What are Cloud GPUs?
Cloud GPUs are NVIDIA accelerators attached to Compute Engine VMs. They accelerate machine learning, scientific computing, and GPU-intensive applications. From cost-effective T4 to high-end H100, GCP offers various options.
Core Features
- NVIDIA GPU portfolio: T4, L4, A100, H100 for different requirements
- Flexible configuration: 1 to 8 GPUs per VM, depending on machine type
- Deep Learning VMs: Pre-configured images with CUDA, cuDNN, and ML frameworks
- Spot/Preemptible VMs: Up to 91% cost savings for training jobs
- Multi-Instance GPU: Partition A100 into up to 7 isolated instances
Common Use Cases
Large-Scale ML Training
Train large models with A100 or H100 GPUs. Multi-GPU and multi-node training for faster iterations.
Real-Time AI Inference
Low-latency inference for computer vision, NLP, or recommendation models. T4 offers optimal price-performance for inference.
Batch Rendering and Simulation
Video rendering, 3D visualization, and scientific simulations on scalable GPU infrastructure.
Benefits
- Broad GPU portfolio for every use case
- No hardware investment needed
- Fast provisioning and scaling
- Integration with Vertex AI and other ML services
Integration with innFactory
As a Google Cloud Partner, innFactory supports you with Cloud GPUs: GPU selection, cost optimization, training pipeline architecture, and MLOps integration.
Available Tiers & Options
NVIDIA T4
- Cost-effective inference
- Good availability
- Limited training performance
NVIDIA A100
- High training performance
- Large memory (40/80 GB)
- Higher cost
NVIDIA H100
- Highest performance
- Transformer Engine
- Premium pricing
- Limited availability
Typical Use Cases
Technical Specifications
Frequently Asked Questions
Which GPU types does Google Cloud offer?
Google Cloud offers NVIDIA T4, L4, A100 (40/80 GB), H100, and TPUs. Availability varies by region.
How do GPUs differ from TPUs?
GPUs are universally usable for ML and other workloads. TPUs are optimized for TensorFlow/JAX and more efficient for large models.
Are GPUs available in EU regions?
Yes, GPUs are available in multiple EU regions, including europe-west1, europe-west4, and others.
How are GPUs billed?
GPUs are billed per hour. Preemptible and Spot VMs offer up to 91% discount for interruptible workloads.
Can I use GPUs with Vertex AI?
Yes, Vertex AI Training and Prediction automatically use GPUs. Custom Training Jobs can also specify GPU types.
