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10 articles
This explainer explores the advanced M5 chip architecture and how competitive pricing strategies between Apple and Amazon affect consumer access to cutting-edge MacBook Air technology.
SpaceX plans to more than 5x its compute capacity by 2027, requiring over two million Nvidia Rubin GPUs. The company’s AI segment generated $2.56 billion in Q2 revenue, largely from leasing its own server infrastructure.
SpaceX plans to launch data centers into orbit, with Elon Musk calling it a minor engineering challenge. However, real AI training may require thousands of satellites.
South Korean chip startup Xcena has raised $135M betting that AI's biggest bottleneck isn't compute but memory. The company aims to revolutionize AI hardware by focusing on memory efficiency rather than raw processing power.
This explainer explores how memory bandwidth impacts AI performance and why recent RAM price drops matter for AI infrastructure development.
Learn how Neural Computers — a new AI concept — could revolutionize computing by combining thinking, remembering, and communication into one system.
This explainer explores virtual RAM - a critical computer memory management technique that allows systems to exceed physical memory limits by using disk storage as extended memory space, particularly important for AI and machine learning applications.
Nvidia's CEO argues that AI data centers will be more efficient and profitable if customers buy all components from the company. The strategy aims to establish Nvidia as the dominant force in AI infrastructure by offering a complete, integrated solution.
This explainer examines how Apple's MacBook Air M2 success relates to Microsoft's Surface RT failure, demonstrating key concepts in platform compatibility and ecosystem lock-in that are crucial for modern AI computing.
This explainer explores how Apple's MacBook Neo's neural engine architecture is forcing Windows PC manufacturers to reconsider their strategies in an AI-first computing landscape.
