Automat-it Launches LLM Selection Optimizer to Slash Startup LLM Costs by up to 60%

AWS Premier Tier Partner leverages its AI Services Competency and expertise to help founders cut LLM costs using ...

AI inference costs dropped up to 10x on Nvidia's Blackwell — but hardware is only half the equation

New deployment data from four inference providers shows where the savings actually come from — and what teams should evaluate ...
VentureBeat

New LLM optimization technique slashes memory costs up to 75%

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
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 ...
AASTOCKS.com

Tencent Hunyuan AI Infra Launches HPC-Ops, Boosting Inference Throughput by 30%

TENCENT (00700.HK)'s LLM Tencent Hunyuan AI Infra team announced the launch of HPC-Ops, an open-source production-grade ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...
Digi Times

ByteDance open-sources COMET to boost MoE efficiency, accelerating LLM training by 1.7x

ByteDance's Doubao AI team has open-sourced COMET, a Mixture of Experts (MoE) optimization framework that improves large language model (LLM) training efficiency while reducing costs. Already ...
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 ...
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 ...