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 ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

Nvidia’s Vera Rubin is months away — Blackwell is getting faster right now

Nvidia has been able to increase Blackwell GPU performance by up to 2.8x per GPU in a period of just three short months.
Business Wire

Phison Expands aiDAPTIV+ GPU Memory Extension Capabilities for Additional Platforms to Enable LLM Training and Improve Inferencing On-Premises

SAN JOSE, Calif.--(BUSINESS WIRE)--NVIDIA GTC – Phison Electronics (8299TT), a leading innovator in NAND flash technologies, today announced an array of expanded capabilities on aiDAPTIV+, the ...
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 ...
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.
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 ...
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 ...