CoreWeave vs Vultr

Compare GPU pricing, features, and specifications between CoreWeave and Vultr 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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Vultr logo

Vultr

Provider 2

5
GPUs Available
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Comparison Overview

8
Total GPU Models
CoreWeave logo
7
CoreWeave GPUs
Vultr logo
5
Vultr GPUs
4
Direct Comparisons

Average Price Difference: $1.84/hour between comparable GPUs

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CoreWeave
Vultr

GPU Pricing Comparison

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Features Comparison

CoreWeave

    Vultr

    • AMD and NVIDIA GPU Options

      Access to diverse GPU options including AMD Instinct and NVIDIA Tensor Core GPUs

    • Global Availability

      Deploy GPU resources across 32 cloud data center regions worldwide

    • Kubernetes Support

      Vultr Kubernetes Engine for GPU-accelerated containerized workloads

    • Serverless Inference

      Deploy and scale GenAI models quickly with Vultr Serverless Inference

    • Virtual Machines and Bare Metal

      Choose between GPU-accelerated VMs or dedicated bare metal servers

    • Global Content Delivery

      Accelerate content delivery across six continents with Vultr CDN

    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

    Vultr

    Advantages
    • Wide range of AMD and NVIDIA GPU options
    • Extensive global network (32 data center regions)
    • Both VM and bare metal deployment options
    • Kubernetes and containerization support
    Considerations
    • Medium GPU availability compared to some specialized providers
    • Less established in the GPU market compared to major hyperscalers
    • Limited documentation specific to GPU workloads

    Compute Services

    CoreWeave

    Vultr

    NVIDIA GPU Instances

    Virtual machines and bare metal servers with NVIDIA GPUs

    AMD GPU Instances

    Computing infrastructure powered by AMD Instinct accelerators

    Vultr Kubernetes Engine

    Managed Kubernetes service for GPU-accelerated containerized applications

    • GPU-accelerated Kubernetes clusters
    • Global deployment options

    Pricing Options

    CoreWeave

    Vultr

    Getting Started

    CoreWeave

    Get Started
      1. 1
        Create an account

        Sign up for a free Vultr account

      2. 2
        Select GPU instance

        Choose from AMD or NVIDIA GPU options based on your workload

      3. 3
        Choose deployment type

        Select between virtual machine or bare metal deployment

      4. 4
        Configure and launch

        Set up networking, storage, and security options before launching

      Support & Global Availability

      CoreWeave

      Vultr

      Global Regions

      32 global cloud data center regions across North America, South America, Europe, Asia, Africa, and Australia

      Support

      Documentation, community forums, support tickets, and dedicated customer support