ModelCat Unveils eIQ Model Creator for NXP Devices
ModelCat has launched the eIQ Model Creator, a new tool designed to accelerate AI model development for NXP Semiconductors devices, announced in a press release. This collaboration aims to deliver production-ready machine learning models for NXP's i.MX applications processors, MCX microcontrollers, and i.MX RT crossover microcontroller devices in just days, significantly reducing the traditional development cycle of 12 to 24 months.
The eIQ Model Creator is part of NXP's eIQ AI Software Development Environment and enhances it by adding automated AI model creation capabilities. This tool leverages ModelCat's AI-in-the-Loop platform, which automates the entire AI model development lifecycle, allowing engineers and data scientists to produce custom, production-grade AI models without extensive in-house expertise.
The software supports a wide range of NXP devices, from small microcontrollers to advanced applications processors, enabling developers to create AI solutions that can be deployed across various NXP products without changing tools or workflows. The eIQ Model Creator is available for trial via NXP's official development kits, with full versions accessible directly from ModelCat.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Programming Weekly or Daily AI Brief.
Also, consider following us on social media:
AI Programming Weekly
Weekly news about AI tools for software engineers, AI enabled IDE's and much more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
ModelBest Releases MiniCPM5-2B Model for Edge Devices
Centric Software Unveils Centric AI for Product Decisions
ModelBest Details AI Built Training Tools for MiniCPM5 Models
Caterpillar Expands AI Use From Mining Automation to Field Service
BrainChip Launches AKD1500 PCIe Card for Edge AI Testing
Daily AI Brief: the AI news that matters, in your inbox.