Tumgik
#Cloud Computing company
Text
Elevate Your Business With Cutting-Edge Cloud Application Development Services
0 notes
worldstechinformation · 8 months
Text
Tumblr media
0 notes
ecoamerica · 23 days
Text
youtube
Watch the American Climate Leadership Awards 2024 now: https://youtu.be/bWiW4Rp8vF0?feature=shared
The American Climate Leadership Awards 2024 broadcast recording is now available on ecoAmerica's YouTube channel for viewers to be inspired by active climate leaders. Watch to find out which finalist received the $50,000 grand prize! Hosted by Vanessa Hauc and featuring Bill McKibben and Katharine Hayhoe!
6K notes · View notes
onixcloud · 1 year
Text
Cloud-based analytics is a data analysis tool that enables organizations to store, process, and analyze large amounts of data in real-time. In this blog, we will discuss the advantages of using cloud-based analytics, with a focus on Onix, a technology consulting firm specializing in cloud solutions and cloud security consulting services.
0 notes
perfectiongeeks1 · 2 years
Text
Tumblr media
0 notes
bestonemits1 · 2 years
Text
Tumblr media
Being a renowned cloud computing company, we offer a wide range of cloud computing solutions for your business needs. Our services are affordable, customized, scalable, and deployed under the guidance of experts.
0 notes
mdaagency · 2 years
Text
Top Cloud Computing Service Providers India
Mildain Digital Agency is the world's leading provider of enterprise open source solutions, including best-performing Linux, cloud, container, and Kubernetes technologies in India & USA.
1 note · View note
Text
DevOps vs. Agile, What’s the Difference
Do you know the Difference between DevOps vs. Agile? In any business, the aim is to deliver quality results within a stipulated time frame, making sure that it is relevant and acceptable for the customer and users.
Tumblr media
0 notes
imabukhalid · 2 years
Photo
Tumblr media
cloud computing company cloud computing service company different types of cloud computing best cloud computing services in dubai
0 notes
algooceantechno · 2 years
Link
Algoocean is the best Cloud Computing Company in Mumbai. You can use our Cloud Computing services for your existing projects or any future projects as well.
0 notes
Text
Cloud Migration Best Practices : A Comprehensive Guide
0 notes
codingquill · 7 months
Text
What is Cloud Computing ?
Tumblr media
Cloud computing has become a widely discussed topic in recent years, but explaining it in simple terms to someone without a background in computer science can be challenging. Allow me to break it down for you.
Cloud computing is a method of storing and accessing data and programs over the internet, rather than keeping them on your personal computer or mobile device. To illustrate this, let's consider online email services like Gmail or Outlook. When you use these services, you can access your emails from anywhere because they are stored in the cloud. This means you don't need to install any special software or save your messages on your hard drive. Instead, your emails are stored on remote servers owned by companies like Google or Microsoft. You can access them from any device connected to the internet, regardless of your location.
Understanding Servers in the Cloud
Now, let's delve into the concept of servers in the cloud.
The data stored in the cloud is saved on physical servers, which are powerful computers capable of storing and processing vast amounts of information. These servers are typically housed in data centers, which are specialized facilities that accommodate thousands of servers and other equipment. Data centers require significant power, cooling, security, and connectivity to operate efficiently and reliably.
Tumblr media
Microsoft and Google are two of the largest cloud providers globally, and they have data centers located in various regions and continents. Here are some examples of where their data centers are located, according to search results:
Microsoft has data centers in North America, South America, Europe, Asia, Africa, and Australia.
Google has data centers in North America, South America, Europe, and Asia.
45 notes · View notes
onixcloud · 1 year
Text
The digital workplace has become a central hub for many businesses, with more organizations embracing digital transformation to stay ahead of the competition. With the proliferation of technology and cloud-based software, Software as a Service (SaaS) has become an integral part of the digital workplace solutions. Onix, a leading provider of digital workplace solutions, has been at the forefront of this shift, helping businesses to adopt and implement SaaS solutions for their digital workplaces.
0 notes
perfectiongeeks1 · 2 years
Text
0 notes
aequitasinfotech · 2 months
Text
Powered by : Aequitas Infotech Pvt. Ltd.
Our website: https://aequitasindia.com/
Follow us on...
LinkedIn: https://www.linkedin.com/company/aequitas-infotech-private-limited/
Twitter (X): https://twitter.com/AequitasInfotec
Facebook: https://www.facebook.com/profile.php?id=61550565488254
Instagram: https://www.instagram.com/aequitas_infotech/
3 notes · View notes
wtfcl0ud · 3 months
Text
overlooked group of people who only know how to use a phone and not a computer are like 50 - 60 myb 70 year olds who wldve entered the workforce as relatively manual labourers be it in like construction the oil industry cleaners etc n stayed pretty much in that field and never had to do much interactions with computers in their professional life or personal life bc like they nvr did further studies etc. but bc they arent necessarily 'too old' to be a part of technological progress for e.g. like some persons 80+ esp sometimes bc of the age of their kids they do have smartphones n hv learnt to be just competent enough to get by with them but can't use a computer for nothing.
2 notes · View notes
jcmarchi · 5 months
Text
Open-Source Platform Cuts Costs for Running AI - Technology Org
New Post has been published on https://thedigitalinsider.com/open-source-platform-cuts-costs-for-running-ai-technology-org/
Open-Source Platform Cuts Costs for Running AI - Technology Org
Cornell researchers have released a new, open-source platform called Cascade that can run artificial intelligence (AI) models in a way that slashes expenses and energy costs while dramatically improving performance.
Artificial intelligence hardware – artistic interpretation. Image credit: Alius Noreika, created with AI Image Creator
Cascade is designed for settings like smart traffic intersections, medical diagnostics, equipment servicing using augmented reality, digital agriculture, smart power grids and automatic product inspection during manufacturing – situations where AI models must react within a fraction of a second. It is already in use by College of Veterinary Medicine researchers monitoring cows for risk of mastitis.
With the rise of AI, many companies are eager to leverage new capabilities but worried about the associated computing costs and the risks of sharing private data with AI companies or sending sensitive information into the cloud – far-off servers accessed through the internet.
Also, today’s AI models are slow, limiting their use in settings where data must be transferred back and forth or the model is controlling an automated system. 
A team led by Ken Birman, professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, combined several innovations to address these concerns.
Birman partnered with Weijia Song, a senior research associate, to develop an edge computing system they named Cascade. Edge computing is an approach that places the computation and data storage closer to the sources of data, protecting sensitive information. Song’s “zero copy” edge computing design minimizes data movement.
The AI models don’t have to wait to fetch data when reacting to an event, which enables faster responses, the researchers said.
“Cascade enables users to put machine learning and data fusion really close to the edge of the internet, so artificially intelligent actions can occur instantly,” Birman said. “This contrasts with standard cloud computing approaches, where the frequent movement of data from machine to machine forces those same AIs to wait, resulting in long delays perceptible to the user.” 
Cascade is giving impressive results, with most programs running two to 10 times faster than cloud-based applications, and some computer vision tasks speeding up by factors of 20 or more. Larger AI models see the most benefit.
Moreover, the approach is easy to use: “Cascade often requires no changes at all to the AI software,” Birman said.
Alicia Yang, a doctoral student in the field of computer science, was one of several student researchers in the effort. She developed Navigator, a memory manager and task scheduler for AI workflows that further boosts performance.
“Navigator really pays off when a number of applications need to share expensive hardware,” Yang said. “Compared to cloud-based approaches, Navigator accomplishes the same work in less time and uses the hardware far more efficiently.”
In CVM, Parminder Basran, associate research professor of medical oncology in the Department of Clinical Sciences, and Matthias Wieland, Ph.D. ’21, assistant professor in the Department of Population Medicine and Diagnostic Sciences, are using Cascade to monitor dairy cows for signs of increased mastitis – a common infection in the mammary gland that reduces milk production.
By imaging the udders of thousands of cows during each milking session and comparing the new photos to those from past milkings, an AI model running on Cascade identifies dry skin, open lesions, rough teat ends and other changes that may signal disease. If early symptoms are detected, cows could be subjected to a medicinal rinse at the milking station to potentially head off a full-blown infection.
Thiago Garrett, a visiting researcher from the University of Oslo, used Cascade to build a prototype “smart traffic intersection.”
His solution tracks crowded settings packed with people, cars, bicycles and other objects, anticipates possible collisions and warns of risks – within milliseconds after images are captured. When he ran the same AI model on a cloud computing infrastructure, it took seconds to sense possible accidents, far too late to sound a warning.
With the new open-source release, Birman’s group hopes other researchers will explore possible uses for Cascade, making AI applications more widely accessible.
“Our goal is to see it used,” Birman said. “Our Cornell effort is supported by the government and many companies. This open-source release will allow the public to benefit from what we created.”
Source: Cornell University
You can offer your link to a page which is relevant to the topic of this post.
2 notes · View notes