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

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

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

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

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

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

Google Unveils TurboQuant Compression Algorithm Recently, Google introduced a new compression algorithm known as TurboQuant.

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

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

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Google released its TurboQuant AI memory compression algorithm, which is designed to reduce the memory requirements of large ...