The Weebit Nano Blog details the latest happenings around the company’s ReRAM/RRAM technology milestones and commercial developments
As artificial intelligence expands beyond data centers and into edge devices, autonomous systems, industrial equipment, and even spacecraft, power efficiency is becoming one of the industry’s most important challenges. While AI models continue to grow in capability, conventional computing architectures...
Artificial intelligence is moving beyond chatbots and data analytics into the physical world. A new generation of systems, often referred to as ‘physical AI,’ combines AI-driven decision making with real-world sensing and actuation. Robots, autonomous mobile systems, industrial automation...
For decades, the choice between embedded and external Non-Volatile Memory (NVM) in semiconductor designs has been straightforward. External memory, such as EEPROM, NOR Flash, or NAND Flash, offered lower cost per bit and greater flexibility, making a two-die architecture...
Artificial intelligence is driving one of the most significant architectural shifts the semiconductor industry has seen in decades. As AI workloads continue to expand away from the cloud to increasingly capable edge devices, traditional computing architectures are struggling to...
AI processing is moving to the edge for simple reasons: latency, power, bandwidth, and privacy. When the model sits in the cloud, you pay a round-trip tax for sending the data to the cloud and back. When it sits next...
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...
