Datacrunch vs Google Cloud
Compare GPU pricing, features, and specifications between Datacrunch and Google Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.
Datacrunch
Provider 1
Google Cloud
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Datacrunch Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Datacrunch | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Datacrunch | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Datacrunch | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
Datacrunch
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
Datacrunch
Advantages
- Wide range of GPU models, including latest NVIDIA H200
- Cost-effective compared to major cloud providers
- Streamlined and user-friendly interface
- Excellent documentation and API
Considerations
- Limited global presence (primarily Europe-focused)
- Smaller company compared to major cloud providers
- Specialized focus may not suit all computing needs
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
Datacrunch
Premium GPU Instances
Dedicated GPU VMs with transparent pricing.
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
Datacrunch
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
Datacrunch
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.
Support & Global Availability
Datacrunch
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.
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