Overview
The Edge AI Sizing Tool enables zero-code workload setup, compares CPU, GPU, NPU performance, monitors Vision AI and Generative AI resource usage, and guides right-sizing hardware for cost-efficient deployments.
Benefits
Using a tool like this brings advantages in both planning and execution phases.
Right Hardware Selection & Cost Efficiency
Find the right system with visual help—see how your intended AI workload performs across selected systems and configurations, and determine whether they meet your performance goals and cost targets.
Faster Experimentation
Quickly test your models, and precision levels to accelerate prototyping and proof-of-concept for both Vision and Generative AI use-cases.
Predictable & Scalable Performance
Gain real-world data on latency, throughput, and resources used to plan confidently for both current deployments and future scaling.
How It Works
Easily evaluate edge performance—just few simple steps to get the Edge AI Sizing Tool up and running.
- View or Download Edge AI Sizing tool source files from public repository link on Github.
- To pull Edge AI Sizing Tool source files, simply use git clone command on a command line console as shown here.
git clone https://github.com/open-edge-platform/edge-ai-sizin
Click the image for the full view.
To initiate installation, follow the steps below. Detailed instructions are available here.
cd edge-ai-sizing tool
sudo ./install.shLaunch the app and begin evaluating Vision AI and Generative AI workloads and models on your hardware.
./start.shGet Started
Here are some examples on how to utilize Edge AI Sizing Tools.
Add Your Workload – create a workload that closely aligns to your use case.
In this example, we demonstrate how various input, and models can be used for your sizing activity.
Generate A Report – When you are satisfied with your systems sizing activity, a report can be generated by selecting the “Export as PDF” button as shown here.
Explore Other Edge AI Use-Cases – by adding more workloads on your system, we can understand the full potential of the system we intend to deploy. Here is an example of AI workloads orchestrated on the same system.
Try the Edge AI Sizing Tool on the Testbed
The AI Sizing Tool helps you get the most out of your resources. Use our testbed to see how it accurately recommends the right resource allocation and helps prevent over-provisioning.
Try on Testbed
Support
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