MemVerge’s software defined memory management product transparently enables memory tiering for memory-intensive applications taking advantage of CXL protocol for the memory innovation needed for ...

Despite the global semiconductor market currently being affected by exchange rates, inflation, and US tariff policies, there are no clear signs of recovery in the end-user market. However, in the ...

Android has been adding support for a 16 KB page size that will boost performance, and Google is introducing a requirement for apps in Play ...

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory.

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was published by researchers at KAIST and Stanford University. Abstract “A large ...

Learn about the architecture and optimization of AI memory systems in LLMs, driving smarter, more efficient AI interactions and applications.

Understanding Linux memory management—page tables, swapping, and memory allocation—enables system administrators and developers to optimize performance and troubleshoot issues effectively. With tools ...

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

A new technical paper titled “MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads” was published by researchers at Illinois Institute of Technology. “In this work, ...

Explore strategies for optimizing AI memory and context usage to improve model interactions. Learn about the role of RAG in boosting AI model ...