What is the difference between Deep Infra and Google Cloud?

Deep Infra 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: Deep Infra 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 Deep Infra 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 3 different GPU models across both Deep Infra and Google Cloud, with 0 models available from both providers.

Deep Infra vs Google Cloud

Compare GPU pricing, features, and specifications between Deep Infra and Google Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.

Deep Infra

Provider 1

GPUs Available

Visit Website

Google Cloud

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Deep Infra GPUs

Google Cloud GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 3Both available: 0Deep Infra: 3Google Cloud: 0

Showing 3 of 3 GPUs

Last updated: 12/9/2025, 10:05:38 PM

GPU Model ↑	Deep Infra Price	Google Cloud Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • Deep Infra	$1.50/hr★ Best	Not Available	—	Deep Infra
A100 SXM 80GB VRAM • Deep Infra $1.50/hour Updated: 5/8/2025 ★Best Price Not Available Deep Infra
H100 80GB VRAM • Deep Infra	$2.40/hr★ Best	Not Available	—	Deep Infra
H100 80GB VRAM • Deep Infra $2.40/hour Updated: 5/8/2025 ★Best Price Not Available Deep Infra
H200 141GB VRAM • Deep Infra	$3.00/hr★ Best	Not Available	—	Deep Infra
H200 141GB VRAM • Deep Infra $3.00/hour Updated: 5/8/2025 ★Best Price Not Available Deep Infra

A100 SXM 80GB VRAM • Deep Infra	$1.50/hr★ Best	Not Available	—	Deep Infra
A100 SXM 80GB VRAM • Deep Infra $1.50/hour Updated: 5/8/2025 ★Best Price Not Available Deep Infra
H100 80GB VRAM • Deep Infra	$2.40/hr★ Best	Not Available	—	Deep Infra
H100 80GB VRAM • Deep Infra $2.40/hour Updated: 5/8/2025 ★Best Price Not Available Deep Infra
H200 141GB VRAM • Deep Infra	$3.00/hr★ Best	Not Available	—	Deep Infra
H200 141GB VRAM • Deep Infra $3.00/hour Updated: 5/8/2025 ★Best Price Not Available Deep Infra

Features Comparison

Deep Infra

Serverless Model APIs
OpenAI-compatible endpoints for 100+ models with autoscaling and pay-per-token billing
Dedicated GPU Rentals
B200 instances with SSH access spin up in about 10 seconds and bill hourly
Custom LLM Deployments
Deploy your own Hugging Face models onto dedicated A100, H100, H200, or B200 GPUs
Transparent GPU Pricing
Published per-GPU rates: A100 $0.89/hr, H100 $1.69/hr, H200 $1.99/hr, B200 $2.49/hr promo
Inference-Optimized Hardware
All hosted models run on H100 or A100 hardware tuned for low latency

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

Deep Infra

Advantages

Simple OpenAI-compatible API alongside controllable GPU rentals
Competitive hourly rates for flagship NVIDIA GPUs including B200 promo pricing
Fast provisioning with SSH access for dedicated instances
Supports custom deployments in addition to hosted public models

Considerations

Region list is not clearly published in the public marketing pages
Primarily focused on inference and GPU rentals rather than broader cloud services
B200 promo pricing is time-limited per site note

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

Deep Infra

Serverless Inference

Hosted model APIs with autoscaling on H100/A100 hardware.

OpenAI-compatible REST API surface
Runs 100+ public models with pay-per-token pricing

Dedicated GPU Instances

On-demand GPU nodes with SSH access for custom workloads.

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

Deep Infra

Serverless pay-per-token

OpenAI-compatible inference APIs with pay-per-request billing on H100/A100 hardware

Dedicated GPU hourly rates

Published pricing: A100 $0.89/hr, H100 $1.69/hr, H200 $1.99/hr, B200 $2.49/hr promo (then $4.49/hr)

B200 GPU rentals

SSH-accessible B200 nodes with flexible hourly billing and promo pricing noted on the site

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

Deep Infra

Get Started

1
Create an account
Sign up (GitHub-supported) and open the Deep Infra dashboard
2
Enable billing
Add a payment method to unlock GPU rentals and API usage
3
Pick a GPU option
Choose serverless APIs or dedicated A100, H100, H200, or B200 instances
4
Launch and connect
Start instances with SSH access or call the OpenAI-compatible API endpoints
5
Monitor usage
Track spend and instance status from the dashboard and shut down when idle

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

Deep Infra

Global Regions

Region list not published on the GPU Instances page; promo mentions Nebraska availability alongside multi-region autoscaling messaging.

Support

Documentation site, dashboard guidance, Discord community link, and contact-sales options.

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.