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 ...
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 ...
CSOonline

Securiti adds distributed LLM firewalls to secure genAI applications

To address the emerging threats around generative artificial intelligence (gen AI) systems and applications, cybersecurity provider Securiti has launched a firewall offering for large language models ...

OpenAI and Broadcom Unveil LLM-Optimized Intelligence Processor

Built from the ground up for current and future LLMs across the industryDeveloped from design to production in nine months, accelerated by ...
NextBigFuture

OpenAI Strawberry LLM Reasoning Needs More Compute and Energy for Inference

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy needed for inference that can handle the improved reasoning in the OpenAI ...
Semiconductor Engineering

Detailed Study of Performance Modeling For LLM Implementations At Scale (imec)

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...
SDxCentral

Where distributed compute creates friction and risk

You can now ask questions directly within our broadcasts using our new AskAI feature. Distributed compute is increasingly common, though not universal. Compute now spans core, regional, cloud, and ...