MemryX Secures $44 Million in Series B Funding for Edge AI Solutions

MemryX has raised $44 million in Series B funding to advance its Edge AI semiconductor solutions, including the MX3 Accelerator chip.

MemryX has raised $44 million in Series B funding, announced in a press release. The funding will support the production of the MX3 Accelerator chip and the development of the upcoming MX4 model. The MX3 chip is noted for its high performance and low power consumption, making it suitable for applications such as AI-powered Video Management Systems and Industrial PCs.

The funding round saw participation from both new and existing investors, highlighting confidence in MemryX's technology and market potential. The company plans to showcase its solutions at ISC West 2025 in Las Vegas, where attendees can experience demonstrations of their Edge AI computing capabilities.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish like Silicon Brief.

Also, consider following us on social media:

AI Chips & Datacenters

AI Brief (X)

More from: Funding

Nominal Secures $75 Million to Revolutionize Hardware Testing

Jun 13

TELUS Proposes Full Acquisition of TELUS Digital

Jun 13

Ellipsis Health Unveils AI Care Manager Sage with $45M Funding

Jun 13

Multiverse Computing Secures $217 Million for AI Model Compression

Jun 13

RIIICO Secures $5M to Enhance AI Solutions for Factory Efficiency

Jun 12

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.