TSMC announced, during the company's virtual European technology symposium, that it is developing MRAM technologies for its 16nm FinFET platform. The company expects to offer flash-like configuration risk production starting in 4Q21 and RAM-like risk production scheduled for 4Q22.
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.
GF recently announced it has achieved initial production of embedded MRAM (eMRAM) on its 22FDX platform.
GlobalFoundries announced that it has delivered the first production-ready eMRAM on its 22FDX platform for IoT and automotive applications. The company says that its advanced eMRAM provides a "cost-effective solution for low-power, non-volatile code and data storage applications".
GF says that it has entered production and is working with several clients with multiple production tape-outs scheduled in 2020. GF's eMRAM is designed as a replacement for high-volume embedded NOR flash (eFLASH). GF says that its eMRAM has passed five rigorous real-world solder reflow tests, and has demonstrated 100,000-cycle endurance and 10-year data retention across the -40°C to 125°C temperature range. The FDX eMRAM solution supports AEC-Q100 quality grade 2 designs, with development in process to support an AEC-Q100 quality grade 1 solution next year.
Mentor announced that it will provide a unique IC test solution for the Arm's eMRAM compiler IP which is built on Samsung Foundry’s 28nm FDSOI process technology.
Mentor says it is working with Arm to leverage industry-leading Tessent software Built-In Self-Test (BIST) Design-for-Testability (DFT) technologies for testing the next-generation of Arm's eMRAM compiler IP in development.
Samsung announced that it has started to mass produce its first embedded MRAM, made using the company's 28nm FD-SOI process. Samsung says that its eMRAM memory module offers higher performance and endurance when compared to eFlash, and can be integrated into existing chips.
Samsung details that its eMRAM is 1,000 times faster than its eFlash memory, and it does not require an erase cycle before writing data (unlike Flash memory). The voltage used is also lower - and in total eMRAM consumes 1/400 the energy compared to eFlash for the writing process. Samsung's MRAM capacity, though, is lower than its 3D Xpoint, DRAM and NAND flash.
In October 2018 Intel revealed that it is developing embedded MRAM - and that the company has successfully integrated embedded MRAM into its 22nm FinFET CMOS technology on full 300mm wafers.
Now Intel gave more details on its embedded STT-MRAM, and said that the technology is ready for high-volume manufacturing. Intel said it has used a "write-verify-write" scheme and a two-stage current sensing technique to create 7Mb perpendicular STT-MRAM arrays in its 22FFL FinFET process.
In June 2017 it was reported that Taiwan Semiconductor Manufacturing Company (TSMC) will start producing embedded MRAM in 2018 using a 22 nm process. In what may bet he first adoption of TSMC's eMRAM technology, AI accelerator startup Gyrfalcon Technology announced the commercial availability of its LightSpeeur 2802M, AI ASIC that include TSMC's eMRAM.
The 2802M ASIC has 40MB of eMRAM memory, which can support large AI models or multiple AI models within a single chip. Applications include image classification, voice identification, voice commands, facial recognition, pattern recognition and more.
Market analyst firm Yole Developpement presents its latest next-generation memory forecasts in an interesting new article. The company says that following more than 15 years of development, PCM is finally taking off in stand-alone applications due to strong support from Intel and Micron.
STT-MRAM is expected to lead the embedded memory race as many foundries are rushing to add MRAM support and expertise to their product lines. STT-MRAM is promising for enterprise storage SCM.
Spin Memory (previously Spin Transfer Technologies) announced that is has signed a licensing agreement with Arm. The license includes Spin Memory's Endurance Engine technology and IP - and as part of the agreement Arm and Spin memory will also work together to create SRAM-class MRAM design solutions.
Spin Memory's Endurance Engine is a design architecture that is used to develop embedded MRAM solutions.
Synopsys announced that it is set to add support for embedded MRAM designs to its DesignWare STAR Memory System solution. The new solution will offer new eMRAM memory built-in self-test (BIST), repair, and diagnostic capabilities, initially for GlobalFoundries eMRAM on its 22FDX process.
The STAR Memory System's new algorithms target failure mechanisms of embedded MRAM and other types of non-volatile memories during production and in-field test. Support for multiple background patterns and complex addressing modes accelerates automated test equipment (ATE) vector generation, resulting in the highest test coverage for eMRAM, maximized manufacturing yield, and improved system-on-chip (SoC) reliability.