Weebit Nano, a provider of advanced non-volatile memory (NVM) IP, will be exhibiting at the Design Automation Conference (DAC) this month. As part of this briefing I shared some of the basic the details with ChatGPT to see how it would phrase things. Here is some of what it suggested: “You won’t want to miss out on the epic experience… Read More
Tag: reram
Podcast EP164: How Weebit Nano is Disrupting the Memory Market with Coby Hanoch
Dan is joined by Coby Hanoch, Coby joined Weebit Nano as CEO in 2017. He has 15 years of experience in engineering and engineering management roles, and 28 years of experience in sales management and executive roles.
Coby explains the unique features of Weebit Nano’s non-volatile ReRAM technology. He explores the technology’s… Read More
How an Embedded Non-Volatile Memory Can Be a Differentiator
Embedded memory makes computing applications run faster. In the early days of the semiconductor industry, the desire to utilize large amount of on-chip memory was limited by cost, manufacturing difficulties and technology mismatches between logic and memory circuit implementations. Since then, advancements in semiconductor… Read More
Flash Memory Summit Conference
Why Attend Flash Memory Summit?
FMS is the best networking opportunity in the storage industry!
The 2022 conference is expanding beyond flash memory to address all forms of high performance memory. Summit organizers welcome your submissions on a range of memory technologies including NAND Flash, DRAM, MRAM, ReRAM, and DNA storage.… Read More
3rd Party Semiconductor Intellectual Property Market Update
The 3rd Party Semiconductor Intellectual Property (IP) market has seen great innovation in the products it offers to System-on-a-Chip (SoC) designers over the last ten years. If any market segment in the semiconductor industry typifies the intense evolutionary pressures that the entire electronics market has undergone, … Read More
Upcoming Webinar on Resistive RAM (ReRAM) Technology
On-chip memory (embedded memory) makes computing applications run faster. In the early days of the semiconductor industry, the desire to utilize large amount of on-chip memory was limited by cost, manufacturing difficulties and technology mismatches between logic and memory circuit implementations. Since then, advancements… Read More
Resistive RAM (ReRAM) Computing-in-Memory IP Macro for Machine Learning
The term von Neumann bottleneck is used to denote the issue with the efficiency of the architecture that separates computational resources from data memory. The transfer of data from memory to the CPU contributes substantially to the latency, and dissipates a significant percentage of the overall energy associated with … Read More
Features of Resistive RAM Compute-in-Memory Macros
Resistive RAM (ReRAM) technology has emerged as an attractive alternative to embedded flash memory storage at advanced nodes. Indeed, multiple foundries are offering ReRAM IP arrays at 40nm nodes, and below.
ReRAM has very attractive characteristics, with one significant limitation:
- nonvolatile
- long retention time
- extremely
In-Memory Computing for Low-Power Neural Network Inference
“AI is the new electricity.”, according to Andrew Ng, Professor at Stanford University. The potential applications for machine learning classification are vast. Yet, current ML inference techniques are limited by the high power dissipation associated with traditional architectures. The figure below highlights the … Read More
Advanced CMOS Technology 2020 (The 10/7/5 NM Nodes)
Our friends at Threshold Systems have a new class that may be of interest to you. It’s an updated version of the Advanced CMOS Technology class held last May. As part of the previous class we did a five part series on The Evolution of the Extension Implant which you can see on the Threshold Systems SemiWiki landing page HERE. And… Read More