DIGITIMES

Korea's 'father of HBM' sees 1,000x AI memory surge as Google's TurboQuant faces real-world tests

Alphabet's Google has unveiled its KV cache quantization compression technology, TurboQuant, promising dramatic reductions in ...
Scientific Research Publishing

Edge-Centric Generative AI: A Survey on Efficient Inference for Large Language Models in Resource-Constrained Environments ()

The deployment of Large Language Models (LLMs) on edge devices represents a paradigm shift in artificial intelligence, ...

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 ...
GitHub

NaN assertion error during quantization

I encountered a runtime error related to NaNs during quantization and would like to ask whether this is a known issue.
Forbes

How Mixed-Precision Quantization Could Break AI’s Power Addiction

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...
IEEE

Rejection-Sampled Universal Quantization for Smaller Quantization Errors

Abstract: We construct a randomized vector quantizer which has a smaller maximum error compared to all known lattice quantizers with the same entropy for dimensions 5 ...
GitHub

GPTQ block quantization error implementation

First of all, thank you very much for sharing such great code! It has been incredibly helpful in my research on quantization using NVFP4. The reason I am reaching out ...
eeworldonline

Understanding ADC specs and architectures: part 5

ENOB describes an analog-to-digital converter’s performance with respect to total noise and distortion. In the earlier parts of this series on analog-to-digital converters (ADCs), we looked at the ...