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 ...

TurboQuant vector quantization targets KV cache bloat, aiming to cut LLM memory use by 6x while preserving benchmark accuracy ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...

The authors report on the design of efficient cache controller suitable for use in FPGA-based processors. Semiconductor memory which can operate at speeds comparable with the operation of the ...

Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...

Let the era of 3D V-Cache in HPC begin. Inspired by the idea of AMD’s “Milan-X” Epyc 7003 processors with their 3D V-Cache stacked L3 cache memory and then propelled by actual benchmark tests pitting ...

How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...

AMD is leveraging one of its latest families of EPYC server CPUs, code-named Genoa X, in-house to run the electronic design automation (EDA) tools it uses for product development. Based on TSMC's 5-nm ...