The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

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

All you had to do was pay attention to the polar coordinates lecture in [trigonometry], and you could have discovered a 6x ...

Turns out massive caches are good for more than games. House of Zen boasts 5-13% perf boost over prior-gen part ...

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

Sandisk Corp.’s NAND thesis stays strong. Learn why the SNDK stock dip may be headline-driven and why it could retest highs.

As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

There's an exciting new graphics card memory technology on the horizon that could see huge gains in one of the most important aspects of GPUs: memory bandwidth. The new GPU SCM with DRAM tech can ...

Alibaba has introduced the XuanTie C950, a high-performance 64-bit RISC-V processor core designed for demanding workloads ...