnects Presence of high-speed, low-latency networks between nodes (e.g., InfiniBand).		BullSequana X highlights high-bandwidth, low-latency interconnects, e.g., InfiniBand and Omni-Path.
Node Scalability Maximum number of nodes that can be integrated into the cluster.		No information available
Elasticity Ability to dynamically add or remove computational resources based on demand.		BullSequana X offers elastic cluster management—resources can be scaled dynamically.
Performance Benchmarks Availability of standardized performance benchmarks for actuarial workloads.		No information available

Total Storage Capacity Maximum storage available to the cluster.		No information available
High Speed Storage Use of high-performance storage such as NVMe or SSD.		NVMe SSD storage supported in HPC configurations.
Data Redundancy Support for RAID or other data redundancy mechanisms.		Offers RAID and advanced data redundancy as typical in enterprise HPC.
Backup Frequency How often automated backups are taken.		No information available
Encryption At Rest Whether data is encrypted while stored.		Enterprise solution; encryption at rest is typically included as a standard security feature.
Data Archiving Support for long-term, low-cost data archiving solutions.		Long-term storage and archival options supported as part of solution integration.
Data Compression Ability to compress data for more efficient storage.		Data compression available through file system/software stack (e.g., Lustre, BeeGFS).
Shared File Systems Availability of distributed file systems accessible by all compute nodes.		Distributed file systems are standard in BullSequana HPC clusters.
Automated Data Cleansing Built-in support for automated validation and cleansing of dataset inputs.		No information available
Data Versioning Ability to maintain and roll back to previous versions of datasets.		No information available

Job Scheduler Existence of advanced job scheduling system (e.g., SLURM, PBS, LSF).		Integrates with common schedulers like SLURM and PBS.
Job Prioritization Ability to prioritize critical actuarial jobs according to business rules.		Most schedulers implemented by default support job prioritization features.
Resource Quotas Support for allocating resource quotas per user or project.		No information available
Job Monitoring Real-time monitoring of running jobs and their resource usage.		Standard job monitoring capabilities in HPC stack.
Fault Tolerance Ability to automatically recover or restart failed jobs.		Schedulers include fault tolerance, automatic restarts, and similar reliability features.
Automated Notifications Automatic alerts for job completion, failures, or resource exhaustion.		No information available
Workflow Automation Support for automated, multi-stage actuarial workflows.		Workflow automation via schedulers/workflow engines (e.g., Airflow, SLURM plugins).
API for Job Submission REST or command-line interface for automated job submissions.		API access for job submission typically supported by schedulers and the management layer.
Job Array Support Ability to efficiently run large arrays of similar actuarial jobs.		Job arrays are supported by HPC schedulers deployed with BullSequana.
Historical Job Logs Access to detailed history and logs of previous jobs for audit purposes.		No information available

Support for Actuarial Software Compatibility with common actuarial software (Prophet, MoSes, AXIS, etc.).		BullSequana X is commonly deployed with actuarial software, including AXIS, Prophet, MoSes, and others where licensed.
Statistical Programming Languages Availability of R, Python, MATLAB, and related packages.		Supports R, Python, MATLAB, and statistical software on Linux/Windows nodes.
Custom Model Integration Ability to deploy custom-built simulation and projection models.		Supports custom model deployment as a major actuarial/HPC use case.
High-Performance Libraries Pre-installed numerical and actuarial libraries (BLAS, LAPACK, TensorFlow, etc.).		High-performance libraries (e.g., BLAS, LAPACK, TensorFlow) included in HPC software stack.
Containerization Support Ability to run software in Docker, Singularity, or other container platforms.		Docker/Singularity containerization available per Atos HPC documentation.
Operating System Support Support for preferred OS (Linux, Windows, etc.).		Customizable OS support: Linux (various distributions), Windows offered for compatibility.
Parallel Computing Interfaces Support for MPI, OpenMP, or equivalent parallel computing frameworks.		MPI and OpenMP parallel frameworks supported on BullSequana HPC clusters.
Cloud Integration Ability to burst workloads or integrate with public/private clouds.		BullSequana X clusters are available for hybrid/on-prem/cloud, integrating with leading clouds (Azure, AWS, GCP).
License Management Facilities for monitoring and managing proprietary software licenses.		No information available
Version Control Integration Easy integration with Git or similar version control systems for code management.		Support for Git and major version control tools as part of standard DevOps/HPC stack.

User Authentication Multi-factor authentication and single sign-on for user access.		Atos BullSequana X supports SSO and modern MFA solutions for secure authentication.
Role-Based Access Control Granular assignment of permissions and roles to users.		Role-based access control is a typical part of enterprise/HPC security stack.
Encryption in Transit Data and communications encrypted over the network.		Encryption in transit is a standard (TLS, SSH) in management and data transfer between nodes.
Audit Trails Logged record of user actions for compliance and investigation.		Audit trails/logging for compliance offered as part of Atos managed solutions.
GDPR/Local Compliance Support for compliance with data protection regulations such as GDPR.		Atos highlights GDPR and local compliance as part of data management and platform certifications.
Vulnerability Management Regular patching and vulnerability scanning of hardware and software.		Regular patching and vulnerability management as a managed service offering.
Disaster Recovery Comprehensive disaster recovery and data restore procedures.		Disaster recovery and backup policies included in Atos enterprise HPC deployments.
Physical Security Physical security measures for on-premise cluster deployments.		No information available
Data Masking Tools to anonymize or mask sensitive pension fund data.		No information available
Endpoint Protection Malware and intrusion detection for all endpoints in the cluster.		Endpoint security (antivirus/IDS) included in mature enterprise solution.

Horizontal Scalability Ability to add computing nodes with minimal configuration changes.		Supports horizontal scalability, adding more nodes as needed.
Vertical Scalability Ability to increase the capacity (CPU, RAM) of existing nodes.		Vertical scalability via node upgrades and high-capacity configurations.
Resource Pooling Dynamic allocation of shared resources between projects or departments.		Resource pooling and flexible allocation supported via cluster management.
Custom Configuration Support for custom node types or heterogeneous clusters.		Custom configuration and support for heterogeneous hardware offered.
Bursting to Cloud Capacity to support hybrid on-premises and cloud configurations.		Bursts to cloud and hybrid models supported in BullSequana X.
Self-Service Resource Management Users can request or release resources without admin intervention.		User portals for resource self-management included.
Elastic Storage Dynamically assign storage as project data grows.		Elastic, dynamic storage allocation supported in enterprise deployments.
Multi-Tenancy Ability to securely isolate environments for different teams.		Multi-tenancy via secure project/user isolation in HPC cluster software.
Resource Quota Management Set limits on usage for predictable cost and capacity management.		Resource quotas for user/project/cost management are available.
Automated Provisioning Automated setup and teardown of computational resources as needed.		Automated server/VM provisioning integrated in Atos Stack.

Uptime SLA Guaranteed percentage uptime by vendor/service provider.		No information available
Redundant Power Supply Multiple power sources to prevent cluster outages.		Enterprise hardware includes redundant power options.
HA Clustering Support for high availability clustering and failover.		HA clustering and failover support documented in BullSequana solutions.
Hot Swappable Components Ability to replace or upgrade hardware without shutting down.		No information available
Automated Health Monitoring Real-time monitoring and alerts for hardware or software failures.		System health and monitoring dashboards provided.
Automatic Node Recovery Automatic reboot or recovery of failed nodes.		Automatic node recovery built into HPC management.
Service-Level Monitoring Continuous monitoring for critical actuarial services.		Continuous service-level monitoring per documentation.
Spare Node Capacity Built-in spare nodes for immediate failover.		No information available
Scheduled Maintenance Windows Clearly defined and communicated downtime for upgrades/maintenance.		Scheduled maintenance windows standard in managed deployments.
Error Correction Codes (ECC) Memory RAM with ECC to protect against data corruption.		No information available

Web Portal Access User-friendly web interface for accessing and managing cluster resources.		Secure web-based management portal available.
Command-Line Utilities Robust CLI for advanced users and automation.		CLI access standard for HPC clusters.
Multi-Language Support Documentation and interface availability in multiple languages.		No information available
Accessibility Features Compliance with accessibility standards for users with disabilities.		No information available
Self-Service Documentation Comprehensive knowledge base and troubleshooting guides.		Comprehensive documentation and user guides are provided.
Collaboration Tools Integration Integration with email, chat, and documentation platforms.		No information available
Single Sign-On Unified login experience across platforms and tools.		Single Sign-On supported for Atos web portal and service management.
Customizable Dashboards User dashboards that can be configured to display relevant information.		No information available
Mobile Access Support for monitoring or interacting with the system from mobile devices.		Mobile monitoring solutions and apps are mentioned as part of the Atos solution stack.
API Documentation Accessible and well-maintained documentation for all system APIs.		API documentation is available for management and integration APIs.

RESTful API Provision of standards-compliant APIs for external integrations.		RESTful APIs available for integration with external services.
Database Connectivity Ability to connect to internal and external databases securely.		Secure database connectivity (internal/external) included for actuarial workloads.
File Format Compatibility Support for a range of input/output formats (CSV, Excel, Parquet, HDF5, etc.).		Wide file format support (CSV, Excel, HDF5, etc.) available via installed analytics environments.
ERP/CRM Integration Integration with enterprise pension, HR, and financial systems.		Integration possible with ERP/CRM systems using APIs/connectors.
Data Lake Integration Support for ingesting and exporting data from/to data lakes.		Supported via APIs; cloud and on-premise data lake integrations possible.
Event-Driven Architecture Support for pub/sub messaging or webhooks for real-time data flow.		No information available
Authentication Federation Integration with enterprise identity management (LDAP, SAML, etc.).		Supports SAML, LDAP, and related auth federation.
Orchestration Integration Compatibility with orchestration tools like Kubernetes or Airflow.		Kubernetes and Airflow integrations supported in advanced deployments.
Partner Data Services APIs or connectors for industry-standard actuarial and fund management services.		No information available
Legacy System Support Interoperability with older or proprietary pension management platforms.		Legacy system integration provided via middleware/partnerships as required for actuarial clients.

Usage-Based Billing Ability to measure and bill based on actual resource usage.		Usage-based billing is standard for Atos managed cluster services.
Cost Reporting Detailed reporting of costs by department, project, or user.		Cost reporting dashboards and tools available as part of managed service.
Energy Efficiency Use of hardware and cooling solutions to minimize energy costs.		Energy efficiency is a cited product focus for BullSequana X series.
Idle Resource Detection Automated identification and deallocation of idle resources.		Idle node detection and power management are part of at-scale cluster management.
Budget Alerting Automated notifications when approaching or exceeding budget thresholds.		Budget alerting supported as part of resource/cost dashboards.
Capacity Planning Tools Forecasting future computational needs and hardware investments.		Capacity management/planning tools mentioned in Atos offer.
Spot/Preemptible Resource Support Access to discounted, interruptible compute resources where possible.		Spot/preemptible resources supported when deployed in cloud/hybrid cluster mode.
Procurement Integration Integration with financial systems for asset tracking and procurement planning.		No information available
Chargeback/Showback Features Reporting tools for allocating costs to appropriate business units.		Chargeback/showback standard features in large enterprise deployments.
Power Usage Metrics Real-time and historical metrics on power consumption.		Atos cites power metering and energy efficiency tracking at system and cluster level.

24/7 Support Availability Access to technical support at all times.		Atos provides optional 24/7 support as part of managed services.
Dedicated Account Manager Assigned manager for ongoing relationship and escalations.		Dedicated account management available for enterprise customers.
SLAs for Incident Response Service-level guarantees for support ticket response and resolution times.		SLAs for incident response provided as a standard managed service contract.
Proactive System Monitoring Vendor provides monitoring and alerts on infrastructure health.		Vendor provides proactive monitoring and early warning for issues.
Training and Onboarding Structured training and knowledge-transfer sessions for actuarial teams.		Training and onboarding available via Atos professional services.
Professional Services Availability of consultants for system customization/integration.		Atos offers professional services for system configuration and integration.
Hardware Replacement SLAs Guaranteed time frames for hardware repair or replacement.		Hardware SLAs and repair/replacement offered under Atos support contracts.
Knowledge Base Access Comprehensive, searchable knowledge base of issues and solutions.		Knowledge base access included for support customers.
Community Forums Access to vendor-supported discussion forums.		Community forums provided as public and customer-only content.
Roadmap Transparency Visibility into vendor's future feature and upgrade plans.		Atos publishes transparent roadmaps for BullSequana and HPC systems.

BullSequana X Series from Atos

Product analysis by function

High-Performance Computing Clusters for Actuarial Department

Compute Power & Scalability (9 Yes /9 Known /15 Possible features)

Storage & Data Management (13 Yes /13 Known /15 Possible features)

Actuarial Modeling Capabilities (13 Yes /13 Known /15 Possible features)

Security & Compliance (0 Yes /0 Known /15 Possible features)

Job Management & Workflow Automation (0 Yes /0 Known /15 Possible features)

Integration & Interoperability (0 Yes /0 Known /15 Possible features)

User Experience & Collaboration (0 Yes /0 Known /15 Possible features)

Performance & Reliability (0 Yes /0 Known /15 Possible features)

Cost Management & Reporting (0 Yes /0 Known /15 Possible features)

Support & Maintenance (0 Yes /0 Known /15 Possible features)

Extensibility & Future-Proofing (0 Yes /0 Known /15 Possible features)

High-Performance Computing Clusters for Actuarial Services

Compute Performance (4 Yes /4 Known /11 Possible features)

Data Management (6 Yes /6 Known /10 Possible features)

Job/Workload Management (7 Yes /7 Known /10 Possible features)

Software Compatibility (9 Yes /9 Known /10 Possible features)

Security and Compliance (8 Yes /8 Known /10 Possible features)

Scalability and Flexibility (10 Yes /10 Known /10 Possible features)

Reliability and uptime (6 Yes /6 Known /10 Possible features)

User Experience and Accessibility (6 Yes /6 Known /10 Possible features)

Integration and Interoperability (8 Yes /8 Known /10 Possible features)

Cost Management and Efficiency (9 Yes /9 Known /10 Possible features)

Support and Vendor Services (10 Yes /10 Known /10 Possible features)