An overview of the MRDIMM technology as a solution to memory bandwidth and capacity challenges.

The global automotive memory chip market is set to surge from USD 4.3 billion in 2023 to over USD 17 billion by 2030, driven by an increasing need for advanced models in autonomous vehicles. The rise ...

The rise in automotive memory demand is driven primarily by Large Language Models (LLMs) and foundation models, transitioning from compact 10-million-parameter CNN models to vastly larger ones ...

One key innovation in this memory architecture is high-bandwidth memory (HBM), which stacks multiple die together to increase storage capacity and connects these devices to processing engines ...

After AMD CEO Lisa Su said on Thursday that OpenAI is a customer and “early design partner” for its upcoming Instinct MI450 GPU, Sam Altman joined her on stage at the company’s Advancing AI ...

In this work, a heterogeneous integration strategy of 3D NAND based compute-in-memory (CIM) architecture is proposed for large-scale deep neural networks (DNNs). While most of the reported CIM ...

Task Objective: This project demonstrates the creation of a relational database schema for a Library Management System using SQLiteStudio.