Compute

2 million

Requests per month

A fully managed environment to run stateless containers.

• 2 million requests per month
• 360,000 GB-seconds memory, 180,000 vCPU-seconds of compute time
• 1 GB network egress from North America per month
• The free tier is available only for Cloud Run (fully managed).

Database

1 GB

Storage

NoSQL document database that simplifies storing, syncing, and querying data for apps.

• 1 GB storage
• 50,000 reads, 20,000 writes, 20,000 deletes per day

Compute

1

F1-micro instance per month

Scalable, high-performance virtual machines.

• 1 f1-micro instance per month (US regions only—excluding Northern Virginia [us-east4])
• 30 GB-months HDD
• 5 GB-months snapshot in select regions
• 1 GB network egress from North America to all region destinations per month (excluding China and Australia)

Storage

5 GB

Months regional storage

Best-in-class performance, reliability, and pricing for all your storage needs.

• 5 GB-months of Regional Storage per month (US regions only — excluding Northern Virginia [us-east4])
• 5,000 Class A Operations per month
• 50,000 Class B Operations per month
• 1 GB network egress from North America to all region destinations per month (excluding China and Australia)

Data analytics

10 GB

Messages per month

A global service for real-time and reliable messaging and streaming data.

• 10 GB of messages per month

Compute

2 million

Invocations per month

A serverless environment to build and connect cloud services with code.

• 2 million invocations per month (includes both background and HTTP invocations)
• 400,000 GB-seconds memory, 200,000 GHz-seconds of compute time
• 5 GB network egress per month

Compute

Clusters

One zonal cluster

Secured and managed Kubernetes service to run containerized applications.

• No cluster management fee for one zonal cluster per billing account
• Each user node is charged at standard Compute Engine pricing

Compute

28

Instance hours per day

Platform for building scalable web applications and mobile back ends.

• 28 hours per day of "F" instances
• 9 hours per day of "B" instances
• 1 GB of egress per day
• Only the Standard Environment offers this free usage limit

OPS management

Monthly

Allotments for logging and monitoring

Monitoring, logging, and diagnostics for applications on Google Cloud.

• Logging: All Platform Audit, plus the first 50 GiB per project
• Monitoring data: All platform metrics for all GCP services, plus the first 150 MiB per billing account for chargeable metrics.
• Monitoring API calls: First 1 million API calls per project
• Trace ingestion: First 2.5 million spans per project

Data analytics

1 TB

Queries per month

Fully managed, petabyte scale, analytics data warehouse.

• 1 TB of querying per month
• 10 GB of storage

AI and machine learning

1,000

Units per month

Label detection, OCR, facial detection and more.

• 1,000 units per month

AI and machine learning

60

Minutes per month

Speech-to-text transcription — the same that powers Google's own products.

• 60 minutes per month

AI and machine learning

5,000

Units per month

Derive insights from unstructured text using Google machine learning.

• 5,000 units per month

Management tools

1,000

API write requests per day

Manage cloud resources with simple templates.

• Unlimited read requests
• Unlimited delete requests
• 1,000 API write requests per day
• 20 API requests per second
• 1,000 active deployments per project
• 1 MB limit on user-provided configurations
• 1 MB limit on expanded configurations

Developer tools

120

Build-minutes per day

Fast, consistent, reliable builds on Google Cloud.

• 120 build-minutes per day

Developer tools

Free

Access for up to five users

Multiple private Git repositories hosted on Google Cloud.

• Private hosting of multiple Git repositories with free access for up to five users, 50 GB of storage, and 50 GB of egress

Marketplace

Free

Trials

Launch free trials of production grade solutions from partners.

• Free trials of various time frames of select virtual machines, Kubernetes applications, and SaaS to help you determine whether the solution is right for you

AI and Machine Learning

40

Node hours

Train custom ML models to classify images into a custom set of categories.

• 40 node hours of training and online prediction
• 1 node hour for batch classification prediction
• 15 node hours for edge training

AI and Machine Learning

40

Node hours

Train custom ML models to classify videos into a custom set of categories.

• 40 node hours for training
• 5 node hours for prediction

AI and Machine Learning

6

Node hours

Build and deploy ML models on structured data.

• 6 node hours each for training and for batch prediction

AI and Machine Learning

5000

Text records

Train custom ML models that classify content into a custom set of categories, extract entities from text, or perform sentiment analysis.

• The first 5,000 text records and 1,000 document pages

AI and Machine Learning

500,000

Translated characters per month

Create your own custom ML models so that translation queries return results specific to your domain.

• 500,000 translated characters per month