Kaisar
  • Origins
    • Overview & Mission
    • Challenges
      • Exponential Change in Spending and Compute Requirements
      • Cost challenges with traditional cloud GPU providers.
      • Centralized GPU Computing Challenges
      • Building the Kaisar Network
    • Problem Statement
    • The Solution: Kaisar's Decentralized GPU Network
      • Kaisar's Competitive Edge
        • Technical Specifications
    • FAQ
      • What is Kaisar?
      • Does Kaisar use blockchain technology?
      • What are the main products offered by Kaisar?
      • Can I contribute my GPU resources to Kaisar?
      • What is Proof of Physical Work (PoPW)?
      • How does Kaisar GPU Container work?
      • What frameworks are supported by Kaisar GPU Container?
      • How do I deploy a GPU Container?
      • What payment methods are accepted?
      • How is pricing determined?
      • What GPUs are supported?
      • How do I monitor my GPU container?
      • How does Kaisar ensure security of containers?
      • How do I get started with Kaisar?
  • Kaisar Architecture
    • Overview
      • Key Components
      • Kaisar Network Overview
    • Detailed Architecture
      • Architecture Layers
        • Security Layer
        • Backend Layer
        • Infrastructure Layer
        • Frontend Layer
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      • Kaisar Checker
      • Kaisar Cloud ( End-User ) Workflow
      • Kaisar Provider
    • Glossary of Terms
  • Products
    • Kaisar Cloud (End-Users)
      • Kaisar GPU Container
      • How to rent GPUs
      • How to deploy a GPU Container
      • Releases
    • Kaisar Checker Node
      • What is the Kaisar Checker Node
        • Introduction
        • How do Checker Nodes Work
        • Benefits of Owning a Checker Node
        • Node Sale Information
        • Referral Mechanism
        • What is the Checker Node License (NFT)
        • Reward Calculation Formula
        • Reward Unlock Period
        • FAQs
      • How to Purchase Checker Nodes
        • Step 1 - Connect wallet
        • Step 2 - Choose the Network
        • Step 3 - Commitment Submission
        • Step 4 - Referral Link Sharing
        • Step 5 - Confirmation
        • What’s Next?
        • FAQs
      • How to Manage Checker Nodes
        • Get started
        • Connect Wallet
        • Delegate and Undelegate your Checker NFT Licenses
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Cost challenges with traditional cloud GPU providers.

PreviousExponential Change in Spending and Compute RequirementsNextCentralized GPU Computing Challenges

Last updated 7 months ago

The cost challenges associated with cloud GPU providers is highlighted by where the demand for GPUs, especially for training large AI models, has surged, leading to capacity constraints. Instances where multiple users require a large number of GPUs simultaneously can lead to contention and underutilization, driving up costs as cloud providers struggle to balance supply and demand efficiently.

Other prominent reasons for cost challenges are:

  • Hidden costs such as egress fees also contribute significantly to the overall expense, often catching businesses by surprise (Source:).

  • The methods for deploying GPU resources in the cloud, such as pass-through can be wasteful for smaller applications. GPU virtualization.(Source: ).

  • Use of advanced technologies in AI models has introduced new costs in compute. While these technologies improve the performance of AI models they still require significant investment in infrastructure.(Source: ).

The plot from below shows how the number of GPUs provisioned scales with the fluctuating request rate over time. As the request rate increases or decreases, the number of GPUs provisioned also adjusts accordingly to match the demand, demonstrating elastic resource scheduling.

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Splunk
SpringerLink
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