Tech Xplore on MSN

Turning PCs and mobile devices into AI infrastructure can slash operational costs

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
Electronics For You

AI Runs On Common GPUs

AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...
VentureBeat

How attention offloading reduces the costs of LLM inference at scale

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Rearranging the computations and hardware used to serve large language ...
SiliconANGLE

Nvidia claims first place in MLCommon’s first benchmarks for LLM inference, but Intel is a close second

MLCommons, the open engineering consortium for benchmarking the performance of chipsets for artificial intelligence, today unveiled the results of a new test that’s geared to determine how quickly ...
Semiconductor Engineering

Dynamic KV Cache Scheduling in Heterogeneous Memory Systems for LLM Inference (Rensselaer Polytechnic Institute, IBM)

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
EurekAlert!

Turning PC and mobile devices into AI infrastructure, reducing ChatGPT costs

Until now, AI services based on Large Language Models (LLMs) have mostly relied on expensive data center GPUs. This has ...
The Next Platform

Optimizing AI Inference Is As Vital As Building AI Training Beasts

The history of computing teaches us that software always and necessarily lags hardware, and unfortunately that lag can stretch for many years when it comes to wringing the best performance out of iron ...
TechRepublic

NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library

NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library Your email has been sent As companies like d-Matrix squeeze into the lucrative artificial intelligence market with ...
Semiconductor Engineering

HW-SW Co-Designed System With 3 Core Optimization Pathways For Long-Context Agentic LLM Inference (Cambridge, ICL)

A new technical paper titled “Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, Imperial College London ...
Computer Weekly

Snowflake goes massive on Meta LLM for open source inference difference

The latest trends and issues around the use of open source software in the enterprise. Snowflake says it will now host the Llama 3.1 collection of multilingual open source large language models (LLMs) ...