Building an AI solution poses significant challenges due to the high compute requirements, which result in substantial costs for training and running generative and large language models. Traditional computer processors are slow, and specialized hardware like GPU instances is needed, making cloud cost management solutions crucial. CAST AI's autoscaler and node templates automate provisioning and scaling of cost-effective GPU nodes, while optimizing and autoscaling CPU and GPU spot instances for inference can save up to 90% on instance costs. Pricing prediction algorithms forecast seasonality and trends, allowing for smart workload execution planning and considerable cost savings. Additionally, CAST AI supports AWS Inferentia and handles Nvidia driver configuration, enabling teams to plan cloud budgets efficiently and achieve higher spot instance fulfillment rates and improved savings. The platform also plans to introduce GPU time slicing, a technique that allows multiple applications to run simultaneously on one physical GPU, further reducing costs.