Google Cloud GPU
Accelerate your workloads with GPUs on Google Cloud.
Overview
Google Cloud offers a comprehensive suite of cloud computing services, including a wide variety of NVIDIA GPUs that can be attached to virtual machine instances. These GPUs are designed to accelerate a broad range of workloads, from machine learning and scientific computing to graphics rendering and virtual workstations. Google Cloud's GPU offerings are tightly integrated with their broader AI and data analytics ecosystem.
✨ Key Features
- Wide range of NVIDIA GPU models (H100, A100, L4, T4, etc.)
- Integration with Google Cloud services (Vertex AI, GKE, BigQuery)
- Global network and high-performance infrastructure
- Flexible pricing options (on-demand, preemptible, committed use)
- Support for both training and inference workloads
🎯 Key Differentiators
- Deep integration with Google's AI and data analytics ecosystem
- High-performance global network
- Strong offerings in both GPUs and TPUs
Unique Value: Google Cloud provides a powerful and scalable platform for running GPU-accelerated workloads, with deep integrations into a comprehensive ecosystem of AI, data, and analytics services.
🎯 Use Cases (5)
✅ Best For
- Training large-scale AI models on Vertex AI
- Running complex scientific simulations on Compute Engine
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users seeking the absolute lowest cost for GPU compute
- Those who prefer a simpler, more focused platform
🏆 Alternatives
Offers a more integrated and AI-native experience compared to other hyperscalers, with the unique option of using TPUs for certain workloads.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Varies tier)
🔒 Compliance & Security
💰 Pricing
✓ 90-day free trial
Free tier: Varies by service, includes a free credit for new users
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