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 ...
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 ...
NextBigFuture

Distributed AI Inference Will Capture Most of the LLM Value

Using the AIs will be way more valuable than AI training. AI training – feed large amounts of data into a learning algorithm to produce a model that can make predictions. AI Training is how we make ...
ExtremeTech

Nvidia Claims to Double LLM Inference Performance on H100 With New Software

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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 ...

Poetiq nabs $45.8M in seed funding for its LLM-enhancing ‘meta-system’

Poetiq was launched last year by former Google DeepMind researchers Shumeet Baluja and Ian Fischer. Baluja established the Alphabet unit’s computer vision group, while Fischer helped develop some of ...
Business Wire

Red Hat Launches the llm-d Community, Powering Distributed Gen AI Inference at Scale

Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...
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

HW-based Heterogeneous Memory Management for LLM Inferencing (KAIST, Stanford Unversity)

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was published by researchers at KAIST and Stanford University. “A large language model ...