Blog
The Weebit Nano Blog details the latest happenings around the company’s ReRAM/RRAM technology milestones and commercial developments
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...
Spoiler: This is not about maintaining our position. It is about accelerating separation and building long-term leadership. Preface Weebit recently completed a capital raise of A$87M. As always, we are thinking of our existing shareholders and will give them an...
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...
When talking about memory reliability, the discussion often converges into a single question: how many errors occur over time? But that question misses something critical. In Non-volatile memory (NVM), how errors occur is just as important as how often...
In automotive electronics timing is not just a performance preference. It is a safety requirement. Advanced driver assistance systems (ADAS) such as automated braking, lane keeping and emerging autonomy features all depend on fast, precise, deterministic behavior from the...
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...
When people think of semiconductor companies, they often picture vast factories filled with billion-dollar equipment. But Weebit Nano operates in a very different way. If you’ve read our blog before, then you know that we develop Resistive RAM (ReRAM /...
Weebit has entered one of the most exciting chapters in its journey towards NVM leadership. With our ReRAM (RRAM) technology qualified and customer engagements accelerating—including with Tier-1 companies—we’re seeing clear market validation. The semiconductor industry has made its decision: ReRAM...
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...