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 inference economic viability ...
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 ...
dbta

Snowflake Cortex AI Now Supports Llama 3.1, Debuting Massive LLM Inference and Fine-Tuning System Stack

Snowflake, the AI Data Cloud company, is announcing that it will host Meta’s Llama 3.1—a collection of multilingual open source large language models (LLMs)—in Snowflake Cortex AI, the solution ...
SDxCentral

Nvidia flexes MLPerf muscles, H200 GPU breaks genAI performance records

Enterprise IT teams looking to deploy large language model (LLM) and build artificial intelligence (AI) applications in real-time run into major challenges. AI inferencing is a balancing act between ...
Semiconductor Engineering

LLM Inference on GPUs (Intel)

“Transformer based Large Language Models (LLMs) have been widely used in many fields, and the efficiency of LLM inference becomes hot topic in real applications. However, LLMs are usually ...
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 ...
NextBigFuture

Defeating Nondeterminism in LLM Inference by Thinking Machines

A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing issue in large language models (LLMs). Even with greedy decoding bu setting ...
The Next Platform

Finding NeMo Features for Fresh LLM Building Boost

This week Nvidia shared details about upcoming updates to its platform for building, tuning, and deploying generative AI models. The framework, called NeMo (not to be confused with Nvidia’s ...
Business Wire

ASC24 Finals Set for April in Shanghai: Focus on Cutting-Edge Large Language Model Inference and Seepage Simulation!

BEIJING--(BUSINESS WIRE)--On January 4th, the inaugural ceremony for the 2024 ASC Student Supercomputer Challenge (ASC24) unfolded in Beijing. With a global interest, ASC24 has garnered the ...