Integrating ModelNova Fusion Studio with Arm Keil MDK

“Edge AI enables fast, private, and reliable on-device intelligence without depending on cloud connectivity.”, Arm webinar overview

What’s covered

A 30-minute walk-through of how ModelNova’s Fusion Studio integrates with Arm Keil MDK to streamline edge-AI workflows on Cortex-M microcontrollers and the Ethos-U microNPU, plus live Q&A. The session covers:

• What an MLOps system is: the discipline-equivalent of DevOps for ML pipelines, and what it changes for embedded teams who previously treated ML model development as a one-shot exercise.
• How to move from captured training data to an optimised ML model: the train → quantise → optimise loop that makes a model small enough and fast enough to live on a Cortex-M with bounded memory and bounded power.
• How to understand and validate model KPIs: accuracy, latency, memory footprint, energy per inference; which to trade against which depending on the product.
• How to validate ML models with SDS and SystemView: capturing real-world data on-device with the Synchronous Data Stream (SDS) framework and visualising model behaviour with SEGGER SystemView during development.

Session times

Region	Time
India	Tuesday 21 July 2026, 20:30 IST
UK	Tuesday 21 July 2026, 16:00 BST
Central Europe	Tuesday 21 July 2026, 17:00 CEST
US Pacific	Tuesday 21 July 2026, 08:00 PDT

Format: 30 minutes + Q&A. Registration and attendance is completely free. Times sourced from the official Arm webinar page.

Why Indian teams should attend

Edge AI on Cortex-M and Ethos-U is the next frontier for Indian product teams in industries where the cloud-AI cost model breaks down, medical devices with strict privacy requirements, industrial controllers in sites with no reliable network, automotive ECUs where latency budgets are sub-millisecond, and smart consumer products where always-on cloud calls aren’t economical at scale. Teams in Bengaluru, Hyderabad, Pune, Chennai, Mumbai, and Delhi NCR building toward edge-AI products will recognise the gap this webinar fills: most ML tooling targets cloud or server inference, very little of it is calibrated for the bounded-memory, bounded-power constraints of a Cortex-M / Ethos-U deployment.

Why GSAS is sharing this

GSAS Micro Systems is Arm’s authorized partner in India for Arm Development Tools. We share live Arm webinars so Indian engineering teams hear directly from the product team, and so teams building edge-AI products in India know what tooling combinations Arm and ModelNova are validating together. If you have specific questions about how the Fusion Studio + Keil MDK toolchain fits into your edge-AI product roadmap on Cortex-M or Ethos-U, talk to us after the webinar.

Reserve your seat on developer.arm.com →