CoreWeave vs White Fiber
Compare GPU and LLM inference API pricing between CoreWeave and White Fiber. Find the best rates for AI training, inference, and ML workloads.
CoreWeave
Provider 1
White Fiber
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | CoreWeave Price | White Fiber Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave |  $2.70/hr★ Best8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | $8.60/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | $10.50/hr★ Best 4x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | $6.50/hr★ Best | Not Available | — | |
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • CoreWeave | $6.16/hr★ Best 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | $6.30/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | $1.25/hr★ Best 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | $2.25/hr★ Best 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • CoreWeave | $0.31/hr★ Best 8x GPU | Not Available | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | $2.70/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | $8.60/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | $10.50/hr★ Best 4x GPU | Not Available | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | $6.50/hr★ Best | Not Available | — | |
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • CoreWeave | $6.16/hr★ Best 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | $6.30/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | $1.25/hr★ Best 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | $2.25/hr★ Best 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • CoreWeave | $0.31/hr★ Best 8x GPU | Not Available | — | |
RTX PRO 6000 96GB VRAM • | ||||
Features Comparison
CoreWeave
- Kubernetes-Native Platform
Purpose-built AI-native platform with Kubernetes-native developer experience
- Latest NVIDIA GPUs
First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- Mission Control
Unified security, talent services, and observability platform for large-scale AI operations
- High Performance Networking
High-performance clusters with InfiniBand networking for optimal scale-out connectivity
White Fiber
- AI-First Focus
Infrastructure designed from the ground up for AI workloads
- Efficient Growth
Retrofit strategy can cut build costs by up to 40% and accelerates time-to-market
- Enterprise-Grade Operations
Tier-3 facilities with advanced cooling, SOC 2 Type 2 compliance, and N+1 redundancy
- Scalable Pipeline
Development pipeline sites to meet accelerating demand
Pros & Cons
CoreWeave
Advantages
- Extensive selection of NVIDIA GPUs, including latest Blackwell architecture
- Kubernetes-native infrastructure for easy scaling and deployment
- Fast deployment with 10x faster inference spin-up times
- High cluster reliability with 96% goodput and 50% fewer interruptions
Considerations
- Primary focus on North American data centers
- Specialized nature may not suit all general computing needs
- Learning curve for users unfamiliar with Kubernetes
White Fiber
Advantages
- Vertically integrated AI and HPC infrastructure solution provider
- High-performance GPU clusters optimized for AI workloads
- Tier-3 data centers with advanced cooling and redundancy
- Nasdaq-listed company with proven leadership team
Considerations
- Focus on enterprise customers may not suit smaller teams
- Minimum 12-24 month contract terms required
- Limited to North American data centers
Compute Services
CoreWeave
GPU Instances
On-demand and reserved GPU instances with latest NVIDIA hardware
CPU Instances
High-performance CPU instances to complement GPU workloads
White Fiber
Private Cloud Infrastructure
Deploy customized private cloud infrastructure in WhiteFiber or third-party data centers
Private AI
Reserved access to tailored clusters in the WhiteFiber cloud to minimize capex while maximizing innovation
Pricing Options
CoreWeave
On-Demand Instances
Pay-per-hour GPU and CPU instances with flexible scaling
Reserved Capacity
Committed usage discounts up to 60% over on-demand pricing
Transparent Storage
No ingress, egress, or transfer fees for data movement
White Fiber
12-24 Month Cluster Reservations
Transparent, scalable pricing for high-performance NVIDIA Blackwell and Grace Blackwell clusters with no hidden fees
Private Cloud Pricing
Custom pricing for dedicated private cloud infrastructure and managed services
Hybrid Cloud Solutions
Flexible pricing for burst workloads between private clusters and public GPU cloud
Getting Started
CoreWeave
- 1
Create Account
Sign up for CoreWeave Cloud platform access
- 2
Choose GPU Instance
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- 3
Deploy via Kubernetes
Use Kubernetes-native tools for workload deployment and scaling
White Fiber
- 1
Requirements
Define workloads, compliance needs, geography, timeline, and scaling requirements
- 2
Design
5-Tier Design Model with performance optimized cluster architecture based on workloads
- 3
Deploy
Deploy in WhiteFiber Data Centers, third-party data centers, or WhiteFiber Cloud
- 4
Operate
Ongoing cluster management with contracted SLAs and optimization as workloads evolve
Support & Global Availability
CoreWeave
Global Regions
Deployments across North America with expanding global presence
Support
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise
White Fiber
Global Regions
North American data centers with extensive network footprint and development pipeline
Support
Enterprise-grade support with contracted SLAs, high-touch engagement model, and access to AI experts
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