What is the difference between Gcore and Google Cloud?

Gcore 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: Gcore 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 Gcore 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 Gcore and Google Cloud, with 0 models available from both providers.

Gcore vs Google Cloud GPU Cloud Pricing 2026

GPU Pricing Comparison

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

Showing 2 of 2 GPUs

Last updated: 5/12/2026, 6:53:03 PM

GPU Model ↑	Gcore 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: 5/11/2026 ★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: 5/11/2026 ★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: 5/11/2026 ★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: 5/11/2026 ★Best Price Google Cloud

Features Comparison

Gcore

Global Edge Footprint
GPU and inference workloads deployable across Gcore's worldwide edge points of presence
GB200 Capacity
Blackwell-generation GB200 systems available alongside H100 and H200
Inference at the Edge
Managed inference platform that serves models from regions closest to users
Bare-Metal and Cloud GPUs
Both managed cloud GPU instances and dedicated bare-metal nodes

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

Gcore

Advantages

Wide global edge presence beyond typical neocloud regions
Access to Blackwell-generation GB200 systems
Combined CDN, networking and GPU stack from a single provider

Considerations

Catalog spans many products beyond GPU compute, which can complicate pricing
GPU SKU availability varies meaningfully by region
Less GPU-specialized than dedicated training neoclouds

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

Gcore

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

Gcore

On-Demand Cloud GPUs

Hourly billing for self-serve GPU virtual machines

Bare-Metal Clusters

Dedicated bare-metal GPU servers, typically reservation-led

Inference Platform

Per-request or per-second billing for hosted model endpoints at the edge

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

Gcore

Get Started

1
Create an account
Sign up at the Gcore customer portal
2
Select GPU product
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
3
Provision and connect
Launch via the portal or API and connect over SSH or supported orchestrators

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

Gcore

Global Regions

Global edge presence across Europe, North America, Asia, Latin America and the Middle East

Support

Documentation, support tickets and enterprise contracts

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.