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Compare GPU and LLM inference API pricing between Google Cloud and IBM Cloud. Find the best rates for AI training, inference, and ML workloads.
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Explore how these providers compare to other popular GPU cloud services
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Advanced security features and compliance certifications for enterprise workloads
Seamless integration between on-premises and cloud environments
Built-in integration with IBM Watson AI services and tools
24/7 enterprise-grade support with dedicated technical assistance
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
GPU‑accelerated virtual servers on IBM Cloud VPC.
Pay for compute capacity per hour or per second, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Save up to 80% for fault-tolerant workloads that can be interrupted.
Pay for GPU compute by the hour with no long-term commitments
Commit to longer-term usage for reduced pricing on GPU instances
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Sign up for an IBM Cloud account using your email or corporate credentials
Add a payment method and configure billing for your account
Configure a Virtual Private Cloud and provision your first GPU instance
Set up security groups and network access for your GPU workloads
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Available in select global data centers with focus on North America and Europe
Enterprise-grade support with 24/7 availability, dedicated technical assistance, and comprehensive documentation