Fluidstack vs Lambda Labs
Compare GPU pricing, features, and specifications between Fluidstack and Lambda Labs cloud providers. Find the best deals for AI training, inference, and ML workloads.
Fluidstack
Provider 1
4
GPUs Available
Lambda Labs
Provider 2
9
GPUs Available
Comparison Overview
10
Total GPU Models
4
Fluidstack GPUs
9
Lambda Labs GPUs
3
Direct Comparisons
Average Price Difference: $3.14/hour between comparable GPUs
View:
Fluidstack
Lambda Labs
GPU Pricing Comparison
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Features Comparison
Fluidstack
Lambda Labs
Pros & Cons
Fluidstack
Advantages
- Highly cost-effective (30-80% lower costs compared to major cloud providers)
- Large-scale GPU availability (10,000+ NVIDIA H100 GPUs deployed)
- Rapid deployment and scaling capabilities
- Fully managed infrastructure with 24/7 support
Considerations
- Relatively newer and smaller compared to major cloud providers
- Primary focus on AI and ML workloads may not suit all use cases
- Limited global presence compared to hyperscalers
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
Fluidstack
Lambda Labs
Pricing Options
Fluidstack
Lambda Labs
Getting Started
Fluidstack
Lambda Labs
Support & Global Availability
Fluidstack
Lambda Labs
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