Question: Is there a platform that supports multi-cloud management and deployment across different environments and cloud providers?

For managing and deploying infrastructure across multiple clouds and environments, Pulumi is a great option. It offers an open-source infrastructure as code (IaC) SDK that works with a range of programming languages and supports multiple cloud providers including AWS, Azure, Google Cloud and Kubernetes. Pulumi helps security, operations and development teams collaborate by letting them write infrastructure code in languages they're already familiar with, generate code with AI and manage configuration and secrets from a single source of truth. The company's platform also integrates with existing software delivery pipelines, making it a powerful option for improving productivity and scalability.

Another contender is Argonaut, an automation platform that automates infrastructure and application deployments to cloud accounts. It offers fast app deployment on GCP and AWS, collaborative infrastructure management with managed Terraform state, and multi-cloud support. Argonaut's pre-built modules, customizable deployment workflows, observability and integrations with GitHub, GitLab and container registries automate DevOps, helping teams get to market faster and cut costs.

For those with AI workloads, Anyscale is a platform for building, deploying and scaling AI models across multiple clouds and on-premise environments. It offers workload scheduling, smart instance management and heterogeneous node control for efficient resource use. Anyscale supports a variety of AI models and offers cost savings up to 50% on spot instances, making it a good option for companies trying to get the most out of their AI workloads.

Also worth a look is dstack, an open-source engine that automates infrastructure provisioning for AI workloads running on multiple cloud providers and data centers. It makes it easy to set up and run AI workloads, so researchers and data scientists can focus on data and research instead of infrastructure. It supports a variety of cloud providers, and dstack offers flexible deployment options including self-hosted and managed options.