Countering GPU shortages with multi-cloud setups

As AI technologies continue to advance, the demand for GPUs remains high, prompting AI startups to adopt multi-cloud and hybrid cloud solutions to secure necessary compute resources. While GPU shortages have eased slightly, access and cost challenges persist, encouraging companies to leverage tools like Tailscale and Kubernetes to manage workloads across different cloud providers efficiently. These technologies help streamline networking and infrastructure management, allowing teams to focus on their core products rather than connectivity issues. The use of Infrastructure-as-Code tools like Terraform, combined with Tailscale's networking solutions, provides a flexible approach that abstracts the underlying infrastructure, facilitating uniform connectivity and optimizing cloud expenses. AI startups benefit from these solutions by avoiding the need to design complex network architectures for GPU access, ensuring smoother operations and scalability.