IBM Cloud vs IO.NET

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

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IBM Cloud

Provider 1

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GPUs Available
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IO.NET logo

IO.NET

Provider 2

0
GPUs Available
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Comparison Overview

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Total GPU Models
IBM Cloud logo
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IBM Cloud GPUs
IO.NET logo
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IO.NET GPUs
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Direct Comparisons
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IBM Cloud
IO.NET

GPU Pricing Comparison

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Features Comparison

IBM Cloud

    IO.NET

    • Massive Decentralized Network

      Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs

    • Rapid Deployment

      Deploy clusters in under 90 seconds with auto-scaling capabilities

    • Multiple Deployment Options

      Choose from containers, Ray clusters, or bare metal based on workload needs

    • Built on Ray.io

      Uses the same distributed computing framework that OpenAI used to train GPT-3

    • IO Intelligence

      AI models, smart agents, and API integration for workflow automation

    • Mesh VPN Security

      Kernel-level VPN with secure mesh protocols for data protection

    Pros & Cons

    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

    IO.NET

    Advantages
    • Up to 90% cost savings compared to AWS, GCP, and Azure
    • Fastest deployment time in the industry (under 90 seconds)
    • Massive global network with 300,000+ GPUs available
    • No waitlists, approvals, or long-term contracts required
    Considerations
    • Newer platform compared to established cloud providers
    • Decentralized nature may have performance consistency variations
    • Primarily crypto-native payment model ($IO tokens)

    Compute Services

    IBM Cloud

    IO.NET

    IO Cloud

    On-demand GPU clusters for AI/ML workloads with multiple deployment options

    IO Intelligence

    AI models, smart agents, and API integration platform

    • Custom AI model deployment
    • Intelligent agent framework

    Pricing Options

    IBM Cloud

    IO.NET

    Ray Cluster Pricing

    Most cost-effective option for distributed ML workloads using Ray framework

    Container Pricing

    Standard containerized deployments with Docker support

    Bare Metal Pricing

    Premium pricing for direct hardware access and maximum performance

    Auto-scaling

    Dynamic pricing based on actual resource usage with automatic scaling

    Getting Started

    IBM Cloud

    Get Started
      1. 1
        Sign up for IO.NET

        Create an account on the IO.NET platform with no complex KYC requirements

      2. 2
        Acquire $IO tokens

        Purchase $IO tokens for compute payments or add other supported payment methods

      3. 3
        Choose deployment type

        Select from containers, Ray clusters, or bare metal based on your workload

      4. 4
        Configure cluster

        Specify GPU requirements, region preferences, and scaling options

      5. 5
        Deploy in seconds

        Launch your cluster in under 90 seconds and start your AI/ML workloads

      Support & Global Availability

      IBM Cloud

      IO.NET

      Global Regions

      Global distributed network across 139 countries with intelligent geographic clustering and latency optimization

      Support

      Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions