Design System for enterprise platform managing AI workloads and GPU orchestration
Designing a Scalable Design System for Resource Management
This concept explores how infrastructure administrators can efficiently manage AI workloads and GPU resources across multiple tenants. The focus was on simplifying oversight and allocation workflows and on applying a proven design system approach with tokenized styles, reusable components, and scalable patterns that ensure consistency, faster handoff, and long term maintainability.
Challenges in Multi-Tenant Resource Management
Administrators needed a clearer way to balance resources across tenants and monitor system performance. Existing workflows were slow and inconsistent, and the absence of a shared design system increased complexity. The main challenges identified were:
Lack of a unified view of tenant allocations
Poor visibility into system health and resource usage in real time
Inefficient workflows for allocating and removing resources
No shared design system, resulting in duplicated components and inconsistent patterns across modules
How might we design a dashboard that simplifies allocation and monitoring while ensuring enterprise scalability through a consistent design system?
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SOLUTIONS
Strategic UX and Design System Improvements
To address these challenges, the design process focused on usability, scalability, and the application of a consistent design system:
Clear grouping and dashboard segmentation for easier navigation
Modals with adjustable resource sliders and usage indicators for faster allocation
Real time status indicators to improve oversight and reduce errors
Design tokens for typography, color, spacing, and elevation to unify the visual language
Reusable component variants with structured naming and defined states to replace redundant patterns
Governance practices and documentation to align design and development for smoother handoff
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RESULTS
Key Outcomes of the Dashboard Concept
The redesigned dashboard showed how resource management workflows could be simplified while ensuring scalability. Admin tasks became faster and more reliable with clearer oversight. The design system reduced inconsistencies across modules, accelerated screen design and prototyping, and created a scalable foundation that supports future growth.
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Core Flows
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Persona
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UI Screens
This project demonstrated my expertise in applying design systems at enterprise scale and gave me new insights into GPU and AI workload management. I explored how predictive allocation of CPU, memory, and GPUs can be supported by intelligent automation, and how orchestration differs from traditional infrastructure dashboards.
Personal Reflection
Product Designer
