Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...
VentureBeat

Breaking through AI’s memory wall with token warehousing

Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...
Ars Technica

Testing shows why the Steam Machine’s 8GB of graphics RAM could be a problem

But there’s one spec that has caused some concern among Ars staffers and others with their eyes on the Steam Machine: The GPU comes with just 8GB of dedicated graphics RAM, an amount that is steadily ...
Semiconductor Engineering

Memory Wall Problem Grows With LLMs

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

New memory architecture targets AI inference bottlenecks

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large ...

Meet the Kioxia GP Series SSD designed to expand GPU memory and tackle trillion-parameter AI models

Meet the Kioxia GP Series SSD designed to expand GPU memory and tackle trillion-parameter AI models ...
TechSpot

AMD could increase graphics card prices by 10% due to memory shortage crisis

Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Ripple effect: It seems fears that the global memory shortage and resulting high prices could impact ...