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

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab ...

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Serving Large Language Models (LLMs) at scale is a massive engineering challenge because of Key-Value (KV) cache management. As models grow in size and reasoning capability, the KV cache footprint ...

PDF readers and open-source libraries used in document processing will all need updating to handle the Brotli compression filter. Brotli is one of the most widely used but least-known compression ...

Abstract: Communication bottlenecks and the presence of stragglers pose significant challenges in distributed learning (DL). To deal with these challenges, recent advances leverage unbiased ...

Abstract: The compression of encoded sources in a large multimodal model (LMM) can be theoretically analyzed within Wyner-Ziv coding to limit communication overhead, as the incorporation of ...