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 ...

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 ...

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 ...

Note: The following post is a guest blog submitted to Microsoft Subnet by a security expert who wished to remain anonymous. Joanna Rutkowska recently released her new security whitepaper and exploit ...

Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and faster real-time AI inference.

Recent industry trends, including the release of NVIDIA’s Rubin platform (developer.nvidia.com), point to a growing consensus that AI inference is reshaping data center architecture in a fundamental ...

In a computer, the entire memory can be separated into different levels based on access time and capacity. Figure 1 shows different levels in the memory hierarchy. Smaller and faster memories are kept ...