November 2023

Israel-based RRAM developer Weebit Nano announced that it has received the first wafers integrating its
embedded RRAM memory manufactured in GlobalFoundries’ 22FDX platform. Initial tests of the wafers in this advanced 22nm FD-SOI (fully depleted silicon on insulator) are showing positive results on the array.

Weebit says that these are the first wafers with Weebit ReRAM manufactured in 22nm, one of the industry’s most
steadfast process nodes, and a geometry where embedded flash is not viable. 

Infineon Technologies has unveiled a new family of microcontrollers in its PSoC portfolio of Arm Cortex-based high-performance, low-power, secured devices, the PSoC Edge, designed for next generation responsive compute and control applications.

The new PSoC Edge family features hardware-assisted machine learning (ML) and are based on Arm Cortex-M55, including Helium DSP support paired with Arm Ethos-U55 and Cortex-M33 paired with Infineon’s ultra-low power NNLite  hardware accelerator. The family of devices also come with extended on-chip memories, including non-volatile RRAM, as well as high speed, secured external memory support.

Israel-based RRAM developer Weebit Nano announced that it has received its first IP licensing revenue for its embedded ReRAM technology.

This initial licensing fee is $100,000. Weebit’s plan is to generate revenues from foundries and product companies in three main ways: licensing fees for design and manufacture; engineering fees for designs and processes; and royalties for use by customers, which will be received once customers begin shipping end products.

UK-based RRAM developer Intrinsic Semiconductor Technologies (Intrinsic) announced a collaboration with sureCore, to accelerate the time to market for its RRAM technology. Intrinsic says that its technology will assist SoC developers looking for embedded memory solutions in 22 nm or smaller nodes. 

sureCore will add Intrinsic's MRAM technology into its SureFIT Custom Design Service. Intrinsic says that both microcontrollers and evolving AI architectures using Intrinsic RRAM will deliver higher performance at lower power envelopes than those realized using off-chip flash.