Researchers at Anhui University have developed KVCB, a key-value cache merging method that compresses large language model ...

CoOpt, an algorithm-hardware co-design framework that boosts large language model inference throughput by up to 13.43 percent ...

RAM and cache memory are both fast, volatile memory technologies that play a pivotal role in computing. So what's the key difference between the two? To borrow an adage from real estate: "Location, ...

DeepSeek V4.1-Flash, released September 10, cuts AI agent KV cache memory fourfold via four architectural techniques -- CED split, CSA2, FP4 quantization, and SWA elimination -- reducing per-token ...

A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.

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 ...

The conversation surrounding AI infrastructure has correctly identified the key value (KV) cache as a critical bottleneck in scaling AI inference. As models push toward longer context windows and ...

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 ...

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 ...