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Unlocking the Power of Edge AI With Microchip Technology

From the factory floor to the operating room, edge AI is changing everything. Here’s how Microchip is helping developers bring real-time intelligence to the world’s most power-constrained devices.


When Intelligence Meets the Edge

Not long ago, Artificial Intelligence (AI) lived exclusively in massive cloud servers. Today, it's showing up in palm-sized devices—monitoring engines, scanning barcodes, even alerting caregivers when someone falls.

At Microchip Technology, we’ve seen the shift firsthand. Engineers are no longer just designing electronics; they’re building intelligent systems that can learn, adapt and act—without ever going online.

But building AI for the edge isn’t easy. Developers face tight power budgets, limited memory and the pressure to deploy quickly. That’s where we come in.

AI-Optimized Hardware: Power Meets Performance

Imagine you’re designing a predictive maintenance device for industrial motors. It needs to catch anomalies before a breakdown—but run on a coin-cell battery and fit in a control cabinet.

Microchip’s wide portfolio—from ultra-low-power 8-bit MCUs to powerful 64-bit microprocessors (MPUs) and PolarFire® Field-Programmable Gate Arrays (FPGAs)—gives you the flexibility to match the right processor to the job. Whether you’re tracking motion, analyzing vibration or interpreting voice commands, our devices deliver efficient inferencing at the edge.

But it’s not just about performance—it’s about doing more with less.

With Microchip, you're not locked into a one-size-fits-all architecture. Our scalable hardware offerings let you start small—perhaps with an 8-bit microcontroller (MCU) for proof of concept—and grow into 32-bit, 64-bit or FPGA-based solutions as your application matures. This approach helps you manage development costs and production complexity while keeping your design roadmap agile.

And when you're building a product meant to last, you need the confidence that your hardware will still be around years from now. That’s why our industry-leading, customer-driven non-obsolescence policy ensures long-term supply availability. Our commitment to product longevity means your investment is protected—from prototype to full-scale deployment.

Highlights:

  • Power-efficient MCUs for always-on sensing
  • High-performance MPUs for complex inference
  • Secure, deterministic FPGAs for video and vision processing
  • Scalable, cost-effective solutions across your product portfolio
  • Long-term availability backed by our non-obsolescence policy

Developer Tools for AI/ML Deployment

We’ve met countless engineers who said,
"I have a model. I have the data. But how do I actually get this running on hardware?"

So we built the tools to answer that question—without requiring you to have a machine learning PhD.

MPLAB® Machine Learning (ML) Development Suite

Train, validate and deploy ML models with minimal code. With built-in AutoML, our suite compresses and optimizes models to run on MCUs and DSCs—even with tight memory constraints.

VectorBlox™ Accelerator SDK

For high-throughput applications, VectorBlox lets you optimize and deploy models on PolarFire FPGAs. It’s tailor-made for video analytics, smart surveillance and low-latency edge processing.

These tools are making it possible for developers—many of them new to AI—to go from “concept” to “product” in record time.

Simplifying AI Development With Partners

AI at the edge doesn’t have to be a solo journey. With our partner ecosystem, they got expert help with data preprocessing, model design and embedded optimization—and launched their product ahead of schedule.

Our ecosystem includes:

  • ML framework integrators
  • Data science consultants
  • Deployment specialists

These partnerships remove the complexity from embedded AI and allow teams to focus on what matters most: solving real-world problems.

The Future of AI at the Edge Starts Here

From smart healthcare to autonomous logistics, the next wave of innovation is being powered by AI at the edge. And it's happening on Microchip silicon.

We’re here to provide the hardware, the tools and the partnerships that help you build intelligent systems that work—in the real world, under real constraints. Whether you need a low-cost, low-power MCU or a high-throughput FPGA, Microchip offers a cost-effective path to scale with full support at every step.

And when you design with Microchip, you’re not designing for today only—you’re designing for the long haul. With our proven track record of long-term product supply and commitment to supporting our customers over decades, you can innovate with peace of mind.

Ready to Get Started?

Explore our AI/ML developer tools, reference designs and partner network today.

Nick De Rosa, May 29, 2025
Tags/Keywords: AI-ML