Presented at the Munich Cyber Security Conference on 12 February 2026, with remarks by EU Commissioner Andrius Kubilius, former European Commissioner Gunther Oettinger, and Embedded LLM Founder Ghee ...
ElastixAI solves the systemic inefficiencies of GenAI inference through innovative software-ML-hardware co-design, delivering the next generation of scalable, sustainable AI. The founding team brings ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
New York, United States, February 26th, 2026, FinanceWireIn the emerging AI economy, raw algorithmic ingenuity, while still ...
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
The launch of ChatGPT in November 2022 marked the beginning of a new chapter in AI. Most of the industry’s attention had focused on the training of increasingly larger models to improve accuracy. The ...
Until now, AI services based on Large Language Models (LLMs) have mostly relied on expensive data center GPUs. This has resulted in high operational costs and created a significant barrier to entry ...
Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and first reasoning dLLM. Mercury 2 ...
XDA Developers on MSN
I run local LLMs in one of the world's priciest energy markets, and I can barely tell
They really don't cost as much as you think to run.
Nvidia just paid $20 billion for Groq's inference technology in what is the semiconductor giant's largest deal ever. The question is: Why would the company that already dominates AI training pay this ...
Researchers at Pillar Security say threat actors are accessing unprotected LLMs and MCP endpoints for profit. Here’s how CSOs can lower the risk. For years, CSOs have worried about their IT ...
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