Silicon PriceIQ™ is a predictive tool designed to provide accurate price estimations for GPU rentals based on various technical and market parameters. By inputting specific configurations, users can obtain real-time pricing insights for different GPU setups, helping optimize cloud computing costs for AI, ML, and high-performance computing (HPC) workloads.

Silicon PriceIQ™ leverages a machine-learning-driven model that aggregates market data to generate reliable price predictions, helping businesses, developers, and researchers make informed decisions on GPU allocation.

​
Key Features

  • Real-Time Price Estimation:

    • Predicts GPU rental prices based on input specifications, including GPU model, RAM, CPU cores, and geolocation.
    • Supports multiple pricing models such as On-Demand, Reserved, and Spot Instances.
    • Provides percentile-based price distribution analysis for better decision-making.

  • Configurable Parameters: Users can customize predictions by adjusting:

    • GPU Model (e.g., A100 PCIE, H100, V100, etc.)
    • Type (On-Demand, Reserved, or Spot)
    • GPU RAM (GB)
    • CPU Cores (Effective)
    • CPU RAM (GB)
    • Geolocation (Region-based pricing variations)
    • CPU Platform (AMD, Intel, ARM)

  • Price Distribution & Market Insights:

    • Displays normalized price distribution with quantiles (10th, 25th, 50th/median, 75th, 90th percentiles).
    • Helps users compare predicted prices with actual market trends.

​
How to Use

​
Step 1: Select GPU & Configuration

  • Choose a GPU model and set specifications for RAM, CPU cores, and platform.
  • Define the pricing type (On-Demand, Reserved, Spot).
  • Select a geographical location to account for regional price differences.

​
Step 2: Predict Price

  • Click “Predict Price” to generate a real-time estimated price per hour for the selected GPU configuration.
  • The tool provides percentile-based insights into pricing variations across different providers.

​
Step 3: Analyze Results

  • View predicted price, distribution percentiles, and market trends.
  • Compare pricing against industry benchmarks and competitor offerings.

​
Benefits

  • Helps users determine the most cost-effective GPU configuration.
  • Offers percentile-based pricing comparisons. atforms.
  • Real-time predictions.

​
Contact and Support

For additional information or technical support, please contact:

Silicon PriceIQ™ is a predictive tool designed to provide accurate price estimations for GPU rentals based on various technical and market parameters. By inputting specific configurations, users can obtain real-time pricing insights for different GPU setups, helping optimize cloud computing costs for AI, ML, and high-performance computing (HPC) workloads.

Silicon PriceIQ™ leverages a machine-learning-driven model that aggregates market data to generate reliable price predictions, helping businesses, developers, and researchers make informed decisions on GPU allocation.

​
Key Features

  • Real-Time Price Estimation:

    • Predicts GPU rental prices based on input specifications, including GPU model, RAM, CPU cores, and geolocation.
    • Supports multiple pricing models such as On-Demand, Reserved, and Spot Instances.
    • Provides percentile-based price distribution analysis for better decision-making.

  • Configurable Parameters: Users can customize predictions by adjusting:

    • GPU Model (e.g., A100 PCIE, H100, V100, etc.)
    • Type (On-Demand, Reserved, or Spot)
    • GPU RAM (GB)
    • CPU Cores (Effective)
    • CPU RAM (GB)
    • Geolocation (Region-based pricing variations)
    • CPU Platform (AMD, Intel, ARM)

  • Price Distribution & Market Insights:

    • Displays normalized price distribution with quantiles (10th, 25th, 50th/median, 75th, 90th percentiles).
    • Helps users compare predicted prices with actual market trends.

​
How to Use

​
Step 1: Select GPU & Configuration

  • Choose a GPU model and set specifications for RAM, CPU cores, and platform.
  • Define the pricing type (On-Demand, Reserved, Spot).
  • Select a geographical location to account for regional price differences.

​
Step 2: Predict Price

  • Click “Predict Price” to generate a real-time estimated price per hour for the selected GPU configuration.
  • The tool provides percentile-based insights into pricing variations across different providers.

​
Step 3: Analyze Results

  • View predicted price, distribution percentiles, and market trends.
  • Compare pricing against industry benchmarks and competitor offerings.

​
Benefits

  • Helps users determine the most cost-effective GPU configuration.
  • Offers percentile-based pricing comparisons. atforms.
  • Real-time predictions.

​
Contact and Support

For additional information or technical support, please contact: