Google Cloud vs Nebius
Compare GPU pricing, features, and specifications between Google Cloud and Nebius cloud providers. Find the best deals for AI training, inference, and ML workloads.
Google Cloud
Provider 1
Nebius
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | Nebius Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 192GB VRAM • Nebius | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 80GB VRAM • Nebius | Not Available | — | ||
H100 80GB VRAM • | ||||
H200 141GB VRAM • Nebius | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Nebius | Not Available | — | ||
L40S 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | 4x GPU | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
B200 192GB VRAM • Nebius | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 80GB VRAM • Nebius | Not Available | — | ||
H100 80GB VRAM • | ||||
H200 141GB VRAM • Nebius | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Nebius | Not Available | — | ||
L40S 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | 4x GPU | Not Available | — | |
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
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.
Nebius
- Transparent GPU pricing
Published on-demand rates for H100 and H200 plus L40S options
- Commitment discounts
Long-term commitments can cut on-demand rates by up to 35%
- HGX clusters
Multi-GPU HGX B200/H200/H100 nodes with per-GPU table pricing
- Self-service console
Launch and manage AI Cloud resources directly from the Nebius console
- Docs-first platform
Comprehensive documentation across compute, networking, and data services
Pros & Cons
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
Nebius
Advantages
- Transparent published hourly GPU pricing for H100/H200/L40S with commitment discounts available
- HGX B200/H200/H100 options for dense multi-GPU training
- Self-service console plus contact-sales for larger commitments
- Vertical integration aimed at predictable pricing and performance
Considerations
- Regional availability is not fully enumerated on public pages
- Blackwell pre-orders and large HGX capacity require sales engagement
- Pricing for ancillary services (storage/network) is less visible than GPU rates
Compute Services
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
Nebius
AI Cloud GPU Instances
On-demand GPU VMs with published hourly rates and commitment discounts.
HGX Clusters
Dense multi-GPU HGX nodes for large-scale training.
Pricing Options
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.
Nebius
On-demand GPU pricing
Published transparent hourly rates for H200, H100, and L40S GPUs with self-service console access.
HGX cluster pricing
Published per-GPU-hour pricing for HGX B200, HGX H200, and HGX H100 multi-GPU nodes.
Commitment discounts
Save up to 35% versus on-demand with long-term commitments and larger GPU quantities.
Blackwell pre-order
Pre-order NVIDIA Blackwell platforms through the sales contact form.
Getting Started
Google Cloud
- 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.
Nebius
- 1
Create an account
Sign up and log in to the Nebius AI Cloud console.
- 2
Add billing or credits
Attach a payment method to unlock on-demand GPU access.
- 3
Pick a GPU SKU
Choose H100, H200, L40S, or an HGX cluster size from the pricing catalog.
- 4
Launch and connect
Provision a VM or cluster and connect via SSH or your preferred tooling.
- 5
Optimize costs
Apply commitment discounts or talk to sales for large reservations.
Support & Global Availability
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.
Nebius
Global Regions
GPU clusters deployed across Europe and the US; headquarters in Amsterdam with engineering hubs in Finland, Serbia, and Israel (per About page).
Support
Documentation at docs.nebius.com, self-service AI Cloud console, and contact-sales for capacity or commitments.
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