Ansys HPC Platform Services (HPS)
Developed by Ansys, Ansys HPC Platform Services (HPS) is a simulation workflow orchestration and HPC operations platform designed to simplify, automate, and scale engineering simulation workloads across on-premises, cloud, and hybrid computing environments. HPS provides browser-based, self-service access to HPC resources, end-to-end workflow automation, workload management, real-time monitoring, and resource optimization, transforming distributed compute into a governed, repeatable, and observable simulation operations layer for engineering teams.
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The SimOps Team distilled a set of the 20 major best practices drawn from over 230 engineering simulation projects, including three of the "Magnificent Seven", and 160 case studies, over the last 12 years. These best practices are grouped under the three 'Golden-Triangle' lenses of Technology, Process, and People, yet intentionally cross-reference one another, because SimOps only succeeds when the three act in concert. Together with the Ansys team, we compared major features and capabilities of the Ansys HPS with the SimOps best practices.
Why Ansys HPS Platform is SimOps Compliant
In the following, we check the SimOps compliance of the Ansys HPS platform. HPS is, at its core, an operational enablement platform: it focuses on simulation execution, orchestration, workflow repeatability, resource utilization, and operational scalability. With the capabilities below, HPS provides a strong, scalable foundation for organizations implementing SimOps, empowering engineering teams to maximize the value, efficiency, and observability of their simulation-driven operations, while broader governance, workforce, and enterprise-wide strategy capabilities are addressed through complementary organizational processes and platforms.
1. Simulation-Driven Decision Culture
HPS supports simulation-driven decision-making by centralizing simulation execution, monitoring, workflow orchestration, and results visibility across the organization. By making execution and outcomes accessible through browser-based interfaces and automation, HPS lowers the barrier to running and acting on simulation. Its primary contribution is operational: it enables execution and scalability rather than directly driving cultural transformation, executive governance, or enterprise-wide decision frameworks, which typically require organizational programs and leadership processes that sit alongside the platform.
SimOps Compliance Level: Medium
2. Shift-Left Simulation
HPS supports earlier simulation adoption by simplifying job submission, automating workflows, and integrating with engineering applications. Engineers can launch simulations rapidly and automate iterative workflows across distributed resources, accelerating the feedback loop between design and analysis. HPS itself does not provide low-fidelity acceleration, conceptual design optimization, or early-stage engineering methodologies; true shift-left also depends on upstream methods, model simplification strategies, and design-stage workflows that sit above this platform layer.
SimOps Compliance Level: Medium
3. End-to-End Workflow Automation
Workflow automation is one of HPS's strongest capabilities and its clearest "SimOps fit." The platform orchestrates complete pipelines including preprocessing, meshing, solver execution, postprocessing, monitoring, parameter handling, and file collection. Task dependencies, sequencing, retries, reusable templates, custom scripts, and REST APIs enable repeatable, enterprise-grade automation that directly addresses the operational heart of SimOps: repeatability, orchestration, and automation at scale.
SimOps Compliance Level: High
4. Self-Service Simulation Access
The HPS web application provides a browser-based self-service portal for submitting jobs, managing projects, configuring hardware requirements, monitoring execution, accessing logs, downloading results, and collaborating, all without requiring direct HPC administrator involvement. This closely aligns with democratizing simulation access. Self-service portals are a practical SimOps accelerator: they reduce operational bottlenecks, standardize the user experience, and broaden access without increasing administrative load.
SimOps Compliance Level: High
5. Hybrid / Cloud HPC Strategy
HPS strongly supports hybrid-cloud HPC through integrations with cloud platforms and heterogeneous environments. The architecture enables distributing workloads across diverse resources, while autoscaling and cloud bursting support elastic scaling, closely aligning with hybrid-cloud operations. Hybrid execution combined with elasticity is one of the most direct operational mappings to SimOps at scale, and HPS is highly capable in this domain.
SimOps Compliance Level: High
6. SimOps Center of Excellence Enablement
HPS provides the technical foundations that can support a SimOps Center of Excellence through standard templates, workflow reuse, centralized management, and shared visibility. These capabilities make simulation operations more reproducible and consistent across teams. However, a CoE is fundamentally organizational, spanning people, process, governance, and change management, and HPS does not directly provide governance structures, training governance, process frameworks, or CoE operational methodologies. HPS can be a key tool used by a CoE rather than the CoE itself.
SimOps Compliance Level: High
7. Data Governance and Security
HPS includes authentication, role-based access control (RBAC), permissions, project sharing controls, file management, and secure cloud deployment integrations, providing a solid foundation for operational governance and security. These features cover access control and operational security well. Deeper enterprise governance, such as data lineage, compliance auditing, enterprise metadata management, and AI governance, is comparatively limited and typically requires dedicated enterprise governance layers alongside HPS.
SimOps Compliance Level: Medium
8. Simulation Cost Tracking and Optimization
HPS improves utilization through orchestration, resource allocation, autoscaling, queue management, and execution policies, indirectly supporting cost optimization via computational efficiency. Better utilization and elasticity inherently aid cost outcomes. However, explicit cost forecasting and financial governance require dedicated measurement and analytics capabilities that sit outside the platform, so HPS contributes to cost optimization primarily through efficiency rather than direct financial management.
SimOps Compliance Level: Medium
9. Cross-Functional Collaboration
Centralized management, shared project access, role-based collaboration, web visibility, and common workflows improve collaboration between engineering and HPC operations teams. HPS supports collaboration around shared simulation artifacts and operational visibility, providing a single operational reference point. By design, it is not positioned as an enterprise collaboration process tool and does not provide structured collaboration cadences, team governance, or knowledge management capabilities.
SimOps Compliance Level: Medium
10. Version-Controlled Workflows
HPS supports reproducibility through reusable templates, task definitions, parameter management, execution settings, and archived projects, enabling teams to repeat and audit past simulation runs. Formal version control, such as native Git-based workflow versioning, semantic version control, infrastructure-as-code integration, and enterprise DevOps workflow management, is not central to the platform. HPS delivers practical reproducibility without full software-style version-control workflows.
SimOps Compliance Level: Medium
11. End-to-End Data Lifecycle Management
HPS provides lifecycle capabilities including input/output management, file collection, archiving, restore, retention policies, file monitoring, and automated cleanup, offering strong operational data handling within simulation execution. Advanced AI-ready pipelines, enterprise metadata indexing, large-scale data lakes, and governed analytics pipelines sit outside its primary focus and typically require complementary platforms such as Ansys Minerva for the broader enterprise data lifecycle.
SimOps Compliance Level: Medium
12. AI/ML and Digital-Twin Enablement
HPS can act as an orchestration backbone for AI/ML and digital-twin workflows by automating simulation execution and integrating with optimization environments. This makes it a valuable pipeline layer for data generation and model-in-the-loop simulation. It does not, however, provide native AI model lifecycle management, surrogate modeling frameworks, operational digital twins, or advanced predictive analytics pipelines. The ML and digital-twin lifecycle components remain distinct capabilities that integrate with, rather than reside natively in, HPS.
SimOps Compliance Level: Enabling
13. Performance Benchmarking and Tuning
HPS provides comprehensive monitoring, evaluator performance tracking, job lifecycle visibility, execution metrics, resource visibility, logging, and workload monitoring. This robust suite of operational visibility enables benchmarking, bottleneck identification, and continuous performance tuning of simulation environments, aligned with SimOps performance best practices. Continuous performance tuning is inherently tied to visibility and metrics, which HPS emphasizes throughout.
SimOps Compliance Level: High
14. Continuous Feedback Loops
HPS supports operational feedback via dashboards, job status tracking, evaluator messages, logs, performance visibility, and workflow analytics, creating closed-loop visibility into completed and in-progress simulation activity. Structured post-mortems, enterprise operational analytics, organizational learning frameworks, and governance processes are not embedded in the platform. Improvement loops that involve process, accountability, and learning governance require broader organizational adoption and complementary tooling.
SimOps Compliance Level: Medium
15. Onboarding and Upskilling
HPS simplifies onboarding through an accessible user experience, reusable templates, centralized workflows, and integrated interfaces that let new engineers become productive quickly within standardized environments. Formal learning management, competency tracking, training frameworks, certification workflows, and structured upskilling programs imply managed curricula and tracking that are not part of HPS, and would be delivered through complementary enablement programs.
SimOps Compliance Level: Medium
16. User-Experience Monitoring
HPS includes real-time operational visibility through automatic refresh, live monitoring, evaluator tracking, dashboards, solver log streaming, queue visibility, progress indicators, and performance monitoring. These capabilities deeply improve transparency and user-experience observability, allowing engineers to understand simulation progress and resource consumption in real time. This is one of the domains where HPS is exceptionally strong.
SimOps Compliance Level: High
17. License & Hardware Utilization Optimization
The evaluator-based architecture dynamically allocates compatible resources and supports queue selection, GPU allocation, execution policies, retries, and autoscaling. Integration with heterogeneous infrastructure and workload prioritization improves both license utilization and hardware efficiency, helping organizations maximize the value of expensive HPC resources and software licenses. This is one of HPS's strongest SimOps-aligned operational areas.
SimOps Compliance Level: High
18. PLM / CAD / Pipeline Integration
HPS integrates with major Ansys applications and provides REST APIs that support broader enterprise integrations, enabling simulation execution to connect into wider engineering toolchains. Automated PLM synchronization, CI/CD-native automation, and broader DevOps ecosystem integrations typically require custom development, as deep PLM/CI/CD integration is usually enterprise-specific rather than guaranteed out of the box. HPS provides the API foundation on which such integrations are built.
SimOps Compliance Level: Medium
19. Sustainability Metrics Tracking
HPS indirectly supports sustainability through improved hardware utilization, autoscaling, hybrid orchestration, and workload optimization, all of which reduce unnecessary compute cycles. Native sustainability dashboards, energy-aware scheduling, carbon tracking, renewable-energy optimization, and energy analytics are not core capabilities, since sustainability metrics require explicit, dedicated measurement and reporting features. The platform's efficiency gains provide a foundation that complementary reporting tools can build upon.
SimOps Compliance Level: Enabling
20. Maturity-Model Progression
HPS provides foundational operational capabilities, standardization, automation, collaboration, and visibility, that help organizations evolve toward scalable simulation operations. It aligns most strongly with the Scale stage of the SimOps Maturity Model and partially supports the Optimize stage when combined with complementary enterprise data, AI, governance, and analytics platforms. Maturity assessments, KPI benchmarking, transformation roadmaps, and formal maturity governance are organizational processes rather than native platform capabilities, so HPS supports maturity progression in operations while the broader "compass" requires governance and measurement frameworks outside the software.
SimOps Compliance Level: High
Ansys HPC Platform Services Workflow
The analysis above demonstrates the SimOps compliance of the Ansys HPS platform. HPS reaches a High compliance level across the operational core of SimOps, workflow automation, self-service access, hybrid-cloud HPC, performance benchmarking, user-experience monitoring, and license and hardware utilization, while delivering Medium compliance across decision culture, governance, collaboration, cost, and maturity practices that depend on complementary organizational processes, and Enabling capability for AI/ML, digital-twin, and sustainability workflows where it serves as an orchestration and efficiency foundation.
Ansys HPS is positioned as a strong SimOps operational enablement platform that excels in workflow orchestration, automation, self-service HPC operations, hybrid-cloud execution, resource optimization, and operational visibility. Its primary value lies in enabling scalable simulation operations and reducing operational complexity, aligning most closely with the SimOps Scale (Walk) maturity stage and contributing to the Optimize (Run) stage when integrated with complementary platforms for data management, AI, governance, and analytics. Organizations seeking broader SimOps transformation, including governance, workforce enablement, AI-driven engineering, maturity management, and enterprise-wide simulation strategy, should view HPS as a foundational operational component within a larger SimOps ecosystem rather than as a complete SimOps solution.
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