In the intricate world of modern chip architectures, the “memory wall” – the limitations posed by external DRAM accesses on performance and power consumption growing slower than the ability to compute ...

AMD says unified memory architectures will shape future products, enabling larger AI models, better efficiency, and new ...

A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.

Transformer networks, driven by self-attention, are central to large language models. In generative transformers, self-attention uses cache memory to store token projections, avoiding recomputation at ...

Nvidia CEO Jensen Huang recently declared that artificial intelligence (AI) is in its third wave, moving from perception and generation to reasoning. With the rise of agentic AI, now powered by ...

AMD submitted a patent to the World Intellectual Property Organization (WIPO) for a groundbreaking new memory architecture that can significantly enhance the performance of the DDR5 standard. The ...

The data processing demands of the digital era have exposed limitations in conventional memory architectures. Gain cell-embedded dynamic random-access memory based on oxide semiconductors is emerging ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. AI infrastructure cannot evolve at the speed of model innovation. Processor design cycles ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Penguin Solutions' Integrated Memory segment posts 63% revenue growth as AI inference demand boosts memory needs and drives adoption of MemoryAI solutions.