What Happens to Your Data When You Delete It? (Spoiler: It Doesn’t Disappear)

Cerebras Chips Power OpenAI Breakthroughs: How Specialized Hardware Is Reshaping AI Coding

The article discusses OpenAI's adoption of Cerebras chips for AI development, highlighting how specialized hardware like the Wafer-Scale Engine enhances computational power for training complex AI models. It explores how this hardware shift supports real-time software development and coding assistants like GitHub Copilot, positioning Cerebras as a game-changer in the AI hardware landscape and reflecting broader industry trends toward custom AI-optimized solutions.

Calix's Stealth AI Push Empowers Small Broadband Providers in 2026

In 2026, Calix's stealth AI push empowers small broadband providers with cloud-native, agentic AI platforms that enhance efficiency, enable proactive customer engagement, and foster community connections, leveling the playing field against larger competitors.

Sony's Flagship Wireless Earbuds Redefine Hi-Fi Audio Portability

Sony's flagship wireless earbuds redefine hi-fi audio portability with advanced technologies like Adaptive Sound Control, AI personalization, LDAC high-res audio, up to 24 hours battery life, and a compact 5g design for immersive sound on the go.

OpenAI's GPT-5.3-Codex on Cerebras: Diversifying Beyond Nvidia's Grip

OpenAI's GPT-5.3-Codex on Cerebras systems marks a strategic shift from Nvidia dominance, leveraging Wafer Scale Engine for superior AI performance and efficiency in coding tasks amid internal governance scrutiny.

Samsung's HBM4 Shipping Sparks Intense AI Memory Competition for Next-Gen AI Models

Samsung's HBM4 shipments mark a major leap in AI memory, boasting 40% better power efficiency via low-voltage TSV tech, 11.7Gbps speeds up to 13Gbps, and 3.3TB/s bandwidth. With 12-layer stacks from 24GB to 36GB, it pressures rivals like SK Hynix and Micron, surges Samsung's stock 7.6%, and sets new benchmarks for next-gen AI data centers.[1][2]

AI Chip Buildout Accelerates: Applied Materials Signals Enduring Demand Amid Supply Crunch

Applied Materials signals enduring demand for chipmaking tools amid AI buildout and supply chain challenges. Robust investments in AI drive need for advanced semiconductors, with the company poised to capitalize despite production hurdles. Innovations in transistor and wiring tech target 2nm chips for energy-efficient AI compute.