What is the difference between Beam and Google Cloud?

Beam and Google Cloud are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Beam or Google Cloud?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Beam and Google Cloud?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 2 different GPU models across both Beam and Google Cloud, with 0 models available from both providers.

Beam vs Google Cloud GPU Cloud Pricing 2026

GPU Pricing Comparison

Total GPUs: 2Both available: 0Beam: 0Google Cloud: 2

Showing 2 of 2 GPUs

Last updated: 4/18/2026, 3:20:26 PM

GPU Model ↑	Beam Price	Google Cloud Price	Price Diff ↕	Sources
Tesla T4 16GB VRAM • Google Cloud	Not Available	$0.16/hr★ Best	—	Google Cloud
Tesla T4 16GB VRAM • Not Available Google Cloud $0.16/hour Updated: 3/31/2026 ★Best Price Google Cloud
Tesla V100 32GB VRAM • Google Cloud	Not Available	$1.12/hr★ Best	—	Google Cloud
Tesla V100 32GB VRAM • Not Available Google Cloud $1.12/hour Updated: 3/31/2026 ★Best Price Google Cloud

Tesla T4 16GB VRAM • Google Cloud	Not Available	$0.16/hr★ Best	—	Google Cloud
Tesla T4 16GB VRAM • Not Available Google Cloud $0.16/hour Updated: 3/31/2026 ★Best Price Google Cloud
Tesla V100 32GB VRAM • Google Cloud	Not Available	$1.12/hr★ Best	—	Google Cloud
Tesla V100 32GB VRAM • Not Available Google Cloud $1.12/hour Updated: 3/31/2026 ★Best Price Google Cloud

Features Comparison

Beam

Pay-per-millisecond Billing
Only charged when your code runs, no charges for cold starts or server spin-up
Sub-second Cold Starts
Fast function initialization with checkpoint restore technology
Sandbox Snapshots
Snapshot and restore sandbox state for faster deployments
Autoscaling
Automatic scaling based on demand with deployment logs included
Custom Docker Images
Bring your own Docker images for full environment control
Open Source
Core engine (beta9) is open-source and can be self-hosted

Google Cloud

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.

Pros & Cons

Beam

Advantages

Pay-per-millisecond billing with no charges for cold starts
Sub-second cold starts with checkpoint restore
Up to 80% savings compared to always-on instances
Open-source core engine (beta9) available for self-hosting

Considerations

Smaller GPU selection compared to major cloud providers
Newer platform with smaller community
Focused primarily on serverless workloads

Google Cloud

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)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

Compute Services

Beam

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

Pricing Options

Beam

Google Cloud

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

Beam

Get Started

1
Create an account
Sign up on the Beam platform
2
Set up Python environment
Create a virtual environment and install the Beam SDK
3
Authenticate with API token
Configure your API token to connect to Beam

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

Support & Global Availability

Beam

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.