CoreWeave vs Fluidstack
Compare GPU pricing, features, and specifications between CoreWeave and Fluidstack cloud providers. Find the best deals for AI training, inference, and ML workloads.
CoreWeave
Provider 1
7
GPUs Available
Fluidstack
Provider 2
4
GPUs Available
Comparison Overview
8
Total GPU Models
7
CoreWeave GPUs
4
Fluidstack GPUs
3
Direct Comparisons
Average Price Difference: $1.71/hour between comparable GPUs
View:
CoreWeave
Fluidstack
GPU Pricing Comparison
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Features Comparison
CoreWeave
Fluidstack
Pros & Cons
CoreWeave
Advantages
- Extensive selection of NVIDIA GPUs, including latest models
- Up to 35x faster and 80% less expensive than legacy cloud providers
- Kubernetes-native infrastructure for easy scaling and deployment
- Rapid deployment with ability to access thousands of GPUs in seconds
Considerations
- Primary focus on North American data centers
- Specialized nature may not suit all general computing needs
- Newer player compared to established cloud giants
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
Compute Services
CoreWeave
Fluidstack
Pricing Options
CoreWeave
Fluidstack
Getting Started
CoreWeave
Fluidstack
Support & Global Availability
CoreWeave
Fluidstack
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