Home Blog

Google Cloud Platform Introduction and It’s products

0

Google Cloud technology or Google cloud platform is an automatic remote controlled Cloud Service that is provided by internet service giant Google LLC located in California. which can be easily accessed by anyone with a simple Google account and a internet connected device. It gives Wings to companies and individuals to manage their business and store their data, even create applications of software for their own use along with many other great and highly sophisticated works and workloads. it is also a great platform to test their pre-existing applications of software by implementing on different virtual machines (VMs) or what is called as instances. There are a lot of products which are offered by Google cloud computing.

There are a lot of others companies that also offer these services like Amazon, Cisco but here we are talking about Google because it is one of the greatest and most easy Cloud Services for a beginner. Here we are discussing some of the basic and most popular products of Google cloud computing, listed below. Read carefully and choose what you like the most and what suits you most.

Google Cloud Compute Engine –

Google Cloud compute engine is one of the basic features provided by Google cloud computing (GCP). Currently this service is widely used by Google’s own services for the search engine, Gmail, Google documents and Google Drive and by many multinational companies, government agencies, bloggers and IT teams and IT professionals from around the world. This service enables its users or clients to launch the virtual machines (VMs) on demand and deploy the software applications and other tools to work with. It is a service component of Google Cloud Product (GCP) which is built on global remote infrastructure which are located in various countries at various points which processes the demands of its users and its clients.

Google Cloud Hosting –

Google hosting is also one of the basic features provided by Google Cloud Computing and is a product of Google Cloud Platform (GCP) which enables the user to host the websites, applications and software along with online tools on its virtual cloud server that can be mostly access by users by providing a specific data of key which is also known as user ID or password through the Google hosting services. They can easily manage the data and the services. One of the great things that come with it is the user can deploy their ideas in minutes from anywhere at any time all around the globe with just a click in a second, it has also a great security systems which are regularly updated by Google’s own very professional security team to keep your data and application or software or whatever service you Host on their server secure and provide a strong security and privacy to the client’s customers precious data.

Google Cloud Run –

Google Cloud Run is a well managed and automated computer platform that enables the users, IT teams and IT professionals or the clients to run a separate current and container data via request or events for the commands provided externally. The best thing about Google Cloud Run is it is absolutely serverless and easily abstracts away all the infrastructure management workloads and needs, that mean you can focus more and more on what matters you most and build a great application, software, tool or whatever you like develop.

Google Cloud SDK –

Google Cloud SDK is a collection of different types of tools that can be used to access Google public portal form in a very secure way. It does have essential tools for maintaining, managing and monitoring the Google cloud platform and its services along with products and it is almost similar to Amazon Web service CLI. Some of the amazing tools of Google Cloud SDK are bq, Kubectl, Gcloud and Gsuitil and other command line tools which can interact with various Google Cloud Platform (GCP) products and services using the process automation scripts.

Google Cloud Graphic Processing Units (GPUs) –

Google Cloud Graphic Processing Units (GPUs) are part of Google cloud computing Engine that provides Graphic Processing Units that can be added to the virtual machine by the clients or users to enhance their machine performance by lowering down workload on main machine Computer Processing units (CPUs). These Graphic Processing Units (GPUs) can also be added to specific machines including virtual Machines (VMs) or specific workloads of a machine to enhance the overall performance of that current instance as Machine Learning (ML), Artificial Intelligence (AI) and Data Processing. These Graphic Processing Units (GPUs) come with 7 GB of RAM (Random Access Memory), 12-96 GB of RAM (Cascade Lake CPUs along with SSD (Soft Storage Devices) storage.

Google Cloud Video Artificial Intelligence (AI) –

Google Cloud video AI (Artificial intelligence) is a video intelligence Application programming interface which is developed by the Google Cloud core team that gives easy and trouble-free access to developers, IT professionals and IT teams to use Google video analysis Technology as part of their programmed application. This application programming interface enables their clients or users, IT teams and Professionals to annotate the given video that can be access to the locally or in cloud storage or in livestream, with a good remark of contextual information or idea at a level of different perspective like full video, a segment or per shot of the video or a single time of per frame of the video.

Google Cloud Vertex AI Introduction, benefits, Features and Pricings

0

The Google Cloud Platform is full of amazing and advanced cloud products and services, and in the list of most advanced products of Google Cloud Products, The “Google Cloud Vertex Artificial Intelligence (Google Cloud Vertex AI) is one of the most advanced product of Google Cloud Platform ever. Initially when it was launched, it was only used by handful of Peoples, Teams and companies around world but today so far, it has reached now millions of users around world including many world-renowned professionals, Multinational and well-established companies and highly skilled Developers including even beginners and new developers.

[quads id=1]

The Google Cloud Vertex Artificial Intelligence (AI) workspace is single environment for data analysis, data structure analysis and for data scientists to complete their ML works, from the initial experimentation to deployment and to managing and even monitoring the models. It is a jupyter-based automatic and fully managed, fully scalable and fully enterprise-ready compute infrastructure with amazing strong security controls along with easy user management capabilities.

Now let’s talk about some of the amazing benefits of Google Cloud vertex Artificial intelligence (AI). Please note that the Benefits of using Google Cloud vertex Artificial intelligence (AI) is a wide list long but, here is some of the best thing you are going to experience using Google Cloud Vertex Artificial intelligence (AI).

1. Easily train models without any code with minimal expertise required – With Google Cloud Vertex Artificial Intelligence (AI) you can take very advantage of AutoML to build model in a very short period of time. You can use Google Cloud Vertex Artificial Intelligence (AI) with the most advanced state of the art and pre-trained APIs for advanced computer vision, Computer language and data structure along with conversation.
2. With Google Cloud Vertex Artificial Intelligence (AI) you can Easily build of Advanced ML models by custom tooling – The one of the most loved benefits of Google Cloud Vertex Artificial Intelligence (AI) is its supported feature advanced ML coding by custom model tooling, with this feature user gets a lot of benefits and only about 80% fewer lines of code are required to train a desired model with custom language and other libraries than competitive platforms.
3. Easily manage your models with high confidence and without worry – With Google Cloud Vertex Artificial Intelligence (AI)’s MLOps tools, you can remove the complexity of model maintenance, such a Google Cloud Vertex Artificial Intelligence (AI) Pipelines to streamline running ML pipelines. The Google Cloud Vertex Artificial Intelligence (AI) also features Google Cloud Storage and also use of Artificial intelligence (AI) technologies as ML features.

Now, enough about benefits of Google Cloud Vertex Artificial Intelligence (AI), Now let’s talk about some of its best features it offers and uses along with pricing. Please note that Google Cloud Platform, which in short called as “GCP’ is continuously developing, testing and adding new features, tools and technology to it’s all GCP products, including Google Cloud Vertex Artificial Intelligence (AI) so that some features may vary from what has explained here. We will update this article once we have any news about new feature or update.

1. Unified User Interface for entire ML workflow of Google Cloud Vertex Artificial Intelligence (AI) – The Google Cloud Vertex Artificial Intelligence (AI) brings together the other Google Cloud products and Services for building ML under one and Unified user interface (UI) and API. In Google Cloud Vertex Artificial Intelligence (AI) you can also easily train and compare models using AutoML or custom code training and all your designed or coded models are stored in one and single central model repository. After it, these models can also be deployed to same endpoint on Google Cloud Vertex Artificial Intelligence (AI).
2. Easy and Clean End-to-End integration of data and Artificial Intelligence (AI) – The Google Cloud Vertex Artificial Intelligence (AI) is come with natively integrated with BigQuery, Spark, dataproc. One can easily use the Google Cloud BigQuery ML to create and execute Machine learning models in the Google Cloud BigQuery using standard SQL queries on the existing business intelligence (BI) tools and spreadsheets, or you can easily export datasets from BigQuery directly into the Google Cloud Vertex Artificial Intelligence (AI) workbench and you can also run models from there. You can also use vertex data labelling to generate highly accurate labels for you easy data collection and analysis.

Pricing of Google Cloud Vertex AI

Now Let’s talk about pricing of the Google Cloud Vertex Artificial Intelligence (AI). Please note that the pricing varies from service and uses time by time and you may not charge what is mentioned here. For detail pricing you may visit Google Cloud Platform website itself. The pricing here is minimum or average and there is no fixed price as Google has adopted “Pay-As-You-Go” model which means you just need to pay for what specific service you use for how much time and how much CPU and data is consumed. Given pricing is minimum.
The Google Cloud Vertex Artificial Intelligence (AI) charges as per your model training, prediction, and based on what other Google Cloud products and Service do you use. The Charges of other products are based on their own specific model.
The Google Cloud Vertex AI has a very complex pricing model which cannot be published hare and it The Complex and continuously changing pricing structure for Google Cloud Functions is preventing us from writing down pricings details. If you need the total price chart for Google Cloud Functions, you need to visit Google Cloud Platform itself. You can also calculate your estimations.

For detailed pricing estimation or list, please visit Google Cloud Platform (GCP) website, go to products on top bar, click on “see all Google cloud products 100+” and choose “Cloud Vertex AI” from the list of products and then click on pricing and Under-pricing, then click on “view pricing details” and after it, you’ll automatically land on a page with detailed pricing model and chart based on different usage and integrated services.