DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Semiconductor Engineering

Optimizing LLM Training Under GPU Memory Constraints (Argonne, RIT)

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...
The Next Platform

Nvidia Gooses Grace-Hopper GPU Memory, Gangs Them Up For LLM

If large language models are the foundation of a new programming model, as Nvidia and many others believe it is, then the hybrid CPU-GPU compute engine is the new general purpose computing platform.
Semiconductor Engineering

Pooling CPU Memory for LLM Inference With Lower Latency and Higher Throughput (UC Berkeley)

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...
CRN

Nvidia Says New Software Will Double LLM Inference Speed On H100 GPU

The AI chip giant says the open-source software library, TensorRT-LLM, will double the H100’s performance for running inference on leading large language models when it comes out next month. Nvidia ...
Geeky Gadgets

GPU-Accelerated LLMs : Deploying A GPU-Powered AI Model on Cloud Run

What if you could deploy a innovative language model capable of real-time responses, all while keeping costs low and scalability high? The rise of GPU-powered large language models (LLMs) has ...
InfoWorld

Unlocking LLM superpowers: How PagedAttention helps the memory maze

Large language models (LLMs) like GPT and PaLM are transforming how we work and interact, powering everything from programming assistants to universal chatbots. But here’s the catch: running these ...
Wired

A Flaw in Millions of Apple, AMD, and Qualcomm GPUs Could Expose AI Data

As more companies ramp up development of artificial intelligence systems, they are increasingly turning to graphics processing unit (GPU) chips for the computing power they need to run large language ...