Introducing OpenAI to Nova Recommendations

Save up to 50% on AI models while maintaining the same quality

As organizations scale their use of large language models (LLMs), understanding and managing cost becomes critical. With the growing popularity of both OpenAI and Amazon Bedrock, teams often struggle to compare model pricing, performance, and usage patterns across platforms. That’s why we’re introducing model optimization recommendations based on your OpenAI usage—giving you clear, side-by-side insights into OpenAI and Nova costs so you can make informed decisions and optimize spend across your AI workloads.

What's New

You can now access AI Model Provider Recommendations in your Cost Optimization Recommendations dashboard. This new feature is designed specifically to help your business reduce generative AI spending while maintaining performance. 

How it Works

The AI Cost Optimization engine continuously analyzes your OpenAI cost and usage patterns, and based on our analysis, the system:

1. Analyzes OpenAI tokens and request usage patterns 
2. Generates detailed recommendations, taking into account your OpenAI token usage and number of requests
3. Estimates potential cost savings based on selecting comparable AWS Nova models to match your specific usage patterns

How to Get Started

To start using AI Model Provider Recommendations, navigate to the Cost Optimization Recommendations in nOps. This new recommendation type will automatically appear when our system detects significant AI service usage in your environment.

If you're already on nOPs...

Business Contexts+ customers can access this new feature directly from the nOps Dashboard. Have questions? Want more details? Check out the documentation here or reach out to your Customer Success Manager.

If you’re new to nOps…

nOps was recently ranked #1 with five stars in G2’s cloud cost management category, and we optimize $2+ billion in cloud spend for our customers.

Join our customers using nOps to understand your cloud costs and leverage automation with complete confidence by  with one of our AWS experts.

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