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 ...

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

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time ...

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 ...

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

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.

Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to ...

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 ...

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 ...

Robotics is forcing a fundamental rethink of AI compute, data, and systems design Partner Content Physical AI and robotics are moving from the lab to the real world— and the cost of getting it wrong ...

While Nvidia gets most of the press and market volume, there are three startups that have designed custom silicon and rack-scale infrastructure to compete with them head-on: Cerebras, Groq and Samba ...