Enterprise supercomputing platforms designed for the most demanding financial workloads, including complex derivative pricing, multi-factor risk models, and large-scale portfolio optimization for institutional investment managers.
Specialized hardware designed for computationally intensive tasks such as Monte Carlo simulations, optimization algorithms, and complex scenario modeling to support sophisticated strategy development.
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Node Count Total number of physical compute nodes within the cluster. |
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CPU Cores Aggregate number of processing cores available in the cluster. |
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GPU Acceleration Availability of GPU resources for parallel or accelerated computation. |
Cray/HPE platforms are known for GPU-enabled nodes supporting NVIDIA GPUs for compute acceleration. | |
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Total Computational Power Aggregate computational capacity of the cluster. |
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Memory per Node RAM available to each compute node for memory-intensive tasks. |
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Interconnect Speed Maximum bandwidth of the network interconnect between cluster nodes. |
No information available | |
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Low Latency Networking Support for low-latency communication protocols (e.g., Infiniband) for distributed computing. |
Low-latency networking such as Infiniband or Cray Slingshot is a core part of Cray architecture. | |
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Storage IOPS Input/output operations per second of primary storage. |
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High-Speed SSD Tier Presence of a high-speed SSD storage tier for fast data reads/writes. |
High-speed SSD tiers are standard in Cray clusters for fast swap and intermediate storage. | |
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Scalability Ability to increase computational resources quickly (vertical or horizontal scaling). |
Cray supercomputers are built for both scale-up and scale-out. | |
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High Availability Cluster redundancy and failover capabilities to ensure uptime. |
Cray/HPE clusters feature redundant power, network, and failover mechanisms for high availability. | |
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Job Scheduler Advanced job scheduling and queuing software for resource allocation. |
Cray ships with advanced workload/job scheduling software (e.g., Slurm, PBS Pro). | |
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Peak Power Consumption Peak electricity consumption during maximum load. |
No information available | |
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Burst Capability Capacity to handle load bursts above steady state. |
Burst compute capability delivered through dynamic workload/job scaling. |
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Total Storage Capacity Aggregate storage space available for data, models, and logs. |
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Data Ingestion Rate Rate at which system can import new datasets. |
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Support for Distributed File Systems Ability to utilize distributed file systems for efficient data access (e.g., HDFS, Lustre). |
Cray supports distributed file systems such as Lustre for high-efficiency access. | |
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Automated Backup Automated snapshotting and restoration features. |
Enterprise backup capabilities (snapshotting and restoration) are available as options. | |
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Data Encryption Data is encrypted at rest and in motion to meet security standards. |
Data encryption at rest and in motion supported for compliance-focused clients. | |
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Role-based Data Access Control Fine-grained controls over which users/groups have access to specific data. |
Role-based access (RBAC) is a staple of enterprise supercomputing for controlled data access. | |
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Data Retention Policy Management Configurable policies for data archival and disposal. |
Data retention and archiving policies can be enforced via storage management tools. | |
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Real-Time Stream Processing Ingestion and processing of data streams for live analytics. |
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Support for Multiple Data Formats Ability to handle various data types (CSV, Parquet, JSON, SQL, etc). |
System can ingest and process various data formats typical in financial workloads. | |
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API Access to Data Storage Direct programmatic access to stored datasets. |
APIs for data storage access can be configured in enterprise deployments. | |
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Data Lineage Tracking Tracking and documenting data transformations and movements. |
Data lineage tracking possible via enterprise data management/ETL tooling. | |
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Data Versioning Maintaining multiple versions of datasets for audit and rollback. |
Data versioning supported through file systems and data management integrations. | |
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Hybrid Cloud Storage Integration Ability to span on-premise and cloud storage seamlessly. |
Integration with hybrid cloud storage (HPE offerings, third-party cloud) is available. |
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End-to-End Encryption Encryption is applied from data source through storage and transmission. |
End-to-end encryption available as part of overall security/compliance suite. | |
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Audit Logging All critical user and system actions are logged for audit and compliance purposes. |
Audit logging is mandatory for regulated industries and supported in all deployments. | |
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Regulatory Compliance Certifications Compliance with standards such as GDPR, SOC 2, MiFID II, etc. |
Cray deployments can achieve certifications (SOC, GDPR, etc.) as part of enterprise IT compliance. | |
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Multi-Factor Authentication MFA required for user and administrator logins. |
Multi-factor authentication available via integration with enterprise identity managers. | |
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User Role Management Ability to set granular user permissions and roles. |
User role management is standard in enterprise solutions. | |
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Intrusion Detection System Automated systems to detect and respond to unauthorized activities. |
Intrusion detection systems available via integration or as part of managed services. | |
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Data Masking Personally identifiable data is masked or anonymized when needed. |
Data masking is supported for regulated data as required by financial industry. | |
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Access Review Workflows Automated and auditable review of user access rights. |
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Secure APIs All API endpoints are secured following industry standards (e.g., OAuth2, TLS). |
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Automated Security Patch Management System automatically deploys critical security updates. |
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Incident Response Procedures Documented and tested response plans for security incidents. |
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Preinstalled Quantitative Libraries Bundles of financial analytics, machine learning, and statistical packages (e.g., NumPy, pandas, TensorFlow, QuantLib). |
Financial and quantitative libraries can be pre-installed on request or by client. | |
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Algorithmic Trading Frameworks Built-in support for backtesting and live implementation of trading strategies. |
Backtesting/algorithmic trading supported through integration with industry software and in-house libraries. | |
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Support for Multiple Programming Languages Ability to run code in Python, R, C++, Matlab, etc. |
Cray/HPE clusters are programming language-agnostic: support Python, R, C++, MATLAB, etc. | |
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Visualization Tools Integrated support for dashboards and advanced data visualization. |
Enterprise visualization (dashboards, advanced charting) available; integrations to third-party tools possible. | |
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Simulation Engines Tools for Monte Carlo, scenario, and stress testing. |
Simulation engines for Monte Carlo/scenario/stress testing are a key use-case in financial services. | |
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Portfolio Optimization Built-in libraries for advanced risk and return optimization problems. |
Optimization toolkits (portfolio/risk optimization) are widely supported (QuantLib, custom code). | |
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Factor Model Integration Capability to build and analyze factor-based risk and performance models. |
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Machine Learning Model Lifecycle Management Facilities for model building, validation, deployment, and monitoring. |
Model lifecycle management achieved through integration with MLOps/data science tools. | |
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Real-Time Analytics Support Tools for low latency, high-frequency modeling and analytics. |
Real-time analytics are a supported financial workload for these platforms. | |
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Interactive Computing Environments Availability of Jupyter, RStudio, or equivalent environments for exploration. |
Support for Jupyter, RStudio, and other interactive FPGA/CPU/GPU job clients is available. | |
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Third-Party Model Marketplace Ability to access, evaluate, and integrate third-party models or analytics solutions. |
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Pipeline Orchestration Automated scheduling and orchestration of data science and investment modeling workflows. |
Pipeline/workflow orchestration supported by Slurm and integration with tools like Airflow. | |
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Job Scheduling Support for batch, real-time, and cron-based execution of jobs. |
Batch, real-time, and cron jobs all supported in Cray environments. | |
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Error Monitoring and Notification Automated alerts on job failures or anomalous outcomes. |
Error monitoring and alerting available via enterprise monitoring integrations. | |
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Workflow Templates Prebuilt templates for typical financial data and modeling workflows. |
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Parameterization Support Ability to parameterize jobs for backtesting and scenario analysis. |
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Interactive Debugging Capabilities Ability to step through workflows interactively for development purposes. |
Debugging facilities available in both command-line/remote and API-driven modes. | |
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Automated Report Generation Generation of research, performance, and compliance reports via automation. |
Automated report generation supported through integrations and workflow scripts. | |
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API-Driven Workflow Integration Integration of workflows with external systems and data feeds. |
APIs and SDKs allow workflow integration with external data feeds. | |
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Scheduling Constraints Customization of resource and time constraints on workflow execution. |
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Version Control Integration Integration with Git or similar tools for code and workflow versioning. |
Git and other VCS integrations supported for workflow and code version control. |
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Standardized APIs REST, SOAP, or GraphQL APIs for bidirectional data and process integration. |
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Prebuilt Data Feed Integrations Out-of-the-box support for integrating with major financial and market data providers. |
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Support for FIX Protocol Native support for FIX messaging in trading workflows. |
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Custom Connectors Easily extensible connectors for proprietary data sources or systems. |
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Cloud Service Integration Direct integration with leading public or private cloud offerings. |
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Excel Integration Ability to import/export and automate workflows with Excel. |
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Real-time Market Data Integration Capability to consume streaming market data feeds. |
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SaaS Platform Compatibility Interoperability with SaaS analytics or investment platforms. |
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Messaging & Notification Integration Hooks for email, SMS, or chat notifications for workflow and job status. |
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Open-Source Package Compatibility Ability to use widely adopted open-source libraries or tools. |
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Multi-user Access Support for concurrent access by multiple users. |
Cray systems are multi-user and designed for institutional/enterprise user concurrency. | |
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Granular Permission Control Detailed assignment of permissions at project, data, or job level. |
Fine-grained permissioning possible at job, project, data level via RBAC. | |
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Collaboration Workspaces Dedicated workspaces for project-based team collaboration. |
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Activity Logging Comprehensive logging of user activities and resource access. |
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Integration with SSO Providers Single sign-on (SSO) integration for enterprise directory services. |
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Commenting and Notation Tools Ability for users to add comments and notes on shared assets. |
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Shared Project Templates Reusable collaborative templates for common research or strategy workflows. |
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User Delegation Delegation of approval or workflow steps to alternate users. |
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Audit Trail Reporting Generating reports on user access and changes for compliance. |
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System Health Dashboards Real-time visualizations of cluster, resource, and workflow status. |
System health dashboards available; integration with HPE management tools. | |
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Resource Usage Metrics Detailed statistics on CPU, RAM, storage, and network usage. |
Resource usage metrics tracked and available through system monitoring dashboards. | |
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Automated Usage Reports Scheduled summary reporting of resource and user activity. |
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Alerting and Notification System Customizable threshold-based notifications for system events. |
Alerting and notification on system events and thresholds is standard. | |
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Cost Tracking and Reporting Visibility into consumption-based or chargeback costs. |
Cost tracking possible via integration with enterprise billing and monitoring. | |
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Job Execution Logs Retention of detailed logs for each computational job. |
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Performance Benchmarking Tools Methods to evaluate and compare cluster performance over time. |
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Compliance Reporting Automated generation of compliance and regulatory reports. |
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Custom Report Builder Flexible construction of custom reports and dashboards. |
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External Audit Support Features to facilitate third-party audit and validation. |
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Geographic Redundancy Replication of data and services across multiple geographic locations. |
Geographic redundancy achieved via multi-site deployments and replication architectures. | |
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Automated Failover Automatic redirection to backup systems upon failure. |
Automated failover supported by disaster recovery planning and managed services. | |
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Regular Disaster Recovery Drills Routine simulation and validation of DR processes. |
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Snapshot Backups Regularly scheduled backups of environment and data. |
Snapshot backup options are available for data protection. | |
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Restore Time Objective (RTO) Typical time to restore service after a major outage. |
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Restore Point Objective (RPO) Maximum data loss window allowed by backup strategy. |
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Replication Latency Maximum age of replicated data between primary and backup facilities. |
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Business Continuity Planning Support Integrated planning and documentation tools for business continuity. |
Cray/HPE offer support for business continuity planning and documentation tools. | |
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Immutable Backup Storage Backups cannot be deleted or altered (protection against ransomware). |
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Self-Healing Infrastructure Automated identification and repair of certain types of hardware/software failures. |
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Flexible Deployment Options On-premises, cloud, and hybrid deployment capabilities. |
Flexible deployment on-premises, cloud (HPE GreenLake), or hybrid options offered. | |
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Automated Provisioning Tools to quickly set up and configure cluster nodes and storage. |
Automated provisioning tools are available for cluster setup and expansion. | |
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Rolling Upgrades Cluster maintenance and software upgrades can occur without downtime. |
Rolling upgrades with minimal downtime supported via advanced cluster management. | |
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Containerization Support Support for Docker, Kubernetes, or similar for packaging and orchestrating workloads. |
Containerization (Docker, Kubernetes, Singularity) is supported on modern Cray systems. | |
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Automated Patch Management OS and package patches are automatically distributed and installed. |
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Configuration as Code Cluster configuration is managed and versioned declaratively. |
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Hardware Health Monitoring Automated monitoring of hardware (CPU, memory, drives, fans) for failure prediction. |
Health monitoring of hardware is included in Cray/HPE cluster management suites. | |
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Comprehensive Documentation Extensive and up-to-date documentation for installation, use, and troubleshooting. |
Extensive documentation provided by HPE for Cray deployments. | |
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24/7 Technical Support Round-the-clock access to technical support personnel. |
24/7 enterprise support available as a contracted service. | |
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Professional Services Availability Availability of vendor-provided consulting, integration, or custom engineering support. |
Professional services (consulting, integration, custom engineering) are core to enterprise Cray offerings. |
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