Silicon Valley startup d-Matrix, which is backed by Microsoft, has developed a chiplet-based solution designed for fast, ...

First off, he had already made things difficult for himself by choosing DRAM rather than the simpler SRAM. Whereas SRAM chips can be more or less directly hooked up to the CPU’s address and data ...

The development of more energy-efficient hardware for artificial intelligence (AI) systems is receiving increased support, with a focus on improving memory technology. A hybrid type of memory that ...

This technology is known as hybrid gain cell memory (Blocks and Files reports), which combines features from SRAM and DRAM to ...

Numem will be at the upcoming Chiplet Summit to showcase its high-performance solutions. By accelerating the delivery of data ...

Since SRAMs don’t have a DRAM-style refresh cycle, this type of circuit modification isn’t really possible for them, so that performing bit-flipping in an SRAM would require the addition of DRAM-style ...

Static RAM (SRAM) is a type of RAM that uses bistable latching circuitry to store each bit. It is faster and more expensive than dynamic RAM (DRAM) and is often used in smaller quantities, such as in ...

The rapid growth of AI workloads and AI Processor/GPUs are exacerbating the memory bottleneck caused by the slowing ...

Global Parallel Sram Market Research Report: By Application ,Memory Density ,Interface Standard ,Access Mode ,Package Type ,Regional ...

“AI chips commonly employ SRAM memory as buffers for their reliability and speed, which contribute to high performance. However, SRAM is expensive and demands significant area and energy consumption.

We had the opportunity to have an interactive interview session with Sanjeev Aggarwal, the CEO of Everspin Technologies, who ...

This latest package release provides a complete and an accurate solution for simulating memories, including support for most of the memory technologies, including DRAM, SRAM, Flash, and Card memories, ...