This Google AI Breakthrough Could End the Global RAM Crisis Sooner Than Expected

Google's TurboQuant algorithm can cut AI memory needs by 6x, having the potential to fix the global RAM crisis and change the ...

Google’s TurboQuant Compression Could Increase Demand For AI Memory

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

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

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
WinBuzzer

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

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

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...
Wired

Hands-On With Nano Banana 2, the Latest Version of Google’s AI Image Generator

Google just debuted Nano Banana 2, an updated version of its AI image generator. It combines the abilities of Google’s previous release, Nano Banana Pro—like text rendering and web searching—with ...
Associated Press

The top 100 photos of 2025 from The Associated Press: Images that defined the year

Years come and go, sometimes before we even realize that time has passed. Events blur and run together. The news is overwhelming, and even those who follow it closely can feel a sense of unremitting ...
marktechpost

Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...
GitHub

Orthonormal Product Quantization Network for Scalable Face Image Retrieval

Release OPQN model checkpoints trained on VGGFace2 under four code lengths of 24/36/48/64-bit in the paper. You may download them via Google Drive Link. OPQN is a ...