Cloud Computing – The Backbone of Generative AI

AI is all the buzz right now, with people and industries worldwide using it to create completely new kinds of content with simple text prompts. Generative AI has enabled the creation of everything from catchy slogans and informative blogs to wacky images and realistic videos. As more and more people are using AI, organizations are also coming in with their generative AI programs, opening up new possibilities every day! But have you ever thought about how these Generative AI programs can generate completely new articles, voices, images, and videos from scratch? The thing that has made it possible for us to benefit from the wonders of generative AI is cloud computing!

What is Cloud Computing?

As a popular term, cloud computing is often used interchangeably with cloud storage and cloud networking. However, cloud computing is a broader term. It refers to the on-demand access to the computer’s resources without having physical access to the computer itself. These resources are generally made available to a customer over the Internet, and include things like storage, computing power, databases, analytics, software, and others. The efficacy of cloud-based solutions is such that a Gartner study predicts that enterprises will be spending more on public cloud solutions than on traditional IT solutions by 2025!

But why would someone not want to have their computer right beside them where they could have physical access to their own machine as well? Let’s find out!

What is Generative AI?

Generative AI is a category of Artificial Intelligence that can create a multitude of content, including photos, videos, written content, audio content, and others. These Artificial Intelligence programs are powered by large machine learning models to learn patterns from large data sets, which they then use to generate new content. In addition to generating new content, generative AI programs including large language models can also do other tasks, such as classification, summarization, and simulating real-world scenarios such as interviews, etc.

As AI programs such as ChatGPT, Dall-E, and Midjourney have become extremely popular, they have been used to create everything from blogs and edgy captions, to artistic images and captivating videos, right from scratch, with nothing but simple text prompts.

How does Generative AI leverage cloud computing?

Generative AI is not just the programs that we see today. They are instead layers of code written to work together and learn from inputs to deliver the outputs that we see today. However, for the code to deliver the desired outputs, it has to be trained on tons and tons of data to ensure that it gives the expected results. As an example, the machine learning model behind GPT-3 was trained on 45TB (Terabytes) or 45000GB (Gigabytes) of text data This is where cloud computing comes in!

Cloud computing solutions provide both the computing power and the immense amount of data the generative AI models are trained using before they are rolled out to the public. Additionally, while generative AI programs can and sometimes do run on local hardware, cloud computing provides the opportunity for generative AI programs to be run on basic, low-power systems without any hiccups, allowing the masses to have access to Generative AI’s capabilities.

As the AI models become more advanced and require more data and processing power, cloud computing can offer a viable solution to scale up processing power, data storage, and fast networking capabilities.

What does the future of Generative AI and cloud computing look like?

As technology keeps advancing and an ever-increasing number of people and organizations explore new possibilities using Generative AI programs, organizations are evolving these programs to enable them to produce even more accurate and realistic outputs. With the technologies and ML algorithms behind generative AI programs getting more advanced by the day, generative AI programs that are just around the corner are expected to completely eliminate the current issues that existing generative AI programs struggle with, including conversation length and hallucinating errors.

As these programs evolve, so do their requirements of even greater computing power, higher storage needs, larger datasets, and faster networking capabilities to access data and disseminate their creations nearly instantaneously. This is why Cloud computing is heralded as the backbone of the rise of Generative AI solutions!

How Digile leverages cloud computing to power industries

At Digile, we have years of experience in helping our clients achieve ever-higher productivity, cost savings, and profitability numbers by leveraging our expertise in cloud solutions and their implementation.

Over the years, Digile has helped over x number of clients get on the cloud successfully!

We have a deep understanding of the market’s needs and understand that all organizations have their own specific needs according to which a cloud strategy must be tailored. That is why, we follow a well-tested and thorough process to get all of our clients on the cloud and help them get the maximum ROI from their transition to the cloud.

Explore how we could help you get on cloud nine with your cloud implementation!

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