AI insights, industry analysis, and technical guides
AI-powered inference is reshaping how students learn and institutions operate, from personalised tutoring engines to real-time assessment tools. Here's what the education sector is actually deploying—and what it costs to run it at scale.
Google drops its latest open-weight Gemma 4 models, OpenAI makes a media acquisition, and AMD enters the local LLM race. Here's everything that matters in AI this week.
AI-powered inference is reshaping how security teams detect threats, respond to incidents, and manage risk at machine speed. Here's what the cybersecurity sector is actually deploying — and why inference performance has become a strategic differentiator.
From Anthropic's accidental GitHub takedown to AMD's open-source LLM server and a $60M bet on AI-designed chips, the past 48 hours have been dense with consequential AI developments. Here's what technical decision-makers need to know.
From real-time content personalisation to AI-assisted production workflows, media and entertainment companies are deploying inference at unprecedented scale. Here is what the adoption landscape looks like today and why inference performance is now a strategic differentiator.
OpenAI closes a landmark funding round at an $852 billion valuation while 1-bit LLM architectures inch closer to commercial viability. This week's digest also covers a critical AI-assisted kernel exploit and a major cyberattack on open-source AI infrastructure.
Learn how to build a fully local, CPU-based LLM inference server using llama.cpp and a lightweight REST API wrapper. This tutorial walks you through every step, from model download to serving real HTTP requests.
From a significant source code leak affecting Anthropic's Claude Code to Ollama's new MLX-powered performance on Apple Silicon, the past 48 hours have been eventful for AI infrastructure. Google's new time-series foundation model and surging Claude Code usage round out a packed news cycle.
AI inference is no longer a back-office experiment in retail — it is the operational backbone driving personalisation, pricing, and fulfilment at speed. This analysis examines where adoption stands today and why inference performance is now a competitive differentiator.