Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

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

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

Meanwhile, the company is also at the forefront of custom AI chips with its tensor processing units (TPUs). It developed ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google announced TurboQuant, a memory compression tool that shrinks the memory required to run an AI model by a significant ...

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

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

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

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 ...