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 ...
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...
Magneto-resistive random access memory (MRAM) is a non-volatile memory technology that relies on the (relative) magnetization state of two ferromagnetic layers to store binary information. Throughout ...
A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...
Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...
Memory is one of a very few elite electronic components essential to any electronic system. Modern electronics perform extraordinarily complex duties that would be impossible without memory. Your ...
Overview Laptops slow down caused by accumulated junk files, background apps, and overloaded RAM, reducing efficiency and ...
Researchers from the Graz University of Technology have discovered a way to convert a limited heap vulnerability in the Linux kernel into a malicious memory writes capability to demonstrate novel ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results