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All-in-one tool. We use it for docs, project management, tasks, wiki and so on. Awesome product!
Been using Clickup for 8 months now and can't imagine life/work without it ... Very complete and in constant improvement thanks to a great team.
Based on our record, ClickUp seems to be a lot more popular than Google Cloud TPU. While we know about 108 links to ClickUp, 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.
Clickup.com — Project management. Free, premium version with cloud storage. Mobile applications and Git integrations are available. - Source: dev.to / 3 months ago
For most teams who don't have the option to subscribe to popular Project Management apps like JIRA, Asana, ClickUp, or Monday, you can make use of GitHub's issue management system to track the bugs in your application. - Source: dev.to / 8 months ago
Create a unified live to-do list from different task builders. We can unify tasks from google doc assignments and clickup tasks. Source: 9 months ago
ClickUp is an all-in-one productivity platform. It’s designed for planning projects, managing tasks, and communicating with team members. Source: 9 months ago
Clickup is perfect for huge teams. Tools for communication, scheduling, and planning are included in the software. It is also visually appealing, allowing you to make graphs, calendars, lists, and charts. ClickUp features fundamental reporting. - Source: dev.to / 9 months 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
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Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.