Sponsored: The key to the data center power problem
A power-first mindset amid AI at scale and aging infrastructure
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Building the foundation for an autonomous enterprise
Andrew: Well, Megan, we’ve had a philosophy for a long time in Woodside from an innovation perspective, where we really want to think big, we want to prototype small, and we want to scale fast. We want to find big opportunities that we can go after, but we want to ensure that we look at…
Pickles glow when you plug them in. Science explains why
Senior physics writer Emily Conover has a Ph.D. in physics from the University of Chicago. She is a two-time winner of the D.C. Science Writers’ Association Newsbrief award and a winner of the Acoustical Society of America’s Science Communication Award.
Infoblox acquires Kentik, adding network observability to its DNS and DDI platform
Infoblox announced today that it has entered into a definitive agreement to acquire Kentik, combining Infoblox’s authoritative DNS, DHCP, and IP address management (IPAM) data with Kentik’s network observability platform. Financial terms were not disclosed. Kentik was founded in 2014, originally as CloudHelix before rebranding the following year, and has raised more than $100 million…
Launching UI for generative AI inference recommendations in Amazon SageMaker AI
Deploying generative AI models to production requires finding the right combination of instance type, serving container with settings, and optimization strategy. This process typically requires a long iteration cycle of optimization and manual benchmarking. In April 2026, Amazon SageMaker AI launched this inference recommendations, so customers can programmatically get data-driven, production-ready configurations through APIs. This…
Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova
When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive. As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs. However, reasoning is a key capability of the Amazon Nova…
History Says Buying Chip Stocks After a 20% Drawdown Has Usually Worked in This Cycle. Will It Work Again?
Key Points Semiconductor sell-offs offer buying opportunities because demand for AI chips has continued to outpace supply. A 20% decline doesn’t guarantee a bargain, though. Chip cycles eventually turn, and history shows downturns can become much steeper once oversupply emerges. Semiconductor investors have been here before. After a scorching run, chip stocks have tumbled again,…
