Do more with less: How GKE can reduce your cost per agent by 75%

Google Kubernetes Engine (GKE) can reduce cost per agent by 75% by incorporating orchestration upfront, allowing for more agents to be packed onto a fixed compute footprint without sacrificing reliability, scalability, or efficiency. This is achieved through the use of GKE's sophisticated orchestration capabilities, which can handle bursts of activity from AI agents. By optimizing agent density, teams can unlock improved unit economics, scalability, and reliability. To achieve this, teams can use GKE to run multiple agents on a single node, reducing the need for static compute allocations and idle agents consuming CPU and memory. This approach can help platform engineering teams design more efficient and scalable environments for modern cloud applications.