SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.

Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...

With TurboQuant, Google promises 'massive compression for large language models.' ...

What is Google TurboQuant, how does it work, what results has it delivered, and why does it matter? A deep look at TurboQuant, PolarQuant, QJL, KV cache compression, and AI performance.

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...

Two broad categories of compression are currently in use. In lossy compression, data is intentionally discarded. As a result, the decompression of the data doesn't exactly match the original data.