Optimization Studio – Initial Release Notes

✨ Overview

Optimization Studio is a cloud-based graphical interface designed to help users efficiently optimize AI models for deployment on edge devices.

This tool simplifies the traditionally complex process of model quantization and optimization by offering a no-code, visual workflow. Users can upload their models, configure optimization settings, and generate deployable, hardware-friendly versions of those models — all through a streamlined interface.

Whether you are a machine learning engineer looking for fine-grained control, or a non-technical user aiming to apply optimization with minimal setup, Optimization Studio provides a flexible, intuitive solution.

If you’d like to try Optimization Studio, please visit the link below:
Optimization Studio

💡 What You Can Do with Optimization Studio

• Upload AI models and automatically apply post-training quantization
• Reduce model size, latency, and memory usage while maintaining accuracy
• Generate optimized models compatible with various edge hardware targets
• Compare performance metrics (latency, memory, model size, etc.) before and after optimization
• Use auto-recommendation for quantization or configure settings layer by layer

🧠 Why It Matters

Optimizing models for edge deployment typically requires deep technical expertise and time-consuming manual adjustments. Optimization Studio eliminates those barriers by turning optimization into a visual, guided experience — making model deployment faster, more accessible, and less error-prone.