Datacrunch vs Lambda Labs
Compare GPU pricing, features, and specifications between Datacrunch and Lambda Labs cloud providers. Find the best deals for AI training, inference, and ML workloads.
Datacrunch
Provider 1
9
GPUs Available
Lambda Labs
Provider 2
9
GPUs Available
Comparison Overview
11
Total GPU Models
9
Datacrunch GPUs
9
Lambda Labs GPUs
7
Direct Comparisons
Average Price Difference: $10.85/hour between comparable GPUs
View:
Datacrunch
Lambda Labs
GPU Pricing Comparison
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Features Comparison
Datacrunch
Lambda Labs
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
Lambda Labs
Advantages
- Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
- Specialized for AI workloads
- One-click Jupyter access
- Pre-installed popular ML frameworks
Considerations
- Primarily focused on AI and ML workloads
- Limited global data center presence compared to major cloud providers
- Newer player in the cloud GPU market
Compute Services
Datacrunch
Lambda Labs
Pricing Options
Datacrunch
Lambda Labs
Getting Started
Datacrunch
Lambda Labs
Support & Global Availability
Datacrunch
Lambda Labs
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