Morning Overview on MSN

Google unveiled TurboQuant, a method that cuts the memory bottleneck slowing large AI models

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...
Kosmo

Nota AI Wins Grand Prize at NVIDIA Nemotron Hackathon, Proving MoE Quantization Prowess with Synthetic Data Technology

Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization Built a dataset using an agent based on Nemotron 3 ...
GitHub

Near-optimal vector quantization for LLM KV cache compression.

Random rotation: Multiply the input vector by a fixed random orthogonal matrix. This makes each coordinate follow a known Beta(d/2, d/2) distribution. Lloyd-Max scalar quantization: Quantize each ...
GitHub

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Thanks to AWQ, TinyChat can deliver more efficient responses with LLM/VLM chatbots through 4-bit inference. TinyChat on RTX 4090 (3.4x faster than FP16): TinyChat on Jetson Orin (3.2x faster than FP16 ...
VentureBeat

CockroachDB’s distributed vector indexing tackles the looming AI data explosion enterprises aren’t ready for

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As the scale of enterprise AI operations ...
VentureBeat

Google expands BigQuery with Gemini, brings vector support to cloud databases

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google is adding new capabilities to its database and analytics platforms ...
IEEE

Compression of 3-D Point Visual Data Using Vector Quantization and Rate-Distortion Optimization

Abstract: In this paper, we propose adaptive and flexible quantization and compression algorithms for 3-D point data using vector quantization (VQ) and rate-distortion (R-D) optimization. The point ...
Oak Ridge National Lab

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition

SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management The increase of computer processing speed is significantly outpacing improvements in network and storage ...