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2 clusters · 2 sources · 27 days · First seen · Last updated

Everspin Technologies MRAM strategic expansions

Overview

Everspin Technologies has expanded its strategic partnerships and leadership to advance Magnetoresistive Random Access Memory (MRAM) applications across different sectors.

In August 2026, the company appointed Vikas Choudhary, a semiconductor industry veteran from MaxLinear, to its board of directors. Simultaneously, Everspin entered a memorandum of understanding with MaxLinear to collaborate on next-generation memory architectures. This partnership focuses on integrating Everspin’s persistent, low-latency MRAM with MaxLinear’s storage compression and hardware acceleration platforms to enhance the efficiency of AI servers.

By September 2026, Everspin extended its reach into the aerospace and defense industries through a partnership with Teledyne HiRel Semiconductors. This collaboration involves integrating PERSYST spin-transfer torque MRAM into Teledyne HiRel’s product lines for use in avionics, satellite electronics, radar, and autonomous systems. The technology aims to simplify system architectures by providing non-volatile memory that retains data during power losses, potentially serving as an alternative to NOR flash memory. Shipments of 256Mb products are anticipated to begin in the fourth quarter of 2026.

Entities

Everspin Technologies · Vikas Choudhary · Sanjeev Aggarwal · MaxLinear · Teledyne HiRel Semiconductors

Timeline

  1. [TECHNOLOGY] 2 sources
    Everspin and Teledyne HiRel partner for aerospace MRAM

    Everspin Technologies and Teledyne HiRel Semiconductors are partnering to provide STT-MRAM solutions for aerospace and defense applications, offering high-speed, non-volatile data retention.

  2. [TECHNOLOGY] 2 sources
    Everspin Technologies appoints Vikas Choudhary to board and partners with MaxLinear

    Everspin Technologies has appointed MaxLinear executive Vikas Choudhary to its board and entered a memorandum of understanding with MaxLinear to develop advanced MRAM memory architectures for AI servers.

Sources

ednjapan.com · electronicsweekly.com