Modern Infrastructure Cloud
Google Cloud can help businesses and governments build quickly, securely, and cost-effectively with the next generation of cloud infrastructure.
Take a look under the hood
Innovate on an integrated, AI-optimized infrastructure
Build, run, and deploy AI workloads using infrastructure, including TPUs, GPUs, and CPUs, specifically designed for the performance and cost efficiency required for both small models and high-scale LLMs.
Leader
Google is a Leader in the 2023 Gartner® Magic Quadrant™ for Container Management
Build and run secure applications with managed containers
Kubernetes was born at Google and we make our deep expertise accessible to customers through GKE with industry-leading features, such as 15,000 nodes per cluster, for unmatched scalability.
Optimize enterprise workloads with high reliability and price performance
Google Cloud continually invests in innovative approaches to improve infrastructure performance. We continue to evolve our built-in architecture enhancements like Titanium, our workload-optimized hardware/software offload architecture. We help customers minimize costs through things like pay-per-use models, dynamic workload scheduling, committed use discounts, and energy-efficient infrastructure. And we help customers get the most of their deployment with AI assistants like Cloud Assist.
Easily deploy workloads on-premises and at the edge for sovereignty, scalability, and control
For organizations in highly regulated industries that need support to meet evolving sovereignty requirements, Google Cloud sovereign solutions and Google Distributed Cloud help them maintain control over their infrastructure and data while supporting compliance with strict data sovereignty, security, and privacy rules.
Nearly 90% of generative AI unicorns and more than 60% of funded gen AI startups are Google Cloud customers.
Source: Google Cloud internal data, July 2023
Resources
ebook: Rearchitecting your infrastructure for generative AI
This ebook provides a guide to help technical leaders architect robust, scalable, and cost-effective generative AI systems. What you’ll discover inside:
+ Actionable strategies to evaluate AI platforms
+ Best practices for optimizing resources with cost-efficient AI technologies
+ Examination of cost, scalability, security, and performance dimensions
+ Paths for development and deployment using cutting-edge technologies like Vertex AI and Google Kubernetes Engine (GKE)
More guides and reports
Learn best practices and see how Google Cloud compares to other cloud providers.
- Report: Google named a Leader in the Forrester Wave™: AI Infrastructure Solutions, Q1 2024Request report
- Report: Google is a Leader in the 2023 Gartner® Magic Quadrant™ for Container ManagementRequest report
- Guide: Accelerating software development with generative AI: An IT leader's guideGet the guide
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