Google Cloud Compute Engine Pricing Overview

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Google Cloud Compute Engine Pricing Overview

Compute Engine Pricing

Google Cloud Compute Engine charges for usage based on a price sheet. A bill is sent out at the end of each billing cycle, providing a sum of Google Cloud charges. Prices on this page are listed in U.S. dollars (USD). Disk size, machine type memory, and network usage are calculated in JEDEC binary gigabytes (GB) or IEC gibibytes (GiB).

General-purpose Machine Type Family

The General-purpose machine type family, such as the C4 machine types in Iowa (us-central1), offers flexibility in terms of resource-based commitment pricing, flexible CUD consumption rates, and predefined vCPUs and memory sizes. Spot prices provide significant discounts compared to on-demand prices.

Compute-Optimized Machine Type Family

The Compute-optimized machine type family focuses on high CPU performance with machine types like C4 high-CPU machine types in Iowa (us-central1). These machine types offer varying virtual CPUs, memory sizes, and competitive pricing suitable for CPU-intensive workloads.

Memory-Optimized Machine Type Family

The Memory-optimized machine type family, exemplified by C4 high-memory machine types in Iowa (us-central1), provides ample memory capacity for memory-intensive applications. These machine types offer a range of memory sizes and hourly pricing to meet diverse memory requirements.

Storage-Optimized Machine Type Family

The Storage-optimized machine type family prioritizes local Titanium SSD storage capabilities for storage-intensive workloads, as seen in C4A standard machine types in Iowa (us-central1). These machine types offer predefined vCPUs, memory, and local SSD storage pricing options.

Accelerator-Optimized Machine Type Family

The Accelerator-optimized machine type family targets acceleration requirements with options like C4A machine types in Iowa (us-central1). These machine types feature predefined vCPUs, memory, and local Titanium SSD storage with different pricing structures.

Shared-Core Machine Types

For Shared-core machine types, pricing and resource details may vary based on the shared nature of CPU resources. These machine types typically offer a cost-effective solution for lightweight workloads that do not require dedicated CPU cores.

Tier_1 Higher Bandwidth Network Pricing

Tier_1 higher bandwidth network pricing caters to network performance needs with specific pricing for enhanced network bandwidth. This pricing option is suitable for applications demanding higher data transfer speeds and network throughput.

Simulated Maintenance Event Pricing

Simulated maintenance event pricing allows users to simulate maintenance scenarios and anticipate associated costs. This feature enables users to proactively assess the financial implications of potential maintenance events on their Compute Engine resources.

Suspended VM Instances

Suspended VM instances may impact pricing and resource allocation during periods of inactivity. Understanding the pricing implications of suspended instances can help optimize costs by efficiently managing VM lifecycle and usage patterns.

Sole-Tenant Node Pricing

Sole-tenant node pricing offers dedicated physical servers for specific workloads, ensuring isolation and control. This pricing model allows users to leverage the benefits of dedicated resources while managing costs associated with sole-tenant node deployment.

Premium Images

Premium images provide pre-configured templates with specialized software and configurations for Compute Engine instances. These images may have associated pricing based on the features and optimizations offered, enhancing the deployment and management of cloud resources.

Disk Pricing

Disk pricing details the costs associated with storage options for Compute Engine instances. Understanding disk pricing is crucial for optimizing storage requirements, performance, and budget allocation within a cloud infrastructure environment.

Machine Image Pricing

Machine image pricing encompasses the costs related to creating, managing, and deploying custom machine images on Compute Engine. Properly evaluating machine image pricing ensures efficient image utilization and cost-effective resource provisioning.

GPU Pricing

GPU pricing outlines the costs associated with leveraging Graphics Processing Units (GPUs) for Compute Engine tasks. Understanding GPU pricing is essential for budgeting GPU-accelerated workloads and optimizing performance for specialized computing requirements.

What's Next

Explore the diverse pricing options and detailed information available through Compute Engine to optimize resource allocation, budget planning, and overall cloud infrastructure efficiency. Whether it's tailoring machine types or managing network costs, Google Cloud offers a range of tools and resources to support your Compute Engine pricing decisions.

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