Ubisoft Expands AI Developer Access and Budget Management Strategies
With Unity Gateway, Ubisoft has rapidly scaled its developer access to AI tools, centralizing governance and streamlining operations for enhanced efficiency. This strategic shift is set to redefine their game development processes.
Key Facts
- Ubisoft scaled AI access from 200 to 4,000 developers in 5 months, highlighting rapid adoption potential.
- AI spend surged 158% with increased developer usage, indicating financial strain and need for cost control.
- Centralized Unity Gateway reduces integration complexity, revealing competitive advantage in operational efficiency.
- Custom monitoring tools enhance budget visibility, suggesting strategic shift towards accountable AI consumption.
- Future plans for team-level budgets indicate a proactive approach to managing AI resources and financial implications.
Summary
Summary
Ubisoft, a global video game creator and publisher, faced a challenge in scaling AI coding access for its thousands of developers. By implementing Databricks Unity Gateway, Ubisoft increased its active developer base from approximately 200 to over 4,000 in just five months, while centralizing AI governance and managing consumption effectively.
Background
Ubisoft is known for popular franchises such as Assassin’s Creed and Far Cry. Before deploying Unity Gateway, the company had a fragmented approach to AI coding, with individual teams experimenting with various tools through separate licenses and proofs of concept. This led to inefficiencies in onboarding and managing access to AI resources.
Challenge
The primary challenge was to provide thousands of developers with access to rapidly evolving AI models and coding tools without complicating provider integrations and incurring excessive costs. Ubisoft needed a scalable solution to manage the increasing demand for AI tools across its development teams.
Solution
Ubisoft leveraged Databricks Unity Gateway to create a centralized platform for AI coding. This solution allowed developers to access multiple AI models, including those from Anthropic and OpenAI, through a single endpoint. The Ubisoft Data Office pre-provisioned Databricks accounts for developers, and a custom installer automated the setup process, making it easy for developers to connect to the Unity Gateway without manual configurations.
Results
In just five months, Ubisoft scaled its active developer base from around 200 to over 4,000, achieving a 20x increase. The company also managed to keep pace with AI model innovations, enabling developers to access new models within 24–48 hours of release. Additionally, AI spend increased by 158% as usage grew, but the platform team gained visibility into consumption patterns, allowing for better management of costs.
Key Insights
Centralizing access to AI tools through a single gateway can significantly streamline operations and enhance developer productivity. Automating onboarding and configuration processes reduces friction, enabling rapid scaling. Furthermore, maintaining visibility into usage and costs is essential for managing AI resources effectively.
Customer Testimonial
“With Databricks Unity Gateway, the core Gateway capabilities are already there. We can spend less time building and rolling out the Gateway itself, and more time making sure developers are using these tools effectively and getting real value from them.” — Thomas Donadei, Technical Product Manager, Ubisoft.
Entities Mentioned
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Key Concepts
Definitions
- AI coding agents
- Tools that assist developers in writing code using artificial intelligence.
- Unity Gateway
- A platform that provides centralized access to various AI models and coding tools for developers.
- Tokenomics
- The study of the economic aspects of token usage within a platform, particularly in relation to AI consumption.
- Databricks
- A cloud-based platform that provides tools for data engineering, machine learning, and analytics.
- Personal Access Token (PAT)
- A secure token used to authenticate a user’s access to a system or service.
Use Cases
- →Scaling developer access to AI tools
- →Automating onboarding and configuration for developers
- →Tracking AI model consumption and costs
- →Managing AI spend across teams
- →Governance of AI tools and data
- →Facilitating rapid model innovation access
Frequently Asked Questions
How did Ubisoft scale its developer access to AI tools?
Ubisoft used Databricks Unity Gateway to automate developer onboarding and configuration, enabling a rapid increase from 200 to over 4,000 active developers in just five months.
What is Unity Gateway?
Unity Gateway is a centralized platform that provides developers with access to various AI models and coding tools, streamlining the integration process and reducing management overhead.
What challenges did Ubisoft face with AI coding adoption?
Ubisoft encountered difficulties in managing multiple provider integrations and ensuring efficient onboarding for thousands of developers as AI coding tools became more widely adopted.
How does Ubisoft manage AI spending?
Ubisoft tracks AI model consumption using Databricks AI/BI Dashboards and has implemented monitoring alerts to manage usage and spending effectively across teams.
What are the future plans for Ubisoft's AI platform?
Ubisoft aims to expand its AI platform capabilities, including team-level budgets and chargeback systems, to enhance visibility and control over AI spending while supporting broader AI adoption across the organization.