ScaleOps vs Digital Realty
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $130M Series C at $800M valuation in March 2026; customers including Adobe, Salesforce, DocuSign, and Wiz report up to 80% Kubernetes cloud cost reductions via autonomous real-time resource optimization.
About
ScaleOps is an autonomous cloud resource optimization platform that uses AI to continuously right-size and orchestrate Kubernetes workloads and AI infrastructure without requiring manual configuration. Founded to address the chronic problem of cloud waste and performance degradation in dynamic containerized environments, ScaleOps deploys AI agents that observe workload behavior in real time, predict resource needs, and automatically adjust CPU, memory, and GPU allocations to maximize efficiency and reliability simultaneously. The company's core insight is that static resource configurations are inherently suboptimal in environments where workload patterns change constantly.\n\nScaleOps integrates with Kubernetes-native infrastructure and extends to AI/ML workloads running on GPU clusters, making it particularly valuable as enterprises scale their AI training and inference pipelines alongside traditional application workloads. The platform operates autonomously—reducing the toil on platform engineering teams who would otherwise spend significant time manually tuning resource requests and limits. Key differentiators include zero-disruption optimization, support for heterogeneous workloads, and AI-driven anomaly detection that prevents resource contention before it impacts performance.\n\nIn March 2026, ScaleOps raised a $130M Series C at an $800M valuation, with customers including Adobe, Wiz, DocuSign, and Salesforce—a marquee roster that validates the platform's enterprise readiness. These customers represent organizations running complex, high-volume Kubernetes environments where even small efficiency gains translate to millions in cloud savings. ScaleOps sits at the intersection of FinOps and AI infrastructure optimization, a category that grows more strategically important as cloud AI spending accelerates.
Global data center REIT with 300+ facilities in 25+ countries; AI infrastructure surge driving record hyperscaler demand; power availability is key competitive moat; $5.5B FY2024 revenue.
About
Digital Realty Trust is one of the world's largest data center real estate investment trusts (REITs), founded in 2004 and headquartered in San Francisco, California, trading on NYSE (DLR). The company owns, operates, and develops data centers across 50+ metropolitan markets in 25+ countries, managing over 300 facilities and more than 35 million rentable square feet of critical digital infrastructure. For FY2024, Digital Realty generated approximately $5.5 billion in revenues under CEO Andy Power, who succeeded Bill Stein in 2023, with the company experiencing its strongest demand environment in history driven by hyperscaler and AI infrastructure buildouts from Microsoft, Meta, Google, Amazon, and major cloud and enterprise customers requiring massive compute capacity for AI training and inference workloads.
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