Embedded MRAM

Renesas develops 22-nm circuit technologies for embedded STT-MRAM

Renesas announced that it has developed 22-nm embedded STT-MRAM circuit technologies. Renesas developed a test 32-megabit (Mbit) chip with an embedded MRAM memory cell array that achieves 5.9-nanosecond (ns) random read access at a maximum junction temperature of 150°C, and a write throughput of 5.8-megabyte-per-second (MB/s).

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32Mb MRAM by Renesas, macro photo

To achieve this performance, Renesas developed two technologies. The first is a fast read technology employing high-precision sense amplifier circuit, utilizing capacitive coupling. The second is a fast write technology, with simultaneous write bit number optimization and shortened mode transition time.

Read the full story Posted: Jun 18,2022

Samsung is progressing towards 14 nm eMRAM

In March 2019 Samsung Electronics announced that it has started to mass produce its first embedded MRAM devices, made using the company's 28nm FD-SOI process. In early 2021 Samsung announced that it managed to improve the MTJ function of its MRAM, which makes it suitable for more applications, and today, at the company's 5th Annual Samsung Foundry Forum, Samsung provides more details on its MRAM roadmap.

Samsung eMRAM image

Samsung says it is advancing its 14 nm process which will support flash-type embedded MRAM which enables increased write speed and density. Samsung targets applications such as micro controller units (MCUs), IoT and wearables for its next-gen eMRAM.

Read the full story Posted: Oct 08,2021

Embedded-MRAM, what the future holds

Embedded MRAM solutions are now entering the market, as leading foundries Samsung, TSMC and GlobalFoundries are scaling-up and ramping up their solutions.

Embedded MRAM market, MRAM-Info poll results 2021-09

This has been a slow process, as getting next-generation technologies into large fab is never an easy task, but we are finally seeing these foundries start to offer these technologies to their customers.

Read the full story Posted: Sep 20,2021

Researchers suggest using stochastic MRAM elements to create highly efficient AI neural network devices

Researchers from Northwestern University developed a new method of building artificial neural networks using MRAM-based stochastic computing units. The researchers say that this design could enable AI devices that are highly energy efficient.

MTJ-based stochastic computing unit structure (Northwestern University)

Embedded MRAM technologies are being adopted at major foundries, which enable the use of these technologies for unconventional computing architectures that use the stochasticity of MRAM cells (rather than their nonvolatility), to perform energy-efficient computing operations. MRAM cells exhibit stochastic switching characteristics, which is a challenge for reliable memory devices. But for neural networks, this can be taken advantage of if the MTJs are appropriately designed.

Read the full story Posted: Jul 07,2021

TSMC shows its eMRAM technology roadmap

During a presentation during Persistent Memory Summit, a new slide from TSMC was shown that describes the company's eMRAM roadmap:

TSMC memory roadmap (Persistant Mmemory Summit 2021)

As we already know, TSMC is offering 22nm eMRAM option as an eFlash alternative. The company is also looking to develop 14/12 nm eMRAM option to replace SRAM memory (this is interesting as before it was revealed that the company is developing 16nm MRAM). Finally eMRAM is touted as a possible replacement for configuration memory (eFUSE / OTP / Flash).

Read the full story Posted: May 06,2021

Everspin reported its preliminary Q4 2020 and full-year 2020 financial results

Everspin Technologies announced its preliminary Q4 2020 financial results. Total revenues were $10 million, down from $10.1 million in Q3 and up from $9.7 million in Q4 2019. Net loss int he quarter was $1.6 million, but the company generated $0.6 million in cash flow - Everspin's second consecutive positive cash flow from operations quarter.

Everspin Technologies chip photo

Looking at FY2020, Everspin's revenues increased 12.1% to $42 million. At the end of the year, Everspin had $14.6 million in cash and equivalents. In Q4 2020, the company also received its first royalty revenue from GF for embedded 22FDX process MRAM.

Read the full story Posted: Mar 01,2021

Samsung improves its MRAM performance, will expand its target applications

In March 2019 Samsung Electronics announced that it has started to mass produce its first embedded MRAM, made using the company's 28nm FD-SOI process. The company now announced that it managed to improve the MTJ function of its MRAM, which makes it suitable for more applications.

Samsung eMRAM image

Samsung will now expand the application of its eMRAM solutions to more markets - specifically the automotive, wearable, graphic memory, low level cache, internet of things and edge artificial intelligence markets.

Read the full story Posted: Feb 05,2021

IBM to reveal the world's first 14nm STT-MRAM node

IBM announced that during the 2020 IEEE International Electron Devices Meeting (IEDM 2020), that is now being held virtually, its researchers will reveal the first 14 nm node STT-MRAM. IBM says that efficient and high-performance STT-MRAM systems will help to address memory-compute bottlenecks in hybrid cloud systems.

IBM says that the 14 nm node embedded MRAM which will be revealed is the most advanced MRAM demonstrated to date. It features circuit design and process technology that could soon enable system designers to replace SRAM with twice the amount of MRAM in last-level CPU cache.

Read the full story Posted: Dec 15,2020

Everspin and Globalfoundries extend their MRAM agreement to 12 nm processes

Everspin Technologies announced that it has amended its STT-MRAM joint development agreement (JDA) with GLOBALFOUNDRIES to set the terms for a future project on an advanced 12 nm FinFET MRAM solution. Everspin agreement included 40 nm, 28 nm and 22 nm processes, and now also include 12 nm.

Everspin 1Gb STT-MRAM chip photo

GF recently announced it has achieved initial production of embedded MRAM (eMRAM) on its 22FDX platform.

Read the full story Posted: Mar 12,2020