Reducing large language model costs
Our new AI Optimizer service automatically identifies the LLM that offers the best performance and lowest inference costs, and deploys it on CAST AI optimized Kubernetes clusters.
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Key features
Dramatically reduce
LLM costs
Integrates with any Open AI-compatible API endpoint
The solution analyzes the cost of specific users and API keys, overall usage patterns, and other factors.
Keep your existing tech stack
The service doesn’t require swapping your technology stack or even changing a line of application code.
Identifies the LLM with optimal performance and lowest inference costs
Not all LLMs are created equal. AI Optimizer identifies those with the best cost, performance, and accuracy ratio.
Deploys the LLM on CAST AI-optimized Kubernetes clusters
Unlock even more Generative AI savings using cost optimization features like autoscaling or bin packing.
Early adopter
Gain early access to new features
The ability to automatically identify the LLM that offers the most optimal performance and the lowest inference costs is publicly available today. Automated deployment of the LLM on CAST AI optimized Kubernetes clusters will be generally available in late Q2.
Sign up for our private beta to use automated deployment and be the first to know about new features added to the service.
Book a demo
Discover how our Kubernetes automation platform uses advanced machine learning algorithms to analyze and automatically optimize clusters in real time.