The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
Business Wire

Enfabrica Unveils Industry’s First Ethernet-Based AI Memory Fabric System for Efficient Superscaling of LLM Inference

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and accelerated computing, today announced the ...
VentureBeat

Chain-of-experts (CoE): A lower-cost LLM framework that increases efficiency and accuracy

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Enterprises increasingly rely on large ...
Computer Weekly

Red Hat launches llm-d community & project

The latest trends and issues around the use of open source software in the enterprise. Red Hat has announced the launch of llm-d, a new open source project designed to address generative AI’s future ...
Network World

OpenAI tests Google TPUs amid rising inference cost concerns

Although OpenAI says that it doesn’t plan to use Google TPUs for now, the tests themselves signal concerns about inference costs. OpenAI has begun testing Google’s Tensor Processing Units (TPUs), a ...
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 ...
Semiconductor Engineering

LLM Inference: Core Bottlenecks Imposed By Memory, Compute Capacity, Synchronization Overheads (NVIDIA)

A new technical paper titled “Efficient LLM Inference: Bandwidth, Compute, Synchronization, and Capacity are all you need” was published by NVIDIA. “This paper presents a limit study of ...