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Based on our record, Home-Assistant.io seems to be a lot more popular than Google Cloud TPU. While we know about 67 links to Home-Assistant.io, we've tracked only 5 mentions of Google Cloud TPU. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
* Home Assistant (https://home-assistant.io/) - with USB passthrough of USB stick to read out my digital electricity/gas meters, Zigbee and Z-Wave. - Source: Hacker News / 29 days ago
HA is Home Assistant. You should check it out. Mushroom is an add on to HA’s interface that adds sone different style “cards” than what it comes with. Source: 11 months ago
Yes, there's Home Assistant that can work completely off-line. You can find multitude tutorials on youtube on how to set it up, even using cheap solutions like Raspberry PI. Source: about 1 year ago
I'm going to suggest- you ever heard of Home Assistant? It's a really useful home automation tool you could integrate with weather and clock on a dashboard. As well, you could use it to control smart devices. Source: about 1 year ago
As for the "what is playing" detection on my google minis. This is done with "https://home-assistant.io/". Source: over 1 year ago
According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / about 2 years ago
You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / over 2 years ago
Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: almost 3 years ago
TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 3 years ago
The server choice really depends on how much CPU and RAM the requests take, how many users will be hitting the server, etc. You can start with a $5/month Digital Ocean server (or AWS or Google) and see if that works for you. Or you can outsource the server administration to Amazon or Google if you don't want to deal with it or need specialized tpu hardware. Source: about 3 years ago
openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Google Home - Set up, manage, and control your Chromecast, Chromecast Audio and Google Home devices.
machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
ioBroker - flexible and modular application for the IoT and Smarthome
Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.