Google Cloud
GCP provides powerful GPU instances with flexible pricing and integration with Google's AI and machine learning tools. It's a major cloud provider known for its innovation in Kubernetes, AI/ML, and data analytics.
Key Features
- Compute Engine
- Scalable virtual machines with a wide range of machine types, including GPUs.
- Google Kubernetes Engine (GKE)
- Managed Kubernetes service for deploying and managing containerized applications.
- Cloud Functions
- Event-driven serverless compute platform.
- Cloud Run
- Fully managed serverless platform for containerized applications.
- Vertex AI
- Unified ML platform for building, deploying, and managing ML models.
- Preemptible VMs
- Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
- Cloud Storage
- Scalable and durable object storage.
- Persistent Disk
- Block storage for Compute Engine instances.
- Cloud Load Balancing
- High-performance, scalable load balancing.
- Virtual Private Cloud (VPC)
- Software-defined networking for your cloud resources.
Provider Comparison
Advantages
- Flexible pricing options, including sustained use discounts
- Strong AI and machine learning tools (Vertex AI)
- Good integration with other Google services
- Cutting-edge Kubernetes implementation (GKE)
- Competitive pricing, especially for sustained use
- Strong global network infrastructure
- Innovative AI/ML and data analytics services
Limitations
- Limited availability in some regions compared to AWS
- Complexity in managing resources
- Support can be costly
- Steeper learning curve for some services
Available GPUs
GPU Model↑ | Memory | Hourly Price |
|---|---|---|
L4 | 24GB | $0.56/hr |
Tesla T4 | 16GB | $0.55/hr |
Tesla V100 | 32GB | $2.48/hr |
Compute Services
Compute Engine
Offers customizable virtual machines running in Google's data centers.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for running containerized applications.
Features
- Automated Kubernetes operations
- Integration with Google Cloud services
- Advanced cluster management features
Cloud Functions
Serverless compute platform for running code in response to events.
Features
- Automatic scaling and high availability
- Pay only for the compute time consumed
- Supports multiple programming languages
Cloud Run
Fully managed serverless platform for deploying and scaling containerized applications.
Features
- Runs stateless containers on a fully managed environment
- Automatic scaling and high availability
- Pay only for the resources used
Pricing Options
| Option | Details |
|---|---|
| On-Demand | Pay for compute capacity per hour or per second, with no long-term commitments. |
| Sustained Use Discounts | Automatic discounts for running instances for a significant portion of the month. |
| Committed Use Discounts | Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage. |
| Preemptible VMs | Save up to 80% for fault-tolerant workloads that can be interrupted. |
Getting Started
Create a Google Cloud project
Set up a project in the Google Cloud Console.
Enable billing
Set up a billing account to pay for resource usage.
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Compare Providers
Find the best prices for the same GPUs from other providers
