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Compare GPU and LLM inference API pricing between Google Cloud and White Fiber. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | White Fiber Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Infrastructure designed from the ground up for AI workloads
Retrofit strategy can cut build costs by up to 40% and accelerates time-to-market
Tier-3 facilities with advanced cooling, SOC 2 Type 2 compliance, and N+1 redundancy
Development pipeline sites to meet accelerating demand
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Deploy customized private cloud infrastructure in WhiteFiber or third-party data centers
Reserved access to tailored clusters in the WhiteFiber cloud to minimize capex while maximizing innovation
Pay for compute capacity per hour or per second, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Save up to 80% for fault-tolerant workloads that can be interrupted.
Transparent, scalable pricing for high-performance NVIDIA Blackwell and Grace Blackwell clusters with no hidden fees
Custom pricing for dedicated private cloud infrastructure and managed services
Flexible pricing for burst workloads between private clusters and public GPU cloud
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Define workloads, compliance needs, geography, timeline, and scaling requirements
5-Tier Design Model with performance optimized cluster architecture based on workloads
Deploy in WhiteFiber Data Centers, third-party data centers, or WhiteFiber Cloud
Ongoing cluster management with contracted SLAs and optimization as workloads evolve
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
North American data centers with extensive network footprint and development pipeline
Enterprise-grade support with contracted SLAs, high-touch engagement model, and access to AI experts