ReRAM for Energy-Efficient FD-SOI: From Embedded Memory to Edge AI and In-Memory Computing
Exploring how ReRAM complements FD-SOI to enable energy-efficient, highly integrated SoCs FD-SOI process technology is designed to deliver high performance with low power consumption, making it well suited to energy-efficient, highly integrated SoCs. This presentation from the 11th Shanghai FD-SOI Forum explores how ReRAM complements FD-SOI as a low-power, scalable embedded non-volatile memory. It looks […]
In-Memory Compute at Scale: Trends, Challenges & the ReRAM Advantage
Examining trends driving IMC adoption, the technical requirements for commercially viable solutions, and why ReRAM presents a practical path from research prototypes to production-ready AI systems This talk discusses why emerging non-volatile memories, particularly ReRAM, offer a structurally and physically well-suited platform for analog and mixed-signal in-memory computation. It also examines market and architectural trends […]
ReRAM after Qualification: Entering NPI and Production Ramp Era
How post-qualification ReRAM programs are enabling integration into advanced logic and BCD platforms and supporting new MCU, analog, and edge AI designs where embedded flash no longer scales Amir Regev, Weebit’s VP Quality and Reliability, discusses the transition of Weebit ReRAM from feasibility to commercialization, demonstrating that embedded ReRAM (RRAM) is no longer a laboratory […]
ReRAM Gets Real: From Concept to Market
An overview of ReRAM’s evolution toward commercialization, key technology advances, and expanding potential in embedded memory, edge AI and in-memory computing Weebit’s Chief Scientific Officer Gabriel Molas explores ReRAM’s evolution from emerging technology to market-ready embedded memory, including technical advances improving reliability and scalability, and the growing role of ReRAM in edge AI, in-memory computing […]
The End of Flash? Why ReRAM Is Taking Over the Edge?
Exploring the various embedded NVM technologies that are emerging as embedded flash reaches its limits Weebit’s VP of Marketing and Business Development, Eran Briman discusses the various embedded NVM technologies that are emerging as embedded flash reaches its limits. With a focus on automotive and edge AI, he explains why ReRAM is the NVM of […]
NVM for the AI Era
Exploring how evolving AI workloads are driving new requirements for embedded memory technologies Weebit CEO Coby Hanoch discusses how advanced NVM technologies are becoming increasingly important system enablers as evolving AI workloads drive new requirements for embedded memory.
What is the endurance you can achieve with Weebit ReRAM?
Endurance is where many NVM technologies fail under real-world conditions. Eran Briman, VP Marketing & Business Development at Weebit Nano, talks about ReRAM endurance and performance across operating lifetimes.
How do customers integrate Weebit ReRAM?
Eran Briman, VP Marketing & Business Development at Weebit Nano, covers the practicalities of integrating ReRAM into target processes at foundries and IDMs, and why ReRAM’s ease of integration is a key advantage.
How can Weebit ReRAM reduce datacenter power consumption?
Power management IC (PMIC) designs need NVM that handles frequent configuration writes over extended lifetimes, often at elevated temperatures. Eran Briman, VP Marketing & Business Development at Weebit Nano, explains why ReRAM’s endurance and temperature resilience make it well suited to PMICs.
Why are customers choosing Weebit ReRAM as their next NVM?
Eran Briman, VP Marketing & Business Development at Weebit Nano, explains why ReRAM technology has a genuine advantage compared to other emerging non-volatile memory (NVM) technologies, and where ReRAM wins on the criteria that matter most.
How is Weebit ReRAM enabling IMC and Neuromorphic computing?
ReRAM is a natural fit for in-memory computing (IMC) and neuromorphic architectures. Eran Briman, VP Marketing & Business Development at Weebit Nano, covers ReRAM’s role in matrix-vector multiplication operations and as an analog-friendly substrate for neuromorphic weight storage.
Which NVM is best for Edge AI?
Edge AI is as much a memory problem as a compute problem. Eran Briman, VP Marketing & Business Development at Weebit Nano, examines ReRAM’s role in AI inference at the edge.