Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

On March 25, 2026, Google Research published a paper on a new compression algorithm called TurboQuant. Within hours, memory ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

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 ...

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

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

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 ...

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 ...