Jeff Chen, an AI techie and entrepreneur at Stanford University in the US, believes that a suitable machine can be built for about $3,000 (~£2,300) without including tax. At the heart of the beast is an Nvidia GeForce 1080Ti GPU, a 12-core AMD Threadripper processor, 64GB of RAM, and a 1TB SSD card for data. Bung in a fan to keep the computer cool, a motherboard, a power supply, wrap the whole thing in a case, and voila.

Here’s the full checklist…

Image credit: Jeff Chen

Unlike renting out compute and data storage on cloud, once your personal rig is built, the only recurring cost to pay for is power. It costs $3 (£2.28) an hour to rent a GPU-accelerated system on AWS, whereas it’s only 20 cents (15p) to run on your own computer. Chen has done the sums, and, apparently, after two months that will work out to being ten times cheaper. The gap decreases slightly over time as the computer hardware depreciates.

“There are some drawbacks, such as slower download speed to your machine because it’s not on the backbone, static IP is required to access it away from your house, you may want to refresh the GPUs in a couple of years, but the cost savings is so ridiculous it’s still worth it,” he said this week.

Source: Building your own PC for AI is 10x cheaper than renting out GPUs on cloud, apparently • The Register

For years Google has warned users about natural disasters by incorporating alerts from government agencies like FEMA into apps like Maps and Search. Now, the company is making predictions of its own. As part of a partnership with the Central Water Commission of India, Google will now alert users in the country about impending floods. The service is only currently available in the Patna region, with the first alert going out earlier this month.

As Google’s engineering VP Yossi Matias outlines in a blog post, these predictions are being made using a combination of machine learning, rainfall records, and flood simulations.

“A variety of elements — from historical events, to river level readings, to the terrain and elevation of a specific area — feed into our models,” writes Matias. “With this information, we’ve created river flood forecasting models that can more accurately predict not only when and where a flood might occur, but the severity of the event as well.”

Source: Google is using AI to predict floods in India and warn users – The Verge