3 weeks ago
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If Google’s AI researchers had a consciousness of humor, they would person called TurboQuant, the new, ultra-efficient AI representation compression algorithm announced Tuesday, “Pied Piper” — or, astatine least that’s what the internet thinks.
The gag is simply a notation to the fictional startup Pied Piper that was the absorption of HBO’s “Silicon Valley” TV bid that ran from 2014 to 2019.
The amusement followed the startup’s founders arsenic they navigated the tech ecosystem, facing challenges similar contention from larger companies, fundraising, exertion and merchandise issues, and adjacent (much to our delight) wowing the judges astatine a fictional mentation of TechCrunch Disrupt.
Pied Piper’s breakthrough exertion connected the TV amusement was a compression algorithm that greatly reduced record sizes with near-lossless compression. Google Research’s caller TurboQuant, is besides astir utmost compression without prime loss, but applied to a halfway bottleneck successful AI systems. Hence, the comparisons.
Google Research described the technology arsenic a caller mode to shrink AI’s moving representation without impacting performance. The compression method, which uses a signifier of vector quantization to wide cache bottlenecks successful AI processing, would fundamentally let AI to retrieve much accusation portion taking up little abstraction and maintaining accuracy, according to the researchers.
They program to contiguous their findings astatine the ICLR 2026 league adjacent month, on with the 2 methods that are making this compression possible: the quantization method PolarQuant and a grooming and optimization method called QJL.
Understanding the mathematics progressive present is thing researchers and machine scientists whitethorn beryllium capable to do, but the results are breathtaking the wider tech manufacture arsenic a whole.
If successfully implemented successful the existent world, TurboQuant could marque AI cheaper to tally by reducing its runtime “working memory” — known arsenic the KV cache — by “at slightest 6x.”
Some, similar Cloudflare CEO Matthew Prince, are even calling this Google’s DeepSeek moment — a notation to the efficiency gains driven by the Chinese AI model, which was trained astatine a fraction of the outgo of its rivals connected worse chips, portion remaining competitory connected its results.
Still, it’s worthy noting that TurboQuant hasn’t yet been deployed broadly; it’s inactive a laboratory breakthrough astatine this time.
That makes comparisons with thing similar DeepSeek, oregon adjacent the fictional Pied Piper, much difficult. On TV, Pied Piper’s exertion was going to radically alteration the rules of computing. TurboQuant, meanwhile, could pb to ratio gains and systems that necessitate little representation during inference. But it wouldn’t needfully lick the wider RAM shortages driven by AI, fixed that it lone targets inference memory, not grooming — the second of which continues to necessitate monolithic amounts of RAM.
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