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

Running a large language model is expensive, and a surprising amount of that cost comes down to memory, not computation.

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 Google Play Store is home to all sorts of fancy apps and games. Need to seamlessly transfer files from your phone to your laptop wirelessly? You can use Pushbullet for that. Want an app to manage ...

Adaptec has announced a RAID controller series that uses NAND and Supercapacitors to protect data in cache in case of failure. Will Adaptec stand alone? John, a senior partner at Evaluator Group, has ...

TurboQuant breakthrough: Google's TurboQuant compresses LLM KV-cache up to 6x without quality loss, freeing GPU memory and boosting inference speed. Hybrid attention savings: DeltaNet-style ...

Advanced Micro Devices will use cache memory in somewhat novel ways to broaden out its desktop chip line, including its upcoming Athlon64 processor, according to sources. The Sunnyvale, Calif.-based ...

Learn how to use in-memory caching, distributed caching, hybrid caching, response caching, or output caching in ASP.NET Core to boost the performance and scalability of your minimal API applications.

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 ...

Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...