The Weebit Nano Blog details the latest happenings around the company’s ReRAM/RRAM technology milestones and commercial developments
Memory Made Smarter: Weebit Nano’s Role in the AI Hardware Revolution Artificial intelligence is transforming nearly every industry, from autonomous driving to healthcare to connected devices. But as AI models grow more complex, the biggest barrier to progress is no...
AI training happens in the cloud because it’s compute-intensive and highly parallel. It requires massive datasets, specialized hardware, and weeks of runtime. Inference, by contrast, is the deployment phase — smaller, faster, and often done at the edge, in real...
Resistive RAM (ReRAM or RRAM) is the strongest candidate for next-generation non-volatile memory (NVM), combining fast switching speeds with low power consumption. New techniques for managing a memory phenomenon called ‘relaxation’ are making ReRAM more predictable — and easier to...
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...
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...
In the last 60 years technology has evolved at such an exponentially fast rate that we are now regularly conversing with AI based chatbots, and that same OpenAI technology has been put into a humanoid robot. It’s truly amazing to...
One of the most exciting things about the future of computing is the ability to process data inside of the memory. This is especially true since the industry has reached the end of Moore’s Law, and scientists and engineers are...
A paper from Weebit and our partners at CEA-Leti and the Nano-Electronic Device Lab (NEDL) at Politecnico di Milano was recently published in the prestigious journal Nature Communications. It details how bio-inspired systems can learn using ReRAM (RRAM) technology in...
We recently collaborated with our friends at IIT-Delhi, led by Prof. Manan Suri, on a research project demonstrating an efficient ReRAM based in-memory computing (IMC) capability for a similarity search application. The demonstration was done on 28nm ReRAM technology developed...
