Google Cloud vs Sesterce
Compare GPU pricing, features, and specifications between Google Cloud and Sesterce cloud providers. Find the best deals for AI training, inference, and ML workloads.
Google Cloud
Provider 1
Sesterce
Provider 2
Comparison Overview
Average Price Difference: $0.69/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Google Cloud Price | Sesterce Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Sesterce | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Sesterce | Not Available | — | ||
A16 64GB VRAM • | ||||
A30 24GB VRAM • Sesterce | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • Sesterce | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Sesterce | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
Gaudi 2 96GB VRAM • Sesterce | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
GH200 96GB VRAM • Sesterce | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Sesterce | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Sesterce | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Sesterce | Not Available | 8x GPU | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • Sesterce | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Sesterce | Not Available | 8x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Sesterce | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
A10 24GB VRAM • Sesterce | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Sesterce | Not Available | — | ||
A16 64GB VRAM • | ||||
A30 24GB VRAM • Sesterce | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • Sesterce | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Sesterce | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
Gaudi 2 96GB VRAM • Sesterce | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
GH200 96GB VRAM • Sesterce | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Sesterce | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Sesterce | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Sesterce | Not Available | 8x GPU | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • Sesterce | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Sesterce | Not Available | 8x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Sesterce | Not Available | — | ||
RTX 4000 Ada 20GB 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.
Sesterce
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
Sesterce
Advantages
- Multiple deployment types: VM, container, and bare-metal
- European-based with multi-region availability
- Developer-friendly REST API
- Dedicated AI inference hosting with unlimited-token pricing
Considerations
- Smaller provider with limited brand recognition
- Fewer GPU models compared to major hyperscalers
- Credit-based billing requires pre-funded balance
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
Sesterce
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.
Sesterce
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.
Sesterce
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.
Sesterce
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