The future of cloud infrastructure runs on accelerator-based platforms built to train, serve, and govern AI workloads at scale. According to Gartner, the global research and advisory firm, worldwide spending on AI-optimized infrastructure as a service (IaaS) will reach $42.3 billion in 2026, a 96% jump over 2025. AI workloads increasingly influence compute, networking, storage, and operations across major cloud platforms, alongside the continuing needs of conventional enterprise applications.