The Motley Fool

Did Alphabet Just Say Checkmate to Micron?

Micron is a key memory supplier. Memory capacity was a bottleneck in the AI supply chain. Before Alphabet's announcement, the assumption was that memory capacity for AI computing chips would be in a ...
Digi Times

Benefits of CXL in server memory configuration

DIGITIMES believes that demand for general-purpose servers will rise in 2026, driven by three concurrent factors: the continued deepening of enterprise AI adoption, the expansion of computing ...
24/7 Wall St

Micron Slides 5% as Google’s AI Memory Algorithm Sparks Fresh Fears Across the Semiconductor Sector

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...
24/7 Wall St

Wall Street Sees Plenty of Upside in Micron Despite the Recent Dip

Micron (MU) is trading at $357.22 against a $527.60 consensus price target, a 47% gap, while 38 of 43 analysts rate the stock Buy or Strong Buy. The company is guiding to $33.5B in Q3 FY2026 revenue ...
Forbes

Google’s TurboQuant Compression Could Increase Demand For AI Memory

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...
The Verge

Google’s TurboQuant algorithm aims to slash AI memory usage.

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.” ...
EconoTimes

Google's TurboQuant Algorithm Sends Memory Chip Stocks Tumbling

Major memory chipmakers took a significant hit on Thursday after Google researchers introduced a groundbreaking compression algorithm that threatens to reduce artificial intelligence demand for memory ...
winbuzzer.com

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...