AI Model Evaluation Levels Up a Gaming Technology Roadmap

Discover how Mission Cloud, a CDW Company, helped an independent game developer evaluate managed foundation models to improve AI accuracy, control costs and guide its infrastructure strategy.

CDW Expert

Clarity for a Critical Infrastructure Decision

36%

of game industry professionals use generative AI tools as part of their jobs¹

40%

of enterprises report that cloud AI spending exceeded initial projections²

Can a growing AI game developer leverage test results for strategic clarity on its infrastructure needs?

A REAL-WORLD EXAMPLE

Evaluating AI Infrastructure for a Next-Generation Game Developer

The game developer initially built multiplayer experiences on a self-hosted inference system. As AI models advanced, the company questioned whether managed foundation models could replace its custom architecture without compromising accuracy, responsiveness or gameplay quality.

THE TURNING POINT

A Production-Based Model Evaluation for Greater Strategic Clarity

The developer partnered with Mission Cloud and AWS through their AI Assessment Funding Program to independently assess leading foundation models available through Amazon Bedrock. Mission Cloud used the company’s existing testing framework and 150 production-derived test cases representing challenging gameplay scenarios. The engagement also included:

Testing five foundation models across complex multistep gameplay actions
Comparing accuracy, latency and cost per interaction
Analyzing failure patterns against the existing performance baseline
Identifying opportunities for prompt caching, fine-tuning and additional optimization

Mission Cloud, a CDW Company

Mission Cloud is CDW’s dedicated AWS practice for end-to-end cloud and AI services, delivering a seamless end-to-end AWS experience backed by the most trusted names in cloud services.

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Mission Cloud and CDW for AWS

From initial strategy and migration through advanced AI implementations and ongoing managed services, Mission Cloud and CDW have you covered at every step of your cloud journey.

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THE RESULTS

Higher Model Accuracy With a More Informed AI Roadmap

Game developer reviews code across multiple monitors while working at a computer.

Through iterative prompt engineering, Mission Cloud doubled model accuracy in just three iterations — clarifying where managed inference, custom orchestration or a combination of the two would provide the strongest balance of performance, cost and operational efficiency.

Here’s Why It Worked

Production-derived tests created a relevant apples-to-apples comparison
Independent expertise helped challenge internal assumptions and uncover blind spots
Multiple prompt iterations demonstrated the models’ potential for continued improvement

What’s Next?

The assessment validated continued investment in the game developer’s proprietary orchestration system while identifying complementary use cases for Amazon Bedrock. The company can now align specific technologies with the workloads it supports best.