AI insights, industry analysis, and technical guides
From real-time content personalisation to AI-assisted production pipelines, media and entertainment organisations are deploying inference at unprecedented scale. Here is what the adoption landscape looks like today and why inference efficiency has become a boardroom priority.
Google is set to pour up to $40 billion into Anthropic, reshaping the AI investment landscape. Meanwhile, new research and developer tools are surfacing critical questions about LLM quality, benchmarking, and how language models represent knowledge internally.
Learn how to compile llama.cpp, download a quantized model, and expose it through a local REST API — all without a GPU. This tutorial walks you through every step so you can run production-grade language model inference on any Linux or macOS machine.
AI inference is moving from pilot projects to production lines across manufacturing and industrial operations, delivering measurable gains in quality, uptime, and throughput. Here is what the adoption landscape looks like today and why inference performance is now a competitive differentiator.
From Meta's landmark AI chip agreement with Amazon to the emergence of GPT-5.5 and a landmark humanoid robot victory in Beijing, the past 48 hours have been anything but quiet. Here's everything technical decision-makers need to know right now.
AI inference is no longer a back-office experiment in retail — it is driving real-time decisions at every stage of the customer journey. This analysis examines where adoption is accelerating, which use cases are delivering measurable returns, and why inference performance is now a competitive differentiator.
From Alibaba's powerful 27B dense coding model to ChatGPT's new Workspace Agents and a congressional push to shield children from AI chatbots, the past 48 hours have brought a wave of consequential AI developments. Here's what technical decision-makers need to know.
AI-powered inference is reshaping how legal teams manage risk, review contracts, and meet regulatory obligations. Here is what is actually being deployed and why inference performance is now a strategic concern for legal and compliance leaders.
Google fires its latest salvo at Nvidia with new AI silicon, while Anthropic faces questions over Claude Code and an unauthorised model access investigation. Meanwhile, the infrastructure layer for AI agents is quietly being hardened.