Companies like OpenAI , Google , Anthropic and Meta are spending billions of dollars on specialized chips, sprawling data centers and teams of researchers racing to build ever-more-powerful AI systems. Some estimates…
…What this really means is that relational database performance, except for some extreme corner cases at hyperscale, is largely a solved problem. Which is great. The Wild West Of AI Inference The…
…Your fitness data is presented in a concise view at the top of the screen, but the rest is all about the AI Coach interpreting your data, giving advice, and crucially, motivation…
…The use of the BigQuery tabular database in conjunction with Gemini has grown by 30X in the past year as well as companies see the benefits of a completely unified Google AI…
…an AI XPU. (Run 64-bit simulations, crunch data analytics, do visualization and graphics, etc. . . . ) They started with Arm-based server CPUs several years ago and are moving into AI XPUs. (Meta…
…Premium Lite , and now, a premium AI fitness coach. It undercuts standalone services that charge the same amount just to look at your daily data. Still, the verdict is out on real…
…As the AI industry has blossomed, the biggest tech companies and AI labs — all vying to have the most powerful and efficient AI — are buying so much RAM to power their data…
…GM announced plans to sell a commercial energy-storage system for AI data centers and the grid . It is partnering with energy-storage startup Peak Energy and will be developing an entirely…
…As the AI industry has blossomed, the biggest tech companies and AI labs — all vying to have the most powerful and efficient AI — are buying so much RAM to power their data…
…All the data collection for a mortgage is every company’s collecting the same stuff. And so in that case, maybe AI or whatever for more data collection is less interesting on…