Tether releases TurboQuant AI memory algorithm for efficient local use, enhancing device capability beyond large data centers ...

Running a large language model is expensive, and a surprising amount of that cost comes down to memory, not computation. Every time a model like Gemini or GPT-4 processes a long document or sustains a ...

VerTQ is an accelerator chip that implements Google's TurboQuant algorithm which reduces KV cache memory usage of Large ...

On March 25, 2026, Google Research published a paper on a new compression algorithm called TurboQuant. Within hours, memory stocks were tanking. Cloudflare (NET) CEO Matthew Prince called it “Google’s ...

AI models are used to store long conversations and process extended inputs to perform complex tasks. Behind the scenes, enormous volumes of memory and storage sit atop the GPUs actually processing ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

Google Research released TurboQuant, a training-free compression algorithm that can compress the KV cache of large language models (LLM) to 3 bits without affecting model accuracy,... Google Research ...

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At its core, the TurboQuant algorithm minimizes the space required to store memory while also preserving model accuracy. To the casual observer, TurboQuant looks like a software shortcut that allows ...