Cache memory significantly reduces time and power consumption for memory access in systems-on-chip. Technologies like AMBA protocols facilitate cache coherence and efficient data management across CPU ...

Gain insight into the CXL specification. Learn how CXL supports dynamic multiplexing between a rich set of protocols that includes I/O (CLX.io, based on PCIe), caching (CXL.cache), and memory (CXL.mem ...

As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

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 ...

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 ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...

A disk or memory cache that supports writing. Data normally written to memory or to disk by the CPU is first written into the cache. During idle machine cycles, the data are written from the cache ...

Many people have heard the term cache coherency without fully understanding the considerations in the context of system-on-chip (SoC) devices, especially those using a network-on-chip (NoC). To ...

Tesla indicated in August, 2023 they were activating 10,000 Nvidia H100 cluster and over 200 Petabytes of hot cache (NVMe) storage. This memory is used to train the FSD AI on the massive amount of ...