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.
GCP (Google Cloud)
Provider Profile
Founded
2018
Headquarters
Mountain View, California, USA
Pricing Model
Flexible pricing based on per-second usage and machine customization options. Users start with $300 in free credits.
Technical Specification
Target Audience
- Enterprise ML
- Researchers
- Generative AI creators
- Scientific computing
GPU Clusters & Offerings
- NVIDIA RTX PRO 6000
- NVIDIA GB300
- NVIDIA GB200
- NVIDIA B200
- NVIDIA H200
- NVIDIA H100
- NVIDIA L4
- NVIDIA P100
- NVIDIA P4
- NVIDIA T4
- NVIDIA V100
- NVIDIA A100
Network Fabric
High-performance networking options with Google's advanced networking technology
Connectivity Bandwidth
- Varies by instance
- up to 3600 Gbps for high-end configurations
Storage Architecture
- Local SSD
- Attached SSD storage options
Compute Framework Compatibility
- TensorFlow
- PyTorch
- JAX
Resource Orchestration
- Google Kubernetes Engine (GKE)
- Vertex AI
Security Infrastructure
- Regular penetration testing
- Compliance with major security standards
Developer Interface & APIs
- CLI
- REST API
- SDK
- Google Cloud Console
Support Operations
- 24/7 support
- Online documentation
- Community forums
- Dedicated enterprise support
Resource Availability
- GA (General Availability) for most offerings
- with some recent additions like A4X VMs in Preview
Datacenter Locations
Regulatory Compliance
- SOC2
- ISO27001
Key Platform Features
- Up to 8 GPUs per instance
- Flexible customizations and per-second billing
- Access to advanced Google Cloud services
Last Audit: February 2026