[Explanation] BOOST: Accelerating LLM Inference with Host Memory and HBM

A research team from Georgia Tech and Nvidia has developed "BOOST," an integrated system that significantly accelerates large ...

No Priors Explanation: Diffusion Inference Revolutionizes LLMs (Guest: Stefano Ermon)

OverviewIn this episode of "No Priors," a podcast where investors Sarah Guo and Elad Gil interview AI researchers and ...
Semiconductor Engineering

A Comprehensive Guide to Understanding AI Inference on the CPU

As AI continues to revolutionize industries, new workloads, like generative AI, inspire new use cases, the demand for efficient and scalable AI-based solutions has never been greater. While training ...
ucdavis.edu

Understanding Learning by Inference

Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...
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 ...
VentureBeat

Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...
Forbes

Nvidia And d-Matrix Announce Collaboration Roadmap For Fast Inference

Forbes contributors publish independent expert analyses and insights. Founder and Principal Analyst, Cambrian-AI Research LLC This voice experience is generated by AI. Learn more. This voice ...