GPU Cloud Provider · Mountain View, California, USA
Google Cloud
Google Cloud provides a robust and secure global infrastructure designed to deliver high performance and reliability for various applications, including VM deployment, AI, ML, and HPC workloads. It benefits from a private global network, environmentally sustainable practices, and compliance with stringent security standards.
GPUs
3
Founded
First offered in 2008
Countries
34
Data Centers
40
Uptime SLA
99.9% (for Compute Engine GPU instances; GKE SLA 99.95%)
Team Size
10,000+
GPU Marketplace
Company Profile
Company TypeHyperscaler
Provider TypeHyperscaler
FoundedFirst offered in 2008
HeadquartersMountain View, California, USA
Legal EntityGoogle LLC
Parent CompanyAlphabet Inc.
FundingPublic (NASDAQ: GOOGL)
Total RaisedNot applicable (publicly traded subsidiary of Alphabet Inc.)
Team Size10,000+
Infrastructure
GPU FleetNVIDIA H100 80GB SXM5, NVIDIA H100 80GB PCIe, NVIDIA A100 80GB SXM4, NVIDIA A100 40GB, NVIDIA L4, NVIDIA T4, NVIDIA V100, Google TPU v4, Google TPU v5e, Google TPU v5p
Network FabricPrivate global backbone
ConnectivityUp to 3,600 Gbps for specific machine types
StorageLocal SSD, Persistent Disk
Data Center TierTier 3+ equivalent; Google-owned and operated data centers with custom hardware
Bare MetalYes, via Bare Metal Solution for specialized workloads
AvailabilityGA
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, up to 57% savings)
Bare MetalYes (Bare Metal Solution available, also sole-tenant nodes for GPU VMs)
VM-BasedYes (GPU-accelerated VMs via A2, A3, G2, N1 machine families)
Container-BasedYes (Docker via Cloud Run, GKE, and Vertex AI custom containers)
KubernetesYes (managed K8s via Google Kubernetes Engine with GPU node pool support)
Serverless GPUYes (Cloud Run with GPU support in preview; Vertex AI serverless prediction endpoints)
Spin-Up Time1-3 minutes for standard GPU VMs; A3 (H100) instances may take longer depending on availability
TerraformYes (official HashiCorp-registry provider: hashicorp/google)
GPU Hardware
Latest GenH100 SXM, H100 Mega, A100 SXM, L4, L40S
Legacy SupportA100 PCIe, V100, T4, P100, K80
Multi-GPU NodesYes (up to 8x per node)
Max GPUs/Node8
NVLinkYes (NVLink 3.0 on A100 SXM nodes, NVLink 4.0 on H100 SXM nodes)
InfiniBandNo (uses Google proprietary Jupiter network fabric with 1.6Tbps bandwidth)
PCIe vs SXMBoth PCIe and SXM
HGX PlatformYes (HGX A100 8-GPU, HGX H100 8-GPU)
Liquid CoolingYes (liquid-cooled SXM nodes in select regions)
Pricing Model
Per HourYes (primary billing unit)
Per MinutePer-second billing (minimum 1 minute)
SubscriptionYes (committed use contracts: 1-year and 3-year)
Reserved DiscountUp to 57% off with 3-year committed use contract; up to 37% off with 1-year committed use contract
Spot DiscountUp to 91% off on-demand with Spot VMs (formerly preemptible)
Public PricingYes
Hidden FeesIP address charges (~$0.004–$0.010/hr for static external IPs); GPU quota approval may require support plan upgrade; Sustained use discounts apply automatically but calculations are complex
Egress ChargesTiered pricing; first 1GB/month free, then $0.08–$0.23/GB depending on destination (internet egress); free within same region
Pay-as-you-goYes
Credit SystemYes (Google Cloud free trial credits $300 for new users; committed use contracts function as prepaid commitments)
Performance & Scaling
Multi-Node TrainingYes (up to 1000+ nodes with NCCL and JAX distributed training via GKE or Vertex AI)
Max Cluster Size4096 GPUs (A100/H100 via Google Kubernetes Engine HPC clusters)
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 Training)
InfiniBandYes (HDR 200Gbps InfiniBand on A3 H100 instances via Google's Jupiter fabric; also proprietary 1.6Tbps ICI on TPU pods)
NVSwitchYes (on A3 SXM5 H100 nodes with NVSwitch for intra-node GPU communication)
SLA99.9% (for Compute Engine GPU instances; GKE SLA 99.95%)
Perf IsolationPartial (dedicated bare metal available on A3 instances; standard GPU instances use VM-level isolation)
Noisy NeighborPartial (bare metal A3 instances offer strong isolation; standard VM instances use vCPU pinning and memory bandwidth controls)
Developer Experience
OnboardingDeploy in under 10 minutes via Cloud Console, gcloud CLI, or Terraform; enterprise onboarding with dedicated TAMs available
FrameworksTensorFlow, PyTorch
SDK LanguagesPython, Go, Java, Node.js, C++, Ruby, PHP, .NET, Rust
CLI ToolingFull gcloud CLI with comprehensive GPU instance management, SSH tunneling, file sync, and Terraform/Pulumi support
JupyterNative Vertex AI Workbench with managed JupyterLab environments
TemplatesLLM Fine-tuning, Stable Diffusion, PyTorch Training, TensorFlow Training, JAX Workloads, Distributed Training, Inference Serving
Model MarketplaceVertex AI Model Garden with 150+ foundation models including Gemini, Llama, Mistral, and HuggingFace integrations
DocumentationComprehensive docs with tutorials, codelabs, API reference, and architecture guides
API FeaturesCLI, SDK, REST API
Security & Compliance
SecurityRegular security assessments,Compliance certifications from third-party auditors
ComplianceStringent security standards adherence reviewed by third-party auditors
ISO 27001, SOC 1/2/3, PCI DSS, HIPAA, FedRAMP certifiedNVIDIA DGX-Ready Cloud partnerUsed by thousands of enterprises globallyAlphabet (GOOGL) market cap ~$2T+24/7 global SRE teamsGDPR and data residency compliance across regions
Data Center Locations
Coverage
CountriesUnited States, Belgium, Netherlands, Germany, United Kingdom, Finland, Switzerland, Poland, France, Spain, Italy, Japan, Singapore, Taiwan, South Korea, India, Australia, Brazil, Chile, Canada, Israel, Saudi Arabia, Qatar, United Arab Emirates, South Africa, Indonesia, Malaysia, Mexico, Argentina, Norway, Sweden, Denmark, Austria, Portugal
CitiesCouncil Bluffs IA, The Dalles OR, Mayes County OK, Loudoun County VA, Columbus OH, Midlothian TX, Clarksville TN, South Carolina, St. Ghislain Belgium, Eemshaven Netherlands, Hamina Finland, Dublin Ireland, London UK, Frankfurt Germany, Zurich Switzerland, Warsaw Poland, Madrid Spain, Milan Italy, Paris France, Tokyo Japan, Osaka Japan, Singapore, Changhua County Taiwan, Seoul South Korea, Mumbai India, Delhi India, Sydney Australia, Melbourne Australia, Jurong West Singapore, São Paulo Brazil, Santiago Chile, Montreal Canada, Toronto Canada, Tel Aviv Israel, Dammam Saudi Arabia, Doha Qatar, Dubai UAE, Johannesburg South Africa, Jakarta Indonesia, Kuala Lumpur Malaysia
Multi-Region FailoverYes (automatic and manual failover with multi-region buckets and cross-region load balancing)
Latency TiersUltra-low (<1ms intra-DC), Standard cloud latency inter-region, Premium Tier networking available
North AmericaEuropeAsia-PacificSouth AmericaMiddle EastAfrica
Compliance Regions
EU Data ResidencyYes (Frankfurt Germany, Eemshaven Netherlands, St. Ghislain Belgium, Hamina Finland, Dublin Ireland, London UK, Zurich Switzerland, Warsaw Poland, Madrid Spain, Milan Italy, Paris France)
US Gov CloudYes (FedRAMP authorized, Google Cloud for Government with dedicated regions)
India RegionYes (Mumbai, Delhi)
Datacenter Locations
Key Strengths
Proprietary TPU v5p/v5e for large-scale AI training at competitive cost
Deep Gemini/Vertex AI integration for end-to-end MLOps
Global fiber network with ultra-low latency between regions
Sustained use discounts applied automatically without commitment
Industry-leading PUE and carbon-free energy infrastructure
Known Limitations
GPU quota increases require manual approval and can be slow
Pricing complexity across SKUs and regions can be confusing
H100 availability in some regions remains constrained
TPUs require JAX/TensorFlow expertise and have limited PyTorch support historically
Support costs extra — basic support tier is limited
Additional Information
Support Options
["24/7 support via phone, email, and online resources"]
Community
Google Cloud Community forums, Stack Overflow presence, YouTube channel, Google Developer Groups (GDG), active GitHub organization, Google Cloud Next annual conference
Green Energy
Operates on 100% renewable energy (matched annually); carbon neutral since 2007; targeting 24/7 carbon-free energy by 2030
PUE Rating
1.10 (global average, among industry best)
Core Proposition
Google Cloud offers tightly integrated TPU and GPU infrastructure with best-in-class data analytics, AI/ML managed services (Vertex AI), and global fiber network, uniquely positioned for large-scale AI training and inference workloads.
Notable Customers
Anthropic
Salesforce
Twitter/X
Spotify
PayPal
HSBC
Snap
Deutsche Bank
Payment Methods
Credit CardBank TransferGoogle Cloud MarketplaceInvoice BillingPurchase Orders
Last updated March 2026. Information subject to change.