Data centers: The new physics of scale
We’ve re-engineered the fundamental fabric of compute, turning data centers into innovative, high-performance systems capable of delivering the industry-leading efficiency required for the AI era.
Breaking the physical ceiling
Shifting from custom construction to factory-led mass production.
The modular advantage
Our infrastructure is composed of factory-manufactured, shippable compute modules that significantly reduce on-site deployment timelines.
Safe parallelization
We’ve decoupled the supply chain. While site work begins, we’re simultaneously building and testing complex AI clusters in a controlled factory environment to drastically accelerate time-to-market.
Ready-to-ship performance
Modules arrive ready to scale—100% QA-tested, integrated with our custom TPUs, and optimized for multi-rack clusters. We’re no longer building; we’re deploying, ensuring Day-1 reliability for our most complex models.
Real-time agility
Designing data centers with maximum fungibility enables unprecedented ‘speed-to-site’.
Build-to-order compute
Our factory modules are platform-agnostic. We can configure and deploy TPU, GPU, or storage-heavy clusters in days based on real-time demand, rather than years of speculative construction.
Location optionality
Because our modules are transportable, we have created late-point optionality. We can dispatch capacity to wherever the need is most acute—whether a massive desert training site or an "infill" on an existing campus.
Pioneering ‘campus-as-a-computer’
Creating a vertically integrated system that treats the entire data center campus—from power distribution to the silicon—as a single, optimized engine for intelligence and redefines architectural density and scale.
Unified mega-scale fabric
We don’t build isolated clusters. We integrate our Ghostfish (TPU) and Blackwell (GPU) platforms with Virgo100 networking to create a new data center fabric linking 134,000 chips (TPU 8t) with up to 47 petabits/sec of non-blocking bi-sectional bandwidth in a single fabric and driving 4x the bandwidth per accelerator.
Efficiency at scale
Our new hyper-dense designs house 2-4x more ML FLOPs in the same physical footprint. We utilize liquid-cooled infrastructure and advanced power distribution to achieve a 20% reduction in unit cost.
Thermal innovation
By utilizing proprietary liquid cooling capable of managing >100 kW/rack, we’ve bypassed the air-cooling limit, allowing us to pack chips closer together and reduce networking latency.
SimShip parity
We maintain zero-day parity for the latest infrastructure between Gemini models and Google Cloud customers simultaneously.
“We’re engineering our way out of constraints. Vertical integration allows us to extract maximum intelligence from every precious watt, achieving a level of efficiency and workload density that legacy, fragmented infrastructures simply cannot match.”
Reimagining global modern networking
Engineering one of the largest and most sophisticated private networks in the world for AI-era applications and workloads.
Unmatched speed, security, and predictability with 10 million kilometers of terrestrial and subsea fiber.
Network edge locations
Deliver sub-millisecond response times by processing intensive AI and general-purpose workloads close to end users.
Zones
Ensure high availability and reliability by distributing workloads across isolated and redundant data center clusters.
Countries available
Access to globally available AI infrastructure, products and models, such as Gemini.
Regions
Deliver high-performance applications with low latency, while ensuring that valuable data remains securely resident within country borders.
Designing and deploying the next-generation Google Global Network
To meet the scale, availability, and agility demands of cloud and AI workloads, Google developed a modular, vendor-agnostic, and physically sharded software-defined WAN. Unifying B2 and B4 to deliver enhanced network availability and faster failure recovery, it sets a foundation for a planet-scale modern WAN.
Decoupling intelligence from the grid
Making energy as modular and transportable as the chips themselves to remove power as a constraint.
Modular power velocity
By deploying modular, factory-produced power systems—including on-site solar and battery storage—we can stand up hundreds of megawatts or even gigawatts of capacity in months, not years.
Water-free cooling
By deploying waterless solutions, we’ve removed freshwater requirements from our site-selection equation.
The “lights out” future
Our re-engineered systems can operate for up to 90 days between human maintenance intervals, enabling deployment in remote, low-impact geographies.
Microgrid intelligence
Utilizing sophisticated microgrids to balance locally available, non-emitting renewable sources, we can alleviate load and fluctuations and build in remote areas previously considered unelectrified.
A full-stack approach to power and thermal fluctuations
Proactively shaping a workload’s power profile can be more efficient than simply adapting to it, helping regulate and mitigate detrimental fluctuations.
Facility-level Low-Voltage Direct Current (LVDC) distribution architecture
To support next generation rack power scaling, we’re maximizing efficiency and eliminating conversion losses for high-density environments.
Heat absorption at hyperscale: Liquid cooled chips
To deliver ~99.999% fleet-wide uptime at gigawatt scale, 5th-gen Coolant Distribution Units circulate liquid to rack manifolds and mechanically mounted cold-plate copper passages, ensuring zero mixing while maximizing rejection.
Heat rejection at hyperscale
To optimize the heat rejection path, we dynamically balance energy and water efficiency across diverse climate zones.
Improving resource utilization through cutting-edge research
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Maximize overall server density
We demonstrate that Memory Designer’s Kit, a framework for designing and evaluating data center memory management policies, can improve average memory savings by up to 10%.
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Cut data center DRAM overprovisioning
By dynamically clustering virtual memory objects based on their access patterns, we were able to improve page utilization 2-4x and reduce memory footprint by up to 70%.
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Reduce stranded compute and memory resources
We’re improving cloud data center efficiency by using continuous, distribution-based lifetime predictions rather than static, one-shot predictions to schedule virtual machines, boosting empty hosts up to 9.2%.
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Combat soaring DRAM infrastructure costs
To dynamically optimize access across multi-tier memory environments, we are able to transparently replace 25% of expensive DRAM with slower, cheaper media at scale while sustaining <5% performance degradation.
Enabling the industry via open standards
Open Data Center 0.8
Blueprints for data halls, electrical, and network rooms.
Promoting open standards
OCP, Caliptra, CXL, JEDEC, NVMe, UCIe, UALink, RISC-V, and more.
Anatomy of a modern data center
Take a tour of the infrastructure breakthroughs that power scientific leaps like Google’s drug development program AlphaFold, Gemini models and more.
Building for everyone
We build data centers that power essential technology and services, invest in community development, and lead the industry in data security and sustainability.