MIAMI—Cast AI, the leading Application Performance Automation platform, has unveiled OMNI Compute, a unified compute control plane designed to automatically discover available resources across multiple cloud providers and regions. The new platform enables organizations to transparently extend their existing Kubernetes clusters to leverage these distributed resources, optimizing performance and reducing costs. OMNI Compute allows enterprises to dynamically access underutilized compute capacity—such as idle GPU instances—across public clouds, creating a more efficient and scalable infrastructure. By automating resource discovery and workload placement, Cast AI helps companies achieve higher application performance while minimizing waste and operational complexity. In addition to the product launch, Cast AI announced a strategic investment from Pacific Alliance Ventures (PAV), the U.S.-based corporate venture arm of Shinsegae Group, a South Korean conglomerate with over $50 billion in annual revenue. The investment underscores growing confidence in Cast AI’s platform as enterprises seek smarter, more automated ways to manage their cloud and AI workloads. The company’s valuation has now surpassed $1 billion, marking a major milestone in its growth. With the rise of AI-driven applications and compute-intensive workloads, Cast AI’s ability to unify and optimize compute resources across hybrid and multi-cloud environments positions it as a key player in the next generation of infrastructure automation. Cast AI continues to expand its capabilities, focusing on delivering intelligent, real-time performance optimization for modern cloud-native applications. The company’s technology is especially valuable for organizations running machine learning models, data analytics pipelines, and other high-demand workloads that require consistent performance and cost efficiency.