NXP EdgeVerse Techcast

EV Charging Goes Beyond Power: Plug-and-Charge, V2G, Security & NXP EasyEVSE Platforms | EdgeVerse Techcast
In this EdgeVerse Techcast episode, host Kyle Dando and co-host Bridgette Stone welcome Susanne "Susie" Zach, NXP's EV charging segment lead, to discuss how EV charging stations are becoming more intelligent, connected, and integrated with the energy ecosystem. Susie highlights key market trends including Plug-and-Charge authentication and growing interest in bi-directional charging and vehicle-to-grid capabilities, alongside rising requirements for cybersecurity, remote management, and interoperability. The conversation covers customer design challenges such as integrating power electronics, communications, cloud connectivity, metrology, compliance, and security while accelerating time to market. Susie explains NXP's system-level portfolio and EdgeLock security approach, and walks through three EasyEVSE development platforms—entry-level MCU, advanced MCU, and i.MX 93 Linux-based—plus where developers can get started.
Episode Resources:
www.nxp.com/evse
Deep Dive Video on EasyEVSE Development Platforms
App Code Hub: EVSE Example Projects
00:00 Welcome to EdgeVerse
00:31 EV Charging Curiosity
01:40 Market Trends Today
03:29 Design Challenges Ahead
05:15 NXP System Approach
07:06 EasyEVSE Platforms
09:56 Choosing the Right Fit
10:44 How to Get Started
12:21 Wrap Up and Links

Piggy Bank vs. Fort Knox: Scalable Embedded Security with NXP's Wendy Warne 
In this EdgeVerse Techcast episode, the hosts explore why security is now foundational to connected edge devices and product life cycles, and how developers should right-size protection instead of defaulting to the most advanced architecture. NXP Field Application Engineer Wendy Warne explains how customer conversations start by identifying where requirements come from, what the system is, what must be protected, and what the impact of compromise would be—illustrated with a child's piggy bank versus Fort Knox. She outlines NXP's scalable security tiers (Basic, Essential, Advanced, High), clarifies hardware root of trust using immutable boot ROM verification, and describes the EdgeLock Secure Enclave as an isolated security system managing functions like secure boot, lifecycle, debug control, keys, and crypto. Wendy also highlights onboarding resources including MCUXpresso SEC Tool and example code for features like secure firmware update, tamper detection, and debug authentication.
Episode Resources:
http://www.nxp.com/security
http://www.nxp.com/cra
http://www.nxp.com/edgelock
00:00 Security Is Foundational
01:38 Meet Wendy Warne NXP FAE
02:32 Defining Real Requirements
03:56 Piggy Bank vs Fort Knox
07:05 Scalable Security Tiers
10:21 Hardware Root of Trust
13:00 EdgeLock Secure Enclave
14:32 Tools and Onboarding
16:25 Examples and Resources
17:34 Key Takeaways and Wrap

AI Acceleration Week Finale: Gateworks + NXP Bring 40 TOPS Edge AI to Mission-Critical Systems (Featuring "Ari")
In the 3rd and final episode of AI Acceleration Week on the EdgeVerse Techcast, co-hosts Kyle Dando and Bridgette Stone are joined by Hailey Terrones from Gateworks to discuss how industrial AI is moving beyond cloud demos into real-world, mission-critical edge systems. They explain the Gateworks–NXP partnership and how Gateworks turns NXP silicon like the i.MX 95 (with EdgeLock security) into deployment-ready, USA-made industrial SBCs that speed time to market and support long lifecycles and customization. The episode highlights AI acceleration at the edge using the NXP Ara240 discrete NPU (40 TOPS) as an M.2 module to offload inference, improve latency, power efficiency, privacy, and future-proof upgrades for robotics, automation, drones, smart energy, and critical infrastructure. A humorous segment features "Ari," an AI agent, answering audience-style questions in real time. 
Episode Resources:
GW16168 USA-Made M.2 AI Accelerator | NXP Ara240 DNPU
GW11062-1 NXP Ara240 DNPU + i.MX95 SBC Development Kit (Includes GW16168, iMX95 Catalina SBC, JTAG Programmer, power supply and accessory cables)
Gateworks Ara240 DNPU AI Accelerator Software Wiki
00:00 Welcome to EdgeVerse 
01:18 Meet GateWorks
02:00 Introducing Ari Agent
02:29 GateWorks NXP Partnership
03:48 Edge AI With Ara240
04:36 Q&A Game Setup
05:36 Why Choose i.MX 95 SBC
08:22 Why Add Ara240 DNPU
12:30 Real World Use Cases
13:29 How to Get Started
14:11 Wrap Up and Subscribe

AI Acceleration Week (Ep. 2): Functional Safety + Edge AI with Ara 240 and F&S Elektroniksystem
In the second episode of EdgeVerse Techcast's AI Acceleration Week, co-hosts Bridgette Stone and Kyle speak with Andreas "Andy" Kopitz of F&S Elektroniksystem about how developers can start building edge AI products using NXP's Ara 240 alongside the i.MX 95, especially for robotics and autonomous systems. Andy explains that customers increasingly want functional safety, Linux, ROS 2, multiple high-resolution camera streams, and real-time AI decision-making on compact platforms, creating a gap in AI performance that Ara 240 helps close. He describes how pairing i.MX 95 for system control, security, connectivity, HMI, and safety architecture with Ara 240 for AI acceleration enables demanding applications, and how F&S supports developers with complete platforms, an Ara 240 M.2 module, Linux/Yocto BSPs, and functional-safety approaches using hypervisor and safety supervisor layers with direct engineering support.
Episode Resources:
F&S M.2 Edge AI Ara 240 SMARC (Video)
M2 Ara2 Edge AI Product Page
www.nxp.com/Ara240
00:00 Welcome to AI Week
01:05 Meet Andy from F&S
01:59 Hobbies and Banter
03:21 Austin Meeting Insights
04:11 Customer Demands and Gaps
06:35 Ara 240 Closes the Gap
08:14 Why F&S Was Chosen
09:38 F&S i.MX95 plus Ara Platform
11:12 Software and Linux Safety
13:11 Robotics with ROS2 and Safety
14:45 Getting Started Resources
16:17 Wrap Up and Next Episode

AI Acceleration Week Kickoff: Edge AI Trends, Multimodal & Generative AI, and NXP DNPUs with Ravi Annavajjala
Edge Verse Techcast kicks off AI Acceleration Week with the first of three episodes exploring technologies shaping the future of edge AI. Hosts Bridgette and Kyle welcome Ravi Annavajjala, former CEO of Kinara and now leader of NXP's NPU product line. Ravi explains key edge AI trends, including the shift from cloud-centric AI to distributed intelligence driven by latency, privacy, bandwidth, and real-time responsiveness. The episode also covers the evolution from vision-only AI to multimodal systems combining voice, video, sensors, and context. Ravi discusses why edge inferencing matters for robotics, industrial automation, and automotive, and introduces NXP's discrete neural processing units (DNPUs) as dedicated accelerators for advanced inference workloads like generative and multimodal AI. The episode also highlights NXP's eIQ software environment and ecosystem partners enabling developers to move from prototyping to production.
Episode Resources:
www.nxp.com/ara240
www.nxp.com/eiq
www.nxp.com/ai
00:00 AI Acceleration Week Intro
01:35 Meet Ravi Annavajjala
02:50 Big Trends in Edge AI
04:18 Why Edge Beats Cloud
05:27 Kinara Joins NXP
06:50 What Is a DNPU
08:10 Top Edge AI Applications
08:40 Tools and Ecosystem Support
10:30 Bonus AI Tennis Referee
11:46 Key Takeaways and Next Episodes