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 ...

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 ...

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 ...

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 ...

A CPU relies on various kinds of storage to optimally run programs and power a computer. These include components like hard disks and SSDs for long-term storage, RAM and GPU memory for fast, temporary ...