GPU Cloud Provider · Mountain View, California, USA
GCP (Google Cloud)
Google Cloud offers high-performance GPUs tailored for machine learning, scientific computing, and generative AI. With a broad range of GPU offerings, including the latest NVIDIA technologies, users can optimize their compute workloads with flexible performance settings and pricing. The integration with Google Cloud's advanced storage and analytics services enhances the utility of these GPUs for diverse computational tasks.
GPUs
1
Founded
2018
Countries
31
Data Centers
54
Uptime SLA
99.9%
Team Size
10,000+
GPU Marketplace
NVIDIA A100 80GB PCIeOn-Demand
Company Profile
Company TypeHyperscaler
Provider TypeHyperscaler
Founded2018
HeadquartersMountain View, California, USA
Legal EntityGoogle LLC
Parent CompanyAlphabet Inc.
FundingPublic (GOOGL / 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 FabricHigh-performance networking options with Google's advanced networking technology
ConnectivityVaries by instance, up to 3600 Gbps for high-end configurations
StorageLocal SSD, Attached SSD storage options
Data Center TierTier 3+ equivalent; Google-owned and operated facilities with N+2 redundancy and custom infrastructure
Bare MetalYes, via Bare Metal Solution for specific workloads; standard GPU VMs use KVM-based virtualization
AvailabilityGA (General Availability) for most offerings, with some recent additions like A4X VMs in Preview
EnterpriseStartupResearchGovernmentEducation
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 MetalNo (VM-based only; bare metal not generally available for GPU workloads)
VM-BasedYes
Container-BasedYes (Docker via GKE, Cloud Run, Artifact Registry)
KubernetesYes (managed K8s via Google Kubernetes Engine - GKE)
Serverless GPUYes (Cloud Run with GPU support, generally available as of 2024)
Spin-Up Time1-3 minutes (standard GPU VMs); GKE node provisioning 3-5 minutes
TerraformYes (official HashiCorp-registry provider: hashicorp/google)
GPU Hardware
Latest GenH100 SXM, H100 80GB, L4, L40S
Legacy SupportA100 40GB, A100 80GB, V100, T4, P100, P4, K80
Multi-GPU NodesYes (up to 8x per node)
Max GPUs/Node8
NVLinkYes (NVLink 4.0 on H100 SXM nodes)
InfiniBandNo (uses Google's proprietary Jupiter network fabric with 1.6 Tbps bisection bandwidth)
PCIe vs SXMBoth PCIe and SXM
HGX PlatformYes (HGX H100 8-GPU)
Pricing Model
Per HourYes (primary billing unit)
Per MinutePer-second billing (minimum 1 minute)
SubscriptionYes (1-year and 3-year committed use contracts)
Reserved DiscountUp to 57% off with 3-year committed use discount (CUD); ~37% for 1-year CUD
Spot DiscountUp to 60-91% off on-demand with Spot VMs (varies by GPU type and region)
Public PricingYes
Hidden FeesIP address charges (~$0.004-$0.006/hr for static external IPs); GPU driver and CUDA licensing not separately charged but OS licensing fees apply for Windows VMs; sole-tenant node fees if applicable
Egress ChargesTiered pricing: first 1TB/month free within same region; inter-region and internet egress from $0.01/GB to $0.19/GB depending on destination
Pay-as-you-goYes
Credit SystemYes (Google Cloud free trial credits $300; negotiated credits for enterprise agreements)
Performance & Scaling
Multi-Node TrainingYes (up to 1000+ nodes with NCCL and Google's A3 Mega clusters)
Max Cluster Size50,000+ GPUs (via A3 Mega with H100 SXM5 in GKE clusters)
Elastic ScalingYes (add/remove nodes dynamically via GKE node pools and MIG)
Auto ScalingYes (policy-based auto-scaling via GKE Cluster Autoscaler and Vertex AI)
InfiniBandNo (Ethernet only — uses Google's proprietary Jupiter fabric with RoCE, up to 3.2 Tbps bisectional bandwidth per A3 Mega node)
NVSwitchYes (on A3 Mega SXM5 H100 nodes with NVSwitch)
SLA99.9%
Perf IsolationPartial (dedicated VMs with GPU passthrough; bare metal available via sole-tenant nodes)
Noisy NeighborPartial (CPU pinning and sole-tenant node options available; default is multi-tenant VM isolation)
Developer Experience
OnboardingDeploy in under 5 minutes via Cloud Console, gcloud CLI, or Terraform; new users receive $300 in free credits
FrameworksTensorFlow, PyTorch, JAX
SDK LanguagesPython, Go, Java, Node.js, Ruby, PHP, .NET, C++
CLI ToolingFull-featured gcloud CLI with SSH tunneling, file transfer, and resource management; Cloud Shell browser-based terminal included
JupyterNative Vertex AI Workbench with managed JupyterLab environments; also available via Colab Enterprise
TemplatesLLM Fine-tuning via Vertex AI, Stable Diffusion, PyTorch Training, TensorFlow Training, JAX on TPUs, Model Serving with Vertex AI, MLOps Pipelines
Model MarketplaceVertex AI Model Garden with 100+ foundation models including Gemini, Llama, Mistral, and third-party models; Model Registry for custom models
DocumentationComprehensive docs with tutorials, API reference, codelabs, and architecture guides; one of the most detailed in the industry
API FeaturesCLI, REST API, SDK, Google Cloud Console
Security & Compliance
SecurityRegular penetration testing,Compliance with major security standards
ComplianceSOC2, ISO27001
ISO 27001 certifiedSOC 1, SOC 2, SOC 3 compliantFedRAMP authorizedHIPAA compliantPCI DSS certifiedGDPR compliantUsed by 9 of 10 top US media companiesGartner Magic Quadrant Leader for Cloud Infrastructure
Data Center Locations
Coverage
CountriesUnited States, United Kingdom, Germany, Netherlands, Belgium, France, Finland, Switzerland, Poland, Sweden, Spain, Italy, Singapore, Japan, South Korea, India, Taiwan, Australia, Canada, Brazil, Chile, Mexico, Saudi Arabia, Israel, Qatar, United Arab Emirates, South Africa, Indonesia, Malaysia, New Zealand, Hong Kong
CitiesCouncil Bluffs IA, Columbus OH, Moncks Corner SC, Lenoir NC, Mayes County OK, Dallas TX, Los Angeles CA, Salt Lake City UT, Las Vegas NV, Reno NV, Portland OR, Seattle WA, Phoenix AZ, Chicago IL, Atlanta GA, Ashburn VA, New York NY, Miami FL, Montreal, Toronto, São Paulo, Santiago, Mexico City, London, Dublin, Frankfurt, Amsterdam, Brussels, Paris, Hamina, Zurich, Warsaw, Madrid, Milan, Stockholm, Singapore, Tokyo, Osaka, Seoul, Mumbai, Delhi, Chennai, Taipei, Sydney, Melbourne, Jakarta, Kuala Lumpur, Auckland, Hong Kong, Tel Aviv, Dammam, Doha, Dubai, Johannesburg
Multi-Region FailoverYes (automatic and manual failover via multi-region buckets and global load balancing)
Latency TiersUltra-low (<1ms intra-DC via Premium Tier network), Standard cloud latency for cross-region
North AmericaEuropeAsia-PacificSouth AmericaMiddle EastAfrica
Compliance Regions
EU Data ResidencyYes (Frankfurt, Amsterdam, Brussels, Paris, Dublin, Hamina, Zurich, Warsaw, Madrid, Milan, Stockholm)
US Gov CloudYes (FedRAMP High authorized, Google Cloud for Government regions in US)
India RegionYes (Mumbai, Delhi, Chennai)
Datacenter Locations
Key Strengths
Proprietary TPU v5p/v5e for cost-effective large-scale AI training
Tight integration with Vertex AI MLOps platform and Gemini models
Google's global private fiber network for low-latency inter-region communication
Anthos for true hybrid/multi-cloud Kubernetes management
Leading sustainability credentials with industry-best PUE
Known Limitations
TPU ecosystem requires JAX/TensorFlow familiarity; less PyTorch-native than competitors
Pricing can be complex and higher than specialized GPU cloud providers for pure GPU compute
On-demand H100 availability can be constrained without reservations
Egress costs are significant for data-heavy workloads
Enterprise support tiers are expensive; basic support is limited
Additional Information
Support Options
["24/7 support","Online documentation","Community forums","Dedicated enterprise support"]
Community
Google Cloud Community forums, Google Developer Groups (GDGs) worldwide, active YouTube channel, Google Cloud Next annual conference, Stack Overflow presence, and Google Cloud Discord server
Green Energy
Carbon neutral since 2007; committed to running on 24/7 carbon-free energy by 2030; match 100% of electricity with renewable energy purchases
PUE Rating
1.10
Core Proposition
Deep integration with Google's AI/ML ecosystem (Vertex AI, TPUs, BigQuery) combined with global infrastructure and proprietary tensor processing hardware unavailable elsewhere.
Notable Customers
Spotify
Twitter
UPS
HSBC
Snap
PayPal
Airbus
Mayo Clinic
Payment Methods
Credit CardWire TransferGoogle Cloud MarketplaceInvoice/Purchase OrderBank Transfer
Last updated March 2026. Information subject to change.