A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

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

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

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

Google and Apple are battling for AI dominance as Gemini expands and Siri opens up. A new breakthrough could make AI faster ...

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

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

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

env zero, a leader in Infrastructure as Code (IaC) management and governance, and CloudQuery, a leading cloud asset management platform, announced the successful close of their merger—with the ...

So many cool Fabric features get announced at Fabcon that it’s easy to miss some of them. The fact that you can now not only generate Excel files from Fabric Dataflows Gen2, but that you have so much ...