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.
Google Cloud Platform (GCP)
Provider Profile
Founded
2008
Headquarters
Mountain View, California, USA
Pricing Model
Pay-as-you-go and subscription pricing for various machine types with GPU attachments.
Technical Specification
Target Audience
- Enterprise AI and ML deployments
- academic researchers
- graphic designers
- and cloud gamers.
GPU Clusters & Offerings
NVIDIA A100, NVIDIA H100, NVIDIA H200, NVIDIA B200, NVIDIA GB200, NVIDIA GB300, NVIDIA L4, NVIDIA RTX PRO 6000, NVIDIA P100, NVIDIA V100, NVIDIA P4, NVIDIA T4
Network Fabric
- Custom Google Cloud Fabric
- supporting high network bandwidths.
Connectivity Bandwidth
- Up to 3
- 600 Gbps based on the instance and network configuration.
Storage Architecture
Local SSD, NVMe SSD
Compute Framework Compatibility
TensorFlow, PyTorch, JAX
Resource Orchestration
- Kubernetes
- integrated with GKE (Google Kubernetes Engine)
Security Infrastructure
- SOC2
- ISO27001
- regular penetration testing and security assessments
Developer Interface & APIs
CLI, SDK, Google Cloud Console, REST API
Support Operations
- 24/7 support via phone, email, and online resources
- Dedicated enterprise support plans
Resource Availability
GA (General Availability)
Datacenter Locations
Regulatory Compliance
SOC2, ISO27001, GDPR compliant, and more, based on Google Cloud’s general compliance attestations.
Key Platform Features
Integration with Google Kubernetes Engine (GKE) and Slurm, AI Hypercomputer support, Exascale platform configurations, Direct access bare metal instances (No hypervisor overhead), NVLink-C2C communication.
Last Audit: February 2026