Infrastructure-as-a-Service (IaaS)

Our industry-leading AI infrastructure capabilities are available through Google Cloud, so businesses can innovate faster, deliver better customer experiences, and optimize for cost efficiency.

Use AI-optimized infrastructure built for the agentic era
AI Hypercomputer

Use AI-optimized infrastructure built for the agentic era

Take advantage of our groundbreaking supercomputer architecture that employs an integrated system of purpose-built hardware, open software, and flexible consumption models.

Agentic infrastructure at scale
Agentic infrastructure at scale

Inside AI Hypercomputer and TPU-8 infrastructure

Google named a leader in the 2026 Gartner® Magic Quadrant™ for AI Infrastructure

Run VMs on high-performance and reliable cloud infrastructure
Google Compute Engine (GCE)

Run VMs on high-performance and reliable cloud infrastructure

Choose from preset or custom machine types for web servers, databases, and applications that fuel your agents. Includes custom silicon VMs, such as Arm-based instances powered by Google's proprietary Axion processors.

Google Kubernetes Engine (GKE)

Get leading performance, efficiency, security, and scale for your most complex workloads

66% of organizations rely on Kubernetes to power the next generation of AI and agentic applications.

Declaratively define autoscaling profiles for nodes that Google GKE provisions with ComputeClasses.

Declaratively define autoscaling profiles for nodes that Google GKE provisions with ComputeClasses.

Manage millions of accelerators across Google Cloud regions with GKE hypercluster, a single, conformant control plane.

Manage millions of accelerators across Google Cloud regions with GKE hypercluster, a single, conformant control plane.

Optimized routing and load balancing for serving AI workloads, with GKE Inference Gateway.

Optimized routing and load balancing for serving AI workloads, with GKE Inference Gateway.

Improve workload startup latency by restoring snapshots of running Pods, with GKE Pod Snapshots.

Improve workload startup latency by restoring snapshots of running Pods, with GKE Pod Snapshots.
“Kubernetes has rapidly become the orchestration platform of choice for the AI era, with GKE now powering AI workloads for our top customers on the platform, including the largest frontier model builders.”
Mark_L_Headshot.2e16d0ba.fill-128x128
Mark Lohmeyer
VP/GM AI and Computing Infrastructure • Google AI and Infrastructure

Block storage

Get reliable, high-performance block storage for virtual machine instances

Decouple raw disk performance from individual virtual machines while obtaining extreme durability, low latency, and flexible scaling.

Hyperdisk

Next-generation block storage designed to decouple IOPS, throughput, and capacity provisioning to maximize efficiency for AI and database workloads.

Hyperdisk

Persistent Disk (PD)

Reliable, high-performance block storage for virtual machine instances with enterprise scale, limitless flexibility, and competitive price for performance.

Persistent Disk (PD)

Modernize infrastructure

Google Cloud VMware Engine (GCVE)

Google Cloud VMware Engine (GCVE)

Rapidly lift and transform your VMware-based applications to Google Cloud without changes to your apps, tools, or processes.

SAP Solutions

SAP Solutions

Securely and scalably automate and modernize business operations, combining SAP’s enterprise expertise with Google Cloud's data, analytics, and AI capabilities.

Migration Center

Migration Center

Accelerate your end-to-end cloud journey from your current on-premises or other cloud environments to Google Cloud.

Access our world-class infrastructure through Google Cloud