If you need a tool to define and manage infrastructure spanning multiple clouds in your favorite programming language, Pulumi is a good option. Pulumi is an open-source infrastructure as code (IaC) SDK that lets developers build, deploy and manage infrastructure across multiple clouds, including AWS, Azure, Google Cloud and Kubernetes, in languages like TypeScript, Python, Go, C#, Java and YAML. It's got a code engine designed for collaborative infrastructure management, policy-as-code, automated testing and deployments that follow your company's standards, so it's a good fit for teams that want to get more out of their infrastructure.
Another option is Argonaut, an automation platform designed to help you manage and scale cloud resources. Argonaut supports Terraform, CI/CD and app deployments, which helps you get to market faster and reduces manual labor. It's got multi-cloud support, customizable deployment workflows, observability and metrics. The platform integrates with GitHub, GitLab, AWS, GCP and container registries, so it's a good tool for DevOps teams and app developers.
If you're more focused on AI applications, Anyscale is worth a look. It's a platform for building, deploying and scaling AI applications across multiple clouds and on-premise environments. Anyscale has workload scheduling, smart instance management and heterogeneous node control. It supports a variety of AI models and has native integrations with popular IDEs and Git, so it's a good fit for teams with AI workloads.