Home-Assistant.io
openHAB
ioBroker
Domoticz
Google Home
Home
HomeGenie
Gladys
Lambda Face Recognition API
Mattermost
Vast.ai
ipinfo.io
Grafana
Platform.sh
PostHog
Causal App
Home-Assistant.io
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Based on our record, Home-Assistant.io should be more popular than Lambda Face Recognition API. It has been mentiond 68 times since March 2021. 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.
You want a smart home? Home Assistant is FOSS, integrates with every device you own, and much more advanced than any proprietary platform. Look no further: https://home-assistant.io I'm just a happy user. - Source: Hacker News / 9 months ago
* 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 / over 2 years ago
HA is Home Assistant. You should check it out. Mushroom is an add on to HAโs interface that adds sone different style โcardsโ than what it comes with. Source: about 3 years 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 3 years 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 3 years ago
Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. Thatโs a realistic... - Source: dev.to / 5 months ago
Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago
Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago
I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago
openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation
Mattermost - Mattermost is an open source alternative to Slack.
ioBroker - flexible and modular application for the IoT and Smarthome
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
Domoticz - Domoticz is a lightweight Home Automation System
ipinfo.io - Simple IP address information.