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react-gtm-module
This is a Javascript module to React based apps that implement Google Tag Manager. It is designed to use GTM snippet.
You can easily use custom dataLayer, multiple dataLayers and additional events.
npm:
npm install react-gtm-module --save
Initializing GTM Module:
import React from 'react'
import ReactDOM from 'react-dom'
import Router from 'react-router'
import routes from './routes'
...
import TagManager from 'react-gtm-module'
const tagManagerArgs = {
gtmId: 'GTM-000000'
}
TagManager.initialize(tagManagerArgs)
...
const app = document.getElementById('app')
ReactDOM.render(<Router routes={routes} />, app)
import React from 'react'
import ReactDOM from 'react-dom'
import Router from 'react-router'
import routes from './routes'
...
import TagManager from 'react-gtm-module'
const tagManagerArgs = {
gtmId: 'GTM-000000',
dataLayer: {
userId: '001',
userProject: 'project'
}
}
TagManager.initialize(tagManagerArgs)
...
const app = document.getElementById('app')
ReactDOM.render(<Router routes={routes} />, app)
If you need send multiple custom dataLayer you can initialize GTM Module on different components sending different dataLayers
You can initialize it normally:
import React from 'react'
import ReactDOM from 'react-dom'
import Router from 'react-router'
import routes from './routes'
...
import TagManager from 'react-gtm-module'
const tagManagerArgs = {
gtmId: 'GTM-000000',
dataLayerName: 'PageDataLayer'
}
TagManager.initialize(tagManagerArgs)
...
const app = document.getElementById('app')
ReactDOM.render(<Router routes={routes} />, app)
And send your data in each page you want
import React from 'react'
...
import TagManager from 'react-gtm-module'
const tagManagerArgs = {
dataLayer: {
userId: '001',
userProject: 'project',
page: 'home'
},
dataLayerName: 'PageDataLayer'
}
...
const Home = () => {
...
TagManager.dataLayer(tagManagerArgs)
...
return (
<div className='home'>
//your component code
</div>
)
}
export default Home
import React from 'react'
import ReactDOM from 'react-dom'
import Router from 'react-router'
import routes from './routes'
...
import TagManager from 'react-gtm-module'
const tagManagerArgs = {
gtmId: 'GTM-000000',
events: {
sendUserInfo: 'userInfo'
}
}
TagManager.initialize(tagManagerArgs)
...
const app = document.getElementById('app')
ReactDOM.render(<Router routes={routes} />, app)
Configure how Tag Manager will works between development and production server environments.
import React from 'react'
import ReactDOM from 'react-dom'
import Router from 'react-router'
import routes from './routes'
...
import TagManager from 'react-gtm-module'
const tagManagerArgs = {
gtmId: 'GTM-000000',
auth: '6sBOnZx1hqPcO01xPOytLK',
preview: 'env-2'
}
TagManager.initialize(tagManagerArgs)
How can I find auth and preview?
Go to Google Tag Manager -> ADMIN -> Environments -> Actions -> Get Snippet. Look for gtm_auth and gtm_preview
Don't know to use GTM environments?
Value | Type | Required | Notes |
---|---|---|---|
gtmId | String | Yes | GTM id, must be something like GTM-000000 . |
dataLayer | Object | No | Object that contains all of the information that you want to pass to Google Tag Manager. |
dataLayerName | String | No | Custom name for dataLayer object. |
events | Object | No | Additional events such as 'gtm.start': new Date().getTime(),event:'gtm.js'. |
auth | String | No | used to set environments. |
preview | String | No | used to set environments, something like env-00 . |
Disabling javascript in the browser can prevent the correct operation of this library if React is only being rendered on the client side.
Before implementing GTM in your application ensure that you have at least one published container, otherwise Google Tag Manager snippet will return 404.
Author: Alinemorelli
Source Code: https://github.com/alinemorelli/react-gtm
License: MIT license
1598839687
If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?
In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.
Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.
React Native is a popular JavaScript framework that Facebook has created. You can use this open-source framework to code natively rendering Android and iOS mobile apps. You can use it to develop web apps too.
Facebook has developed React Native based on React, its JavaScript library. The first release of React Native came in March 2015. At the time of writing this article, the latest stable release of React Native is 0.62.0, and it was released in March 2020.
Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.
The popularity of React Native comes from its advantages. Some of its advantages are as follows:
Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.
React Native is very close to native. Consider the following aspects as described on the React Native website:
Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.
#android app #frontend #ios app #mobile app development #benefits of react native #is react native good for mobile app development #native vs #pros and cons of react native #react mobile development #react native development #react native experience #react native framework #react native ios vs android #react native pros and cons #react native vs android #react native vs native #react native vs native performance #react vs native #why react native #why use react native
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Pick the right hash tags and enjoy likes and comments on the post.
Making engaging reels about the travels, fashion, fitness, contest, and more, the results are not satisfactory. All you get is a few likes, comments and nothing else. You need the engagement on your post to bring more business to you. How can you bring interaction to the content? Indeed you can buy real instagram likes uk to get high rates. But how can you make the Instagram world hit the likes button under the post? You need to boost the reach. You must present your content to the right audiences to get higher interaction rates.
Your Instagram #tags are the power tool that works like magic for influencers and businesses. The blue text with # is the magical option that increases the viability of the posts. The Instagram algorithm keeps on changing, and now the engagement on the post is a must to place the content at a higher place in followers’ feed. For this, you require more likes and comments under the post. For this, you must lift the reach by using perfect tags.
Why are hashtags popular on Instagram?
Let me clear it for you. Do you know how many active users this digital handle has? It is about 2B and more, and the count is changing every day. Each of the followers must be posting something on the handles. Thousands of profit must be of a similar niche as yours. If you are the business and running the clothing brands, then many other companies deal with clothes. So, customers or followers have many choices to choose from. Why would they follow you or purchase from your companies?
Your reply must be that you offer quality material at the best rates. But how does anyone finds out about you? Indeed you can buy active instagram followers uk to bring more fans, but how can you boost the reach of your voices. All businesses must represent their product to the right audiences, but how?
Of course, hashtags.
Table of Contents
There are some basic tags that you can use, but if you are more specific about your approach, choose the relevant tags for your business. Your #tags game must be industry oriented. So in this part, you will learn about the famous tags as per various niches.
Tags for Travel Niche
Indeed this niche is famous on Instagram, and influencers earn handsome amounts. These #tags are best for you if you possess a similar place. Use them smartly and rightly!
#TravelPhotography
#PicOfTheDay
#NaturePhotography
#TravelBlogger
#beautiful
#landscape
#adventure
#explore
#instatravel
#photo
#trip
#summer
#travelgram
#photography
#art
#travel
#wanderlust
#nature
#instagood
#PhotoOfTheDay
After thee travel next most famous niche is fashion. You can earn handsome amount form it. But for this you need to pick the right tags form the following:
So, what to boost your fitness business then uses these tags and enjoys likes:
Best Tags for Giveaway
So, are you arranging the giveaway and want a maximum number of people to participate? If so, then it is time to boost the reach vis using these tags
Are you the reels queen, or do you want to become the one? Then these below mentioned tags are for you. But don’t go for all of them because you can use only thirty of them. Pick it smartly!
Do you love to eat and what to share your experience with another foodie on Instagram? If you are visiting any cafe, then before uploading, always add one of the following tags!
There is a long list of each niche, and you can use all of them. If you are confused about what to pick and whatnot, here is the guide to choosing the perfect tag.
Study your competition. Review their post and study the tags they are using.
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Reporting and visualizing data is crucial to businesses of all sizes. Dashboards allow users to efficiently access and use this data for a range of business operations. In this article, Toptal Full-stack Engineer Dylan Golow demonstrates how he created a powerful dashboard for telemedicine using Airtable, Typeform, and React.
Whether a company is a large enterprise or a budding startup, collecting data from users and customers, and reporting on or visualizing that data is crucial to the business.
I recently worked with a telemedicine startup based in Brazil. Its mission is to provide remote care and monitoring by connecting patients to medical professionals and health coaches. The core need was to create an interface for the coaches and health professionals to easily review a patient’s information and most important metrics related to their particular situation: a dashboard.
Enter Typeform and Airtable.
Typeform is one of the go-to data collection tools that enables responsive web experiences for users completing a survey. It also comes with several features that make surveys more intelligent, especially when combined:
Surveys can be shared via URLs that can be pre-seeded with values for the hidden fields, which can then be used to implement logic jumps and alter the behavior of the survey for the user with the link.
Airtable is a spreadsheet-database hybrid and a collaborative cloud platform. Its focus on point and click functionality means that non-technical users can configure it without coding. Airtable has a multitude of use cases in any business or project.
You can use an Airtable Base for:
There are many more potential use cases. You can explore Airtable case studies here.
If you are not familiar with Airtable, the conceptual data model breaks down like this:
Apart from providing a cloud-hosted database with familiar spreadsheet features, here are some of the reasons the platform is so powerful:
For non-technical users, Airtable provides:
For developers, Airtable provides:
You can learn more on Airtable here.
Typeform surveys were already configured by the client, and the next step was to plan how that data would land in Airtable and then be turned into a dashboard. There are many questions to consider when creating dashboards on top of any database: How should we structure the data? What data will need to be processed prior to visualization? Should we sync the Base with Google Sheets and use Google Data Studio? Should we export and find another third-party tool?
Fortunately for developers, not only does Airtable provide automations and scripting to handle the data processing steps, but it has also made it possible to build custom applications and interfaces on top of an Airtable Base with Airtable Apps.
Custom Apps in Airtable have been around since the Airtable Blocks SDK was released at the beginning of 2018, and were recently renamed to Apps. The release of Blocks was huge in that it meant that creators now had the ability to develop, as Airtable puts it, “An infinitely recombinable Lego kit.”
More recently with the change to apps, the Airtable Marketplace made it possible to share apps publicly, as well.
Airtable Apps provide businesses with an infinitely recombinable Lego kit they can tailor to their needs.
In order to build a custom app in Airtable, a JavaScript developer must know how to use React, one of the most popular JavaScript libraries for building user interfaces. Airtable provides a component library of functional React components and hooks, which are a huge help for rapidly building a consistent UI and determining how you will manage state within the app and its components.
Check out Airtable’s Getting Started article for more information and Airtable on GitHub for examples of apps.
After reviewing the dashboard mockups with the client team, the types of data to be used were clear. We would need a series of dashboard components that would display as text on the dashboard and charts of different metrics that could be tracked over time.
Coaches and medical professionals needed to be able to build a custom dashboard for each patient, so we needed a flexible way to add and remove charts. Other static data relative to each patient would be displayed no matter the patient selected.
In this case, the dashboard sections boiled down to:
One way to approach all of the sections except for charts would be to hard-code all the columns for objectives, medicine use, and family history into the dashboard. However, that would not allow the client team to add new questions to a Typeform survey nor add a new column to an Airtable table to present that data on the dashboard without having a developer update the custom app.
A more elegant and extensible solution to this challenge was finding a way to tag columns as relevant to a particular dashboard section and retrieve those columns using the metadata that Airtable exposes when using the Table and Field models.
This was achieved using Field Descriptions as a place to tag a column from the Table as relevant to a dashboard section to be displayed to the user. Then, we could ensure only those with the Creator role (the administrators) for the Base had the ability to modify these Field Descriptions to alter what appears on the dashboard. To illustrate this solution, we will focus mostly on the items in General Information and how to present Charts.
Given the dashboard sections, it made sense to make reusable tags for some sections and specific tags for certain columns. For items like patient name, email, and phone number, #NAME#
, #EMAIL#
, and #PHONE#
were added to each Field’s description, respectively. That would allow that information to be retrieved via the Table metadata like this:
const name = table ? table.fields.filter(field => field.description?.includes("#NAME#"))
For areas of the dashboard that would need to draw from many tagged columns we would have the following tags for each dashboard section:
In addition, it was important to separate the name of a column in a Table from the label it would receive on the dashboard, so anything that received a #TAG#
would also have the ability to receive two #LABEL#
tags in its Field Description. A Field Description would look like this:
In case the #LABEL#
tags are missing, we will display the column name from the Table.
We can parse out the label set in the description with a simple function like this after retrieving the field with the previous code example:
// utils.js
export const setLabel = (field, labelTag = "#LABEL#") => {
const labelTags = (field.description?.match(new RegExp(labelTag, "g")) || []).length;
let label;
if (labelTags === 2) label = field.description?.split(`${labelTag}`)[1];
if (!label || label?.trim() === '') label = field.name;
return {...field, label, name: field.name, description: field.description};
}
With this #TAG#
system, we achieve three main things:
In React, we use state and pass it to components as props in order to re-render that component if its state changes. Normally this is tied to an API call that fuels a dashboard component, but in Airtable we already have all the data and simply need to filter what we are displaying based on which patient we are viewing. In addition, if we use state, it will not persist the data past a refresh in the dashboard itself.
So, how can we persist a value past refresh to keep a dashboard filtered? Fortunately, Airtable provides a hook for this called useGlobalConfig in which it maintains a key-value store for an app installation on a dashboard. We simply need to implement the logic of retrieving values from this key-value store when the app loads to fuel our dashboard components.
What is even more useful about using the useGlobalConfig
hook is that when its values are set, the dashboard component and its child components re-render, so you can use the Global Config like you would use a state variable in a typical React implementation.
Airtable provides examples of charts with its Simple Chart App, which uses React Charts, a React wrapper on Chart.js (chart-ception).
In the Simple Chart App, we have one chart for the whole app, but in our Dashboard App, we need the ability for the user to add and remove their own charts from their own dashboard. What’s more, in discussion with the client team, it seems that certain metrics would be better viewed on the same chart (like readings for diastolic and systolic blood pressure).
With this we have the following items to tackle:
This is where the power of the Global Config comes in handy, as we can use the key-value store to maintain the selected metrics and anything else about our list of charts. As we configure a chart in the UI, the chart component itself will be re-rendered due to updates to the Global Config. For the charting section of the dashboard, here is a gist with the components for reference, focusing on dashboard charts.js and single chart.js.
The table passed to each chart is what is used for its metadata to find the fields, whereas the records passed have already been filtered by the patient selected at the top-level dashboard component that imports dashboard_charts/index.js
.
Note that the fields listed as options in the dropdown for a chart are pulled using the #CHART#
tag we mentioned before, with this line in a useEffect
hook:
// single_chart/index.js
…
useEffect(() => {
(async () => {
...
if (table) {
const tempFieldOptions = table.fields.filter(field =>
field.description?.includes('#CHART#')).map(field => {
return {
...setLabel(field),
value: field.id
}
});
setFieldSelectOptions([...tempFieldOptions]);
}
})();
}, [table, records, fields]);
...
The code above shows how the setLabel
function referenced earlier is used with the #TAG#
to add anything provided in the #LABEL#
tags and display it for the option in the field dropdown.
Our chart component takes advantage of the multi-axis capabilities provided by Chart.js, which is shown with React Charts. We just extended it via the UI with the user’s ability to add a dataset and a chart type (line or bar).
The key to using Global Config, in this case, is to know that each key can only hold a string | boolean | number | null | GlobalConfigArray | GlobalConfigObject (see Global Config Value reference).
We have the following items to maintain per chart:
To manage this, I found it most convenient to stringify this data as an object instead of setting Global Config keys and values all the way down. See the example below (globalConfig.json in the gist), which includes Global Config values to filter records by the patient and some related variables used to support a typeahead filtering component (thanks to react-bootstrap-typeahead):
{
"xCharts": {
"chart-1605425876029": "{\"fields\":[{\"field\":\"fldxLfpjdmYeDOhXT\",\"chartOption\":\"line\",\"color\":\"blueBright\",\"hex\":\"#2d7ff9\"},{\"field\":\"fldqwG8iFazZD5CLH\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:37:56 AM\"}",
"chart-1605425876288": "{\"fields\":[{\"field\":\"fldGJZIdRlq3V3cKu\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:37:56 AM\"}",
"chart-1605425876615": "{\"fields\":[{\"field\":\"fld1AnNcfvXm8DiNs\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"},{\"field\":\"fldryX5N6vUYWbdzy\",\"chartOption\":\"line\",\"color\":\"blueDark1\",\"hex\":\"#2750ae\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:37:56 AM\"}",
"chart-1605425994036": "{\"fields\":[{\"field\":\"fld9ak8Ja6DPweMdJ\",\"chartOption\":\"line\",\"color\":\"blueLight2\",\"hex\":\"#cfdfff\"},{\"field\":\"fldxVgXdZSECMVEj6\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:39:54 AM\"}",
"chart-1605430015978": "{\"fields\":[{\"field\":\"fldwdMJkmEGFFSqMy\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"},{\"field\":\"fldqwG8iFazZD5CLH\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"}],\"chartTitle\":\"New Chart\"}",
"chart-1605430916029": "{\"fields\":[{\"field\":\"fldCuf3I2V027YAWL\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"},{\"field\":\"fldBJjtRkWUTuUf60\",\"chartOption\":\"line\",\"color\":\"blueDark1\",\"hex\":\"#2750ae\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 4:01:56 AM\"}",
"chart-1605431704374": "{\"fields\":[{\"field\":\"fld7oBtl3iiHNHqoJ\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 4:15:04 AM\"}"
},
"xPatientEmail": "elle@gmail.com",
"xTypeaheadValue": "Elle Gold (elle@gmail.com)",
"xSelectedValue": "[{\"label\":\"Elle Gold (elle@gmail.com)\",\"id\":\"elle@gmail.com\",\"name\":\"Elle Gold\",\"email\":\"elle@gmail.com\"}]"
}
Note: All data contained above, and the data included in the animations below, are not real patient data.
Here’s a look at the final result:
In order to filter by patient, we needed a way to select a patient and then filter the records based on this patient. In this section, we review how this was achieved.
For the typeahead, react-bootstrap-typeahead was an easy choice, as the only steps left were preparing the options for the typeahead, mixing it with an Airtable input for styling and loading bootstrap, and some other styles for our menu. Dropping components from your favorite component libraries into an Airtable app is not as straightforward as in typical React web development; however, there are only a few extra steps to get everything to look the way you would expect.
Here is the final result:
To render the Airtable input and keep all our styles consistent, react-bootstrap-typeahead comes with a renderInput prop. See more on how to modify the rendering of the component here.
For the bootstrap styles and to override our menu items, the following two utils were used from Airtable:
See frontend.js in the gist for an excerpt of the typeahead implementation.
This line was used to load bootstrap globally:
// frontend/index.js
loadCSSFromURLAsync('https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css');
You will notice some added logic for things like handling style changes on hover or restyling links (<a></a>
) to get the familiar bootstrap look and feel. This also includes the handling of setting the Global Config values for the typeahead and filtering of records so that if a user leaves their dashboard, refreshes their page, or would like to share this dashboard with others, the app persists the selected patient in the Dashboard App. This also allows the users to install multiple copies of this same app side by side in the same Airtable Dashboard with different patients selected or with different charts.
Keep in mind that a dashboard in Airtable is also available to all users of the Base, so these custom app installations on a dashboard will be filtered to the same patients and charts no matter which users are looking at the dashboard at the same time.
Let’s recap what we’ve covered for far:
#TAG#
system can be used to modify the dashboard without requiring code changes by developers. There are better and worse use cases for this. Be sure to limit permissions to the Creator role if using this strategy.loadCSSFromString
and loadCSSFromURLAsync
utils provided by Airtable.Use a more sophisticated middleware
With Typeform and Airtable, it’s easy and cost-effective to configure the mapping of questions to columns.
However, there is one big drawback: If you have a survey of more than 100 questions mapped to Airtable and you need to modify a mapping, you must delete the entire mapping and start again. This is clearly not ideal, but for a free integration, we can deal with this.
Other options would be having a Zapier (or similar) integration manage the data between Typeform and Airtable.Then you could modify the mapping of any question to any column without starting from scratch. This would have its own cost considerations to factor in as well.
Hopefully, some of the lessons learned and communicated here will help others who are looking to build solutions with Airtable.
Finally, you can check out the gist with the files discussed in this article.
Original article source at: https://www.toptal.com/
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Integrate google login in react apps; This example tutorial will show you step by step how to implement google login in react apps using javascript SDK.
If you want to integrate google login authentication in your react app. So you will not need any react plugin for this. In this tutorial, you will learn how to add a google login button in react app without any react plugin.
Before you can integrate Google Sign-In into your react app, you must create a client ID, which you need to call the sign-in API.
To create a Google API Console project and client ID, go to the APIs & Services dashboard and then follow the following steps:
Step 1: Visit Google Developer Console. And create a new project as following in below picture:
Step 2: you will see the screen looks like, show here you can set your project name as you want.
Step 3: Now you have successfully created a new project. After that, you need to select the created projects on the top menu. Then click on OAuth consent screen and select the given option according to your requirement:
Step 4: when you will be done above. After that automatically appear below given screen. In this screen, you need to fill your website URL, privacy policy URL, etc.
Step 5: you need to click on left side menu credentials and appear below screen. In this screen, you need to select OAuth client ID.
Step 6: After that, the below form will be apper. Here From different Application type options, you have to select Web application. Once you have select Web application option, then one form will appear on web page. Here you have to define Name and you have also define Authorized redirect URIs field and lastly click on Create button.
Step 7: the pop looks like below in picture automatically appear. Once you have click on the create button, then you can get your Client ID and your client secret key. You have to copy both key for future use for implement Login using Google account using PHP.
Please note that, google client id and secret.
https://www.tutsmake.com/react-google-login-button-example/
#react-google-login component #react-google-login demo #google login with react #add google login button to react
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The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.
Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.
The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.
#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus