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 ...

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 ...

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 ...

They really don't cost as much as you think to run.

Production-ready, fully managed AI for regulated, air-gapped, and mission-critical environments CANNES, FRANCE, ...

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 ...

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 ...

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 ...

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

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 ...