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 Insider

Pliops Announces Collaboration with vLLM Production Stack to Enhance LLM Inference Performance

SANTA CLARA, Calif., March 12, 2025 (GLOBE NEWSWIRE) -- Pliops, a leader in storage and accelerator solutions, today announced a strategic collaboration with the vLLM Production Stack developed by ...

Inferact launches with $150M in funding to commercialize vLLM

Inferact’s founding team includes computer science professor and Databricks co-founder Ion Stoica. He is currently the ...
Business Wire

Announcing Novita AI's Partnership With vLLM to Advance AI Inference

SAN FRANCISCO--(BUSINESS WIRE)--Novita AI, a leading global AI cloud platform, is thrilled to announce a strategic partnership with vLLM, the leading open-source inference engine for large language ...
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 ...
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 ...
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 ...
Semiconductor Engineering

Pooling CPU Memory for LLM Inference With Lower Latency and Higher Throughput (UC Berkeley)

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...