CoreWeave vs Google Cloud

Compare GPU pricing, features, and specifications between CoreWeave and Google Cloud cloud providers. Find the best deals for AI training, inference, and ML workloads.

CoreWeave logo

CoreWeave

Provider 1

7
GPUs Available
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Google Cloud logo

Google Cloud

Provider 2

0
GPUs Available
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Comparison Overview

7
Total GPU Models
CoreWeave logo
7
CoreWeave GPUs
Google Cloud logo
0
Google Cloud GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 0CoreWeave: 7Google Cloud: 0
Showing 7 of 7 GPUs
Last updated: 1/15/2026, 4:27:33 PM
A100 SXM
80GB VRAM •
CoreWeaveCoreWeave
$21.60/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
B200
192GB VRAM •
CoreWeaveCoreWeave
$68.80/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
GH200
96GB VRAM •
CoreWeaveCoreWeave
$6.50/hour
Updated: 12/17/2025
Best Price
Not Available
H100
80GB VRAM •
CoreWeaveCoreWeave
$49.24/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
H200
141GB VRAM •
CoreWeaveCoreWeave
$50.44/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
L40
40GB VRAM •
CoreWeaveCoreWeave
$10.00/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available
L40S
48GB VRAM •
CoreWeaveCoreWeave
$18.00/hour
8x GPU configuration
Updated: 12/17/2025
Best Price
Not Available

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

Google Cloud

  • Compute Engine

    Scalable virtual machines with a wide range of machine types, including GPUs.

  • Google Kubernetes Engine (GKE)

    Managed Kubernetes service for deploying and managing containerized applications.

  • Cloud Functions

    Event-driven serverless compute platform.

  • Cloud Run

    Fully managed serverless platform for containerized applications.

  • Vertex AI

    Unified ML platform for building, deploying, and managing ML models.

  • Preemptible VMs

    Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

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

Google Cloud

Advantages
  • Flexible pricing options, including sustained use discounts
  • Strong AI and machine learning tools (Vertex AI)
  • Good integration with other Google services
  • Cutting-edge Kubernetes implementation (GKE)
Considerations
  • Limited availability in some regions compared to AWS
  • Complexity in managing resources
  • Support can be costly

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

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

  • Automated Kubernetes operations
  • Integration with Google Cloud services
Cloud Functions

Serverless compute platform for running code in response to events.

  • Automatic scaling and high availability
  • Pay only for the compute time consumed

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

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

Getting Started

CoreWeave

Get Started
  1. 1
    Create Account

    Sign up for CoreWeave Cloud platform access

  2. 2
    Choose GPU Instance

    Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture

  3. 3
    Deploy via Kubernetes

    Use Kubernetes-native tools for workload deployment and scaling

Google Cloud

Get Started
  1. 1
    Create a Google Cloud project

    Set up a project in the Google Cloud Console.

  2. 2
    Enable billing

    Set up a billing account to pay for resource usage.

  3. 3
    Choose a compute service

    Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.

  4. 4
    Create and configure an instance

    Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.

  5. 5
    Manage resources

    Use the Cloud Console, command-line tools, or APIs to manage your resources.

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

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.