NVIDIA Fleet Command

Enhancing enterprise software solutions for AI-powered businesses

OVERVIEW

I spent the summer of 2022 as a UX Design Intern at NVIDIA, with the NVIDIA GPU Cloud (NGC) team. I had the opportunity to join forces with designers, UX researchers, engineers, and product managers to design new features for Fleet Command, NVIDIA's cloud-based platform for deploying and managing AI applications on edge devices. Although this project is under NDA, I would love to share my process and learnings from my 12 weeks at NVIDIA.

Please contact me for more details about my work at NVIDIA!

MY ROLE

UX Design Intern

TIMELINE

Jun – Sep 2022

TEAM

Laura Hanssen – Manager

Krissel Norris – Sr. UX Designer

Hsiao-Han Tseng – UX Designer

Adam Bronsther – Sr. UX Researcher

Project

AT A GLANCE

Project Summary

PROBLEM

A deceptively simple workflow

UX research shows that adding and pairing edge devices on Fleet Command is overly complicated, and dissuades customers from using Fleet Command to its full potential.

SOLUTION

An improved Fleet creation experience

I designed and delivered design specs for a new device adding and pairing flow, simplifying a once convoluted workflow into a three-step process.

IMPACT

Greater task completion, more flexibility

My designs are currently being implemented by the NGC engineering team! Users will be able to more easily create fleets and deploy software to their edge devices.

BACKGROUND

What is Fleet Command?

Fleet Command is a cloud platform that allows enterprise customers to manage, deploy, and scale AI applications on the devices that power their multi-million dollar, multi-national businesses.

Fleet Command operates at the edge, meaning that the devices involved require data processing. For better efficiency, this processing happens as close to the original data source as possible. At NVIDIA, where edge computing is combined with machine learning and AI software, this technology is called edge AI.

Diagram of Fleet Command's data infrastructure

Cross-industry use cases for edge AI

Fleet Command and edge AI have wide-spanning use cases, such as managing security surveillance systems, product inspection and quality control, retail loss prevention, hospital patient monitoring, and more. Because Fleet Command has so many critical use cases, it's essential that the platform be intuitive and adaptable.

TIMELINE

The product development life cycle – but make it 12 weeks

Week 1-2

Understanding Fleet Command

Week 3

Analyzing User Research Insights

Week 4-5

Early Designs and Brainstorming

Week 6-7

Further Design Explorations

Week 8

High-Fidelity Designs, Narrowed Scope

Week 9-10

Design Validation and Stakeholder Feedback

Week 11

Consolidating and Documenting Designs

Week 12

Final Design Review and Handoff

KEY DELIVERABLES

Owning designs, from concept to implementation

Designing a core feature for Fleet Command was far from a linear process. I was able to touch several features within the product and contribute to usability testing and long-term design strategy, making for lots of meaningful milestones along the way!

Delivered design specs for a streamlined device adding/pairing process in Fleet Command

Ideated and prototyped 10+ dashboard and landing page concepts for future production

Rapidly iterated wireframes based on feedback from design team, engineers, and product managers

Analyzed insights from usability testing to identify opportunities for UX improvements

Presented designs weekly to stakeholders to validate features and provide rationale for design decisions

Documented edge cases and error states to streamline implementation of designs

Utilized Kaizen UI design system to maintain consistency and align designs with existing patterns

REFLECTION

An experience greater than the sum of its parts

Collaborating with the NGC UX team was an immensely rewarding experience on multiple fronts. I had the privilege of working alongside seasoned designers and researchers and contributing to a world-class enterprise product, strengthening my design abilities and my self-confidence in the process.