Edge Computing

words.Cloudflare deployed a fix for a dashboard bug that briefly disrupted high‑traffic sites such as LinkedIn, Coinbase and Shopify, triggering a 4.5% pre‑market stock dip before shares recovered to about 2% below the prior close. This is the company’s second major outage in a month, underscoring the systemic risk of relying on a few CDN providers. Analysts note the incident highlights the need for multi‑provider strategies and improved testing, while Cloudflare’s growth prospects remain strong amid expanding edge‑security services.

.Mistral AI unveiled a new suite of models, including a large‑scale, open‑weight multilingual multimodal model (Mistral 3) aimed at agentic tasks and positioned against GPT‑4‑Turbo and Gemini‑1.5, and a lightweight edge model (Ministral 3) that runs on a single GPU for robotics, drones and on‑device translation. Backed by a €1.7 billion funding round—led by ASML, Nvidia, Microsoft and Andreessen Horowitz—the French startup, now valued at €11.7 billion, has secured enterprise deals with HSBC and other sectors, pursuing a dual strategy of high‑performance research and efficient edge AI.

.Maris‑Tech Ltd. (Nasdaq: MTEK) issued $2 million in non‑interest‑bearing convertible promissory notes to institutional investors. Net proceeds will fund working capital, general corporate needs, and U.S. commercial expansion. Note A opens a conversion window at six months and is fully convertible at twelve months; Note B is fully convertible at twelve months, with any remaining principal automatically converting after twenty‑four months, all subject to a price‑floor formula. The notes were sold in a private placement exempt from registration, meaning they cannot be publicly resold and will dilute existing shareholders upon conversion.

AI spending in Asia Pacific faces challenges in ROI due to infrastructure limitations hindering speed and scale. Akamai, partnering with NVIDIA, addresses this with “Inference Cloud,” decentralizing AI decision-making for reduced latency and costs. Enterprises struggle to scale AI projects, with inference now the primary bottleneck. Edge infrastructure enhances performance and cost-efficiency, especially for latency-sensitive applications. Key sectors adopting edge-based AI include retail and finance. Cloud and GPU partnerships are crucial for meeting expanding AI workload demands, with security as a vital component. Future AI infrastructure will require distributed management and robust security.

Leonardo DRS has launched SAGEcore™, a software platform integrating AI, sensor technology, and edge computing for tactical applications. Designed for rapid data fusion in multi-domain environments, SAGEcore aims to provide warfighters with real-time situational awareness, enabling faster decision-making. The platform supports various tactical systems and offers capabilities like multi-sensor data fusion, AI/ML algorithm execution, and secure communication. Leonardo DRS targets key areas like counter-UAS and electronic warfare, positioning itself in the growing AI-powered defense market.