Cudo Compute vs IBM Cloud

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

Cudo Compute logo

Cudo Compute

Provider 1

5
GPUs Available
Visit Website
IBM Cloud logo

IBM Cloud

Provider 2

0
GPUs Available
Visit Website

Comparison Overview

5
Total GPU Models
Cudo Compute logo
5
Cudo Compute GPUs
IBM Cloud logo
0
IBM Cloud GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 5Both available: 0Cudo Compute: 5IBM Cloud: 0
Showing 5 of 5 GPUs
Last updated: 12/8/2025, 5:51:52 AM
A100 PCIE
40GB VRAM •
Cudo ComputeCudo Compute
$1.50/hour
Updated: 5/15/2025
Best Price
Not Available
A40
48GB VRAM •
Cudo ComputeCudo Compute
$0.39/hour
Updated: 5/15/2025
Best Price
Not Available
RTX A5000
24GB VRAM •
Cudo ComputeCudo Compute
$0.35/hour
Updated: 5/15/2025
Best Price
Not Available
RTX A6000
48GB VRAM •
Cudo ComputeCudo Compute
$0.45/hour
Updated: 5/15/2025
Best Price
Not Available
Tesla V100
32GB VRAM •
Cudo ComputeCudo Compute
$0.39/hour
Updated: 5/15/2025
Best Price
Not Available

Features Comparison

Cudo Compute

  • GPU-first cloud

    On-demand and reserved GPU capacity with models ranging from V100 and A40 to L40S, A800, A100 80 GB, and H100 SXM

  • Cluster and bare metal options

    Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference

  • Global data center catalog

    Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators

  • API and automation

    REST API and documented workflows for provisioning, scaling, and lifecycle automation

  • Enterprise focus

    Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity

IBM Cloud

    Pros & Cons

    Cudo Compute

    Advantages
    • Wide GPU lineup including flagship H100 and A100 alongside cost-effective V100/A40/L40S options
    • Data center coverage across UK, US, Nordics, and Africa for latency and sovereignty needs
    • Transparent per-GPU pricing with visible commit-term discounts in the catalog
    • Choice of VMs, bare metal, and clusters for different performance and tenancy needs
    Considerations
    • Smaller managed service ecosystem than hyperscalers
    • GPU availability varies by data center and model
    • Account approval may be required for larger reservations

    IBM Cloud

    Advantages
    • Strong focus on AI and data workloads
    • Enterprise-grade support
    • Integration with IBM's AI tools
    Considerations
    • Limited global presence compared to competitors
    • Higher cost for some services
    • Less community support

    Compute Services

    Cudo Compute

    GPU Cloud

    On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.

    • Supports NVIDIA GPUs from V100 through H100 with per-GPU pricing
    • Elastic storage and IPv4 reservation per instance
    Virtual Machines

    CPU and GPU-backed VMs for general workloads and AI inference.

    • Multiple CPU families and memory/vCPU ratios
    • Attach GPUs as needed for acceleration
    Bare Metal and Clusters

    Dedicated servers and multi-node GPU clusters for high-performance training and rendering.

    • Supports H100, A100 80 GB, L40S, and A800 cluster builds
    • Commitment options for capacity guarantees and better rates

    IBM Cloud

    IBM Virtual Servers for VPC

    GPU‑accelerated virtual servers on IBM Cloud VPC.

    Pricing Options

    Cudo Compute

    On-demand GPU VMs

    Hourly per-GPU pricing with published rates by data center and GPU model

    Reserved Capacity

    Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply

    Bare Metal and Cluster Quotes

    Dedicated hardware and multi-node clusters priced per reservation with private networking options

    IBM Cloud

    Getting Started

    Cudo Compute

    Get Started
    1. 1
      Create an account

      Sign up and log into the Cudo Compute console.

    2. 2
      Choose a data center

      Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.

    3. 3
      Select hardware

      Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.

    4. 4
      Launch a VM or cluster

      Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.

    5. 5
      Secure and monitor

      Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.

    IBM Cloud

    Get Started

      Support & Global Availability

      Cudo Compute

      Global Regions

      Data centers listed across Manchester (UK), Stockholm and Kristiansand (Nordics), Lagos (Nigeria), and US sites including Carlsbad, Dallas, and New York, with additional locations in the catalog.

      Support

      Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.

      IBM Cloud