The Weebit Nano Blog details the latest happenings around the company’s ReRAM/RRAM technology milestones and commercial developments
In AI inference, trained models apply their knowledge to make predictions and decisions. To achieve lower latency and better security, the world is transitioning steadily towards performing AI inference at the edge – without sending data back and forth...
Low-power design is critical, especially for chips inside battery-operated IoT devices that must support applications for several years on one battery in a very small area. Embedded non-volatile memory (NVM) for these devices must have ultra-low-power, high endurance and high...
At the recent FMS: the Future of Memory and Storage event in Santa Clara, I took part in the session on Emerging Memories, during which I shared some of the recent progress Weebit has made with various foundries towards making...
One of the biggest trends in the industry today is the shift towards AI computing at the edge. For many years the expectation was that the huge datacenters on the cloud would be the ones performing all the AI...
You might have seen the news that Weebit’s second Weebit ReRAM IP module is now available for the S130 CMOS process from SkyWater Technology. The IP is now fully qualified per JEDEC standards and is ready for mass production. We...
One of the key advantages of Weebit ReRAM (RRAM) is the technology’s ultra-low power consumption. Some of this advantage is due to the inherent features of the technology, and some of it is due to smart design. In this article...
As Weebit ReRAM continues towards production, we’ve decided now would be a good time to dig into some of the applications where we think our technology will first have an impact. One of these is power management integrated circuits (PMICs)....
At this week’s Leti Innovation Days event, Weebit is showing the first public demonstration of our ReRAM IP module. Just in case you aren’t attending the event, we’re sharing a video of the demo so you can see Weebit ReRAM...
