We believe this recognition reflects our longstanding dedication to helping customers build and scale their most demanding workloads reliably and securely on Google Cloud. As we enter the agentic era, we’re accelerating their journeys with a dynamic infrastructure, and connecting enterprise apps, data and agents on a single, flexible platform for predictable cost and performance.
What’s driving this momentum? There are three major advantages that we feel set Google Cloud apart:
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A co-designed, unified technology stack across custom silicon and hardware systems, open software and orchestration, frontier models and agentic applications.
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A dynamic infrastructure that helps you securely connect and scale your users, data, apps, and agents everywhere.
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Digital sovereignty with genuine choice, giving organizations total control over their data without sacrificing essential cloud functionality.
We are committed to helping our customers innovate and deliver at scale while giving them the flexibility, performance, and control they need. Let’s dive into three design principles that Google Cloud lives by as we continue to build and enhance our infrastructure:
1. Accelerate AI with a co-designed stack without lock-in
Google Cloud is the only provider to deliver a complete, first-party AI stack that is deeply co-designed from silicon to agentic applications. Our infrastructure team works with Google DeepMind researchers to co-design and optimize every layer of our technology stack. From custom silicon, like Google TPUs and Arm-based Google Axion processors, to Google Kubernetes Engine (GKE) and Gemini models, our system delivers exceptional performance and predictable costs.
Co-designing hardware and software creates massive operational efficiency, but it doesn’t mean creating a closed ecosystem. We remain deeply committed to open source and open standards across every layer of the stack including frameworks like llm-d for distributed inference, benchmarking for open models with GKE Prism, and eliminating hardware lock-in with TorchTPU for PyTorch compatibility across TPUs and GPUs. You get the full power of a vertically co-designed stack while maintaining complete freedom across models, frameworks, and silicon. Combining all of these deeply integrated components means building an AI Hypercomputer, capable of exceptional scale, performance, and efficiency. This is the same infrastructure foundation chosen by nine of the top ten AI labs globally.
2. Scale quickly and economically with a dynamic infrastructure
Today, demand for AI resources is skyrocketing. Internally at Google, our data centers now process 3.2 quadrillion tokens monthly, roughly 7x more than last year1. For enterprise leaders navigating this shift, scaling AI systems are notoriously difficult to architect, resource-intensive, and bursty, which can lead to scaling bottlenecks and large pools of underutilized compute.
Organizations need a dynamic infrastructure to automate capacity management, modernize business applications at their own pace, and securely connect data, apps, and agents to drive optimized global experiences.
To thrive at an agentic scale, you need infrastructure capable of operating as a single system. With Google Cloud, you can:
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Kick-start your AI transformation using Gemini-powered tools to intelligently map and modernize core apps, turning static legacy systems into dynamic foundations for AI and agents.
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Choose from a wide range of workload-optimized compute types and configurations. You can combine predefined and custom CPU shapes, NVIDIA GPUs, and Google custom silicon (TPUs and Axion CPUs), which are designed to deliver exceptional performance-per-dollar for AI and Enterprise workloads.
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Connect your enterprise and AI infrastructure on a single, flexible control plane with Google Kubernetes Engine. This includes capacity management capabilities like Dynamic Workload Scheduler to preschedule capacity for planned events and dynamic resource allocation to define advanced rules that dictate how resources are consumed, helping to maximize utilization and reduce costs.
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Simplify day two operations using Gemini Cloud Assist to proactively identify, troubleshoot, and resolve operational issues for your new agent-based workflows.
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And finally, run your workloads across hybrid and multicloud environments with Cross-Cloud Interconnect, leveraging Google’s 10+ million kilometer private fiber backbone to deliver up to 40% higher performance than public internet routing and automated delivery in minutes2.
By adopting a unified foundation of dynamic infrastructure, adaptive applications, and responsive systems, organizations can establish the resilient, high-performance infrastructure necessary to lead in this new technological frontier.
3. Embrace digital sovereignty with more choice and security
You shouldn’t have to compromise between modernization, frontier AI capabilities, and regulatory control. Sovereign Cloud from Google gives you access to Gemini and open-weight models across sovereign platforms with three flexible deployment options:
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Data sovereignty and control: Retain complete control over your data’s location and cryptographic authority with Google Cloud Data Boundary. Manage your encryption keys outside Google infrastructure using External Key Management (EKM) with Key Access Justifications (KAJ), while enforcing precise geographic processing and storage boundaries across both Google Cloud and Google Workspace.
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Local compliance and regional operations: Run your applications on physically and logically separated regional clouds operated exclusively by local partners, built on Google Cloud dedicated for European customers. In France, S3NS delivers PREMI3NS, providing a standalone sovereign cloud that has achieved the SecNumCloud 3.2 qualification from the French National Agency for the Security of Information Systems (ANSSI). Dedicated sovereign cloud operations operated by Thales are also coming soon to Germany.
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On-premises and air-gapped flexibility: Bring Google Cloud capabilities directly to your on-premises environment via Google Distributed Cloud (GDC). GDC offers two distinct deployment modes: air-gapped, a fully-managed, self-contained environment operating with zero connectivity to the public internet for public sector, defense, and regulated enterprise workloads; and connected, allowing you to run workloads on your hardware locally while leveraging Google Cloud’s centralized control plane for unified management.
Accelerate your Cloud journey
Whether you’re modernizing core enterprise systems, managing complex compliance requirements, or deploying autonomous AI agents, Google Cloud gives you the performance, scale, and freedom of choice to succeed.
Read the full 2026 Gartner Magic Quadrant for Strategic Cloud Platform Services or explore our AI Hypercomputer page to learn more.
1. Pichai, Sundar. “I/O 2026: Welcome to the Agentic Gemini Era.” The Keyword, Google, 19 May 2026
2. During testing, network latency was more than 40% lower when traffic to a target traveled over the Cross-Cloud Network compared to when traffic to the same target traveled across the public internet.
Source Credit: https://cloud.google.com/blog/products/compute/google-named-a-leader-in-2026-gartner-magic-quadrant-for-scps/
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