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 ...

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of ...

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 ...

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

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

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 ...

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.

As artificial intelligence companies clamor to build ever-growing large language models, AI infrastructure spending by Microsoft (NASDAQ:MSFT), Amazon Web Services (NASDAQ:AMZN), Google ...

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 ...

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

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 ...