Semidynamics Secures a Strategic Investment to Advance Memory-Centric AI Inference Chips

Headquartered in Barcelona, Semidynamics is an advanced computing company developing memory-centric AI infrastructure. With a team of more than 150 engineers and specialists, the company designs ...
Semiconductor Engineering

Optimizing In-Memory AI Accelerators Across Multiple Workloads (KAUST, Compumacy)

Researchers from KAUST and Compumacy for Artificial Intelligence Solutions have released “Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators”. “Software-hardware co-design is ...

Why Google’s TurboQuant Algorithm is Disrupting the AI Memory Chip Market

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
Semiconductor Engineering

Optimizing LLM Training Under GPU Memory Constraints (Argonne, RIT)

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...
XDA Developers on MSN

Stop obsessing over your GPU's core clock — memory clock matters more for local LLM inference

Your self-hosted LLMs care more about your memory performance ...
The Brown Daily Herald

Optimizing the mind: Brown researchers develop neural model to understand working memory

When you try to solve a math problem in your head or remember the things on your grocery list, you’re engaging in a complex neural balancing act — a process that, according to a new study by Brown ...