GPU Cloud Provider · Mountain View, California, USA
Google Cloud Platform (GCP)
Google Cloud Platform (GCP) offers a variety of GPU-equipped machine types designed for high performance computing (HPC), machine learning (ML), graphics-intensive applications, and AI workloads. These machines use NVIDIA GPUs, are optimized for different usage scales from single-host instances to large clusters, and are capable of supporting NVIDIA RTX Virtual Workstations.
GPUs
1
Founded
2008
Countries
23
Data Centers
38
Uptime SLA
99.9%
Team Size
10,000+
GPU Marketplace
NVIDIA A100 80GB PCIeOn-Demand
Company Profile
Company TypeHyperscaler
Provider TypeHyperscaler
Founded2008
HeadquartersMountain View, California, USA
Legal EntityGoogle LLC
Parent CompanyAlphabet Inc.
FundingPublic (GOOGL / Alphabet Inc.)
Total RaisedNot applicable (subsidiary of Alphabet Inc.)
Team Size10,000+
Infrastructure
GPU FleetNVIDIA H100 80GB SXM5, NVIDIA H100 80GB PCIe, NVIDIA A100 80GB SXM4, NVIDIA A100 40GB SXM4, NVIDIA L4, NVIDIA L40S, NVIDIA T4, NVIDIA V100, Google TPU v4, Google TPU v5e, Google TPU v5p
Network FabricCustom Google Cloud Fabric, supporting high network bandwidths.
ConnectivityUp to 3,600 Gbps based on the instance and network configuration.
StorageLocal SSD, NVMe SSD
Data Center TierTier 4 equivalent (Google-owned and operated, proprietary design standards)
Bare MetalYes, via Bare Metal Solution for specialized workloads
AvailabilityGA (General Availability)
EnterpriseStartupResearchGovernmentMedia & Entertainment
Compute & Deployment
On-DemandYes
Spot / InterruptibleYes (Spot VMs, up to 60-91% savings over on-demand)
Reserved InstancesYes (1-year and 3-year committed use discounts, also sustained use discounts apply automatically)
Bare MetalYes (Bare Metal Solution available for certain workloads; GPU bare metal available in select configurations)
VM-BasedYes (A2, A3, G2 VM families with NVIDIA A100, H100, L4 GPUs)
Container-BasedYes (Docker via Google Kubernetes Engine and Cloud Run)
KubernetesYes (managed K8s via Google Kubernetes Engine — GKE)
Serverless GPUYes (Cloud Run supports GPU-accelerated containers in preview/GA; Vertex AI serverless prediction with GPU backing)
Spin-Up Time1-5 minutes for standard GPU VMs; H100 A3 instances may take longer due to availability constraints
TerraformYes (official HashiCorp-registry provider: hashicorp/google)
GPU Hardware
Latest GenH100 SXM, H100 Mega (192GB), A100 SXM
Legacy SupportV100, T4, P100, P4, K80
Multi-GPU NodesYes (up to 8x per node)
Max GPUs/Node8
NVLinkYes (NVLink 3.0 on SXM nodes)
InfiniBandNo (uses Google's proprietary Jupiter network fabric with 1600Gbps per node on A3 instances)
PCIe vs SXMBoth PCIe and SXM
HGX PlatformYes (HGX H100 8-GPU on A3 instances)
Liquid CoolingYes (direct liquid cooling on A3 Mega nodes)
Pricing Model
Per HourYes (primary billing unit)
Per MinutePer-second billing (minimum 1-minute charge)
SubscriptionYes (committed use contracts: 1-year and 3-year)
Reserved DiscountUp to 57% off with 3-year committed use contract; ~37% off with 1-year
Spot DiscountUp to 91% off on-demand with Spot VMs (formerly preemptible)
Public PricingYes
Hidden FeesGPU driver/CUDA licensing included; persistent disk billed separately; static IP charges (~$0.01/hr when in use); premium networking surcharges apply
Egress ChargesTiered pricing: free within same region; $0.01–$0.08/GB within GCP regions; $0.08–$0.23/GB to internet depending on destination
Pay-as-you-goYes
Credit SystemYes (Google Cloud credits for new customers; sustained use discounts applied automatically)
Performance & Scaling
Multi-Node TrainingYes (up to 1000+ nodes with NCCL and MPI via GKE or Vertex AI)
Max Cluster Size4096+ GPUs (A3 Mega clusters with H100s via GKE)
Elastic ScalingYes (add/remove nodes dynamically via GKE node pools and Vertex AI managed clusters)
Auto ScalingYes (policy-based auto-scaling via GKE Cluster Autoscaler and Vertex AI pipelines)
InfiniBandNo (Ethernet only — GCP uses proprietary Jupiter fabric; A3 Mega uses 3200 Gbps RoCE-based GPU-to-GPU networking)
NVSwitchYes (on A3 Mega SXM5 H100 nodes)
SLA99.9%
Perf IsolationPartial (dedicated VMs with hardware partitioning; bare-metal available via sole-tenant nodes)
Noisy NeighborPartial (sole-tenant nodes provide physical isolation; standard GPU VMs are multi-tenant with hypervisor-level separation)
Developer Experience
OnboardingDeploy in under 10 minutes via Google Cloud Console, gcloud CLI, or Terraform; enterprise onboarding with dedicated SA available
FrameworksTensorFlow, PyTorch, JAX
SDK LanguagesPython, Go, Java, Node.js, Ruby, PHP, C#, .NET, C++, REST
CLI ToolingFull-featured gcloud CLI with deployment, SSH, file transfer, resource management, and scripting support; Cloud Shell browser-based terminal included
JupyterNative via Vertex AI Workbench (managed JupyterLab environments)
TemplatesLLM Fine-tuning via Vertex AI, Stable Diffusion, PyTorch Training, TensorFlow Training, Hugging Face on Vertex AI, Deep Learning VMs, NVIDIA GPU-optimized images
Model MarketplaceVertex AI Model Garden with 150+ foundation models including Gemini, Llama, Claude, and open-source models; Model Registry for custom models
DocumentationComprehensive docs with tutorials, API reference, codelabs, and architecture guides across all services
API FeaturesCLI, SDK, Google Cloud Console, REST API
Security & Compliance
SecuritySOC2, ISO27001, regular penetration testing and security assessments
ComplianceSOC2, ISO27001, GDPR compliant, and more, based on Google Cloud’s general compliance attestations.
ISO 27001, ISO 27017, ISO 27018, SOC 1/2/3 certifiedFedRAMP High authorizedHIPAA, PCI DSS, GDPR compliantPublicly traded via Alphabet Inc. (NASDAQ: GOOGL)Used by thousands of enterprises globallyNVIDIA DGX Cloud partnerMember of the Open Compute Project
Data Center Locations
Coverage
CountriesUnited States, Germany, Netherlands, United Kingdom, Belgium, Finland, Switzerland, Poland, France, Japan, Taiwan, South Korea, Singapore, India, Australia, Canada, Brazil, Chile, Indonesia, Israel, Qatar, Saudi Arabia, South Africa
CitiesCouncil Bluffs IA, Columbus OH, Moncks Corner SC, Loudoun County VA, Dallas TX, Salt Lake City UT, Los Angeles CA, Las Vegas NV, Chicago IL, New York NY, Frankfurt, Berlin, Amsterdam, London, St. Ghislain, Hamina, Zurich, Warsaw, Paris, Tokyo, Osaka, Changhua County, Seoul, Singapore, Mumbai, Pune, Delhi, Sydney, Melbourne, Montreal, Toronto, São Paulo, Santiago, Jakarta, Tel Aviv, Doha, Dammam, Johannesburg
Multi-Region FailoverYes (automatic failover with multi-region configurations and cross-region load balancing)
Latency TiersUltra-low (<1ms intra-DC within same zone), Standard cloud latency between regions, Premium Tier network for optimized inter-region routing
North AmericaEuropeAsia-PacificSouth AmericaMiddle EastAfrica
Compliance Regions
EU Data ResidencyYes (Frankfurt, Berlin, Amsterdam, London, St. Ghislain Belgium, Hamina Finland, Zurich, Warsaw, Paris) with EU Sovereign Cloud and GDPR compliance controls
US Gov CloudYes (FedRAMP authorized, Google Cloud for Government with IL2/IL4/IL5 support)
India RegionYes (Mumbai, Pune, Delhi)
Datacenter Locations
Key Strengths
Best-in-class TPU availability (proprietary AI accelerators not available elsewhere)
Vertex AI as a fully managed MLOps platform tightly integrated with GPU/TPU compute
Industry-leading PUE and sustainability credentials
Deep integration with Google's AI research (DeepMind, Google Brain) and models (Gemini)
Global fiber network (private backbone) for low-latency inter-region connectivity
Known Limitations
Complex and opaque pricing can be difficult to predict without careful planning
GPU availability in specific regions can be constrained despite global footprint
Steep learning curve for organizations not already in the Google ecosystem
Support tiers can be expensive; basic support is limited
TPUs have a steeper learning curve and require JAX/TensorFlow familiarity
Additional Information
Support Options
["24/7 support via phone, email, and online resources","Dedicated enterprise support plans"]
Community
Active Google Cloud Community forums, Stack Overflow presence, Google Developer Groups (GDG) worldwide, GitHub repositories, Google Cloud blog, YouTube channel with tutorials, Discord and Slack communities via partner programs
Green Energy
100% renewable energy match since 2017; commitment to 24/7 carbon-free energy by 2030; carbon-neutral operations
PUE Rating
1.10 (global average, among the lowest in the industry)
Core Proposition
Google Cloud offers tightly integrated TPU and GPU infrastructure with best-in-class AI/ML tooling via Vertex AI, backed by Google's global private fiber network and deep ML research heritage.
Notable Customers
Spotify
Twitter
HSBC
PayPal
Goldman Sachs
Snap
Etsy
UPS
Payment Methods
Credit CardDebit CardBank TransferInvoice/Purchase OrderGoogle Cloud Marketplace
Last updated March 2026. Information subject to change.