What Are Neoclouds and Why Are They Growing?

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Neoclouds is a new generation of cloud computing providers especially built to support Artificial Intelligence and high-performance computing (HPC) workloads. 

As AI is emerging, it requires powerful computing infrastructure, especially GPUs. While traditional cloud providers like AWS, Microsoft Azure, and Google Cloud do offer everything that is needed to run AI infrastructure, they were not enough- something was missing, and that’s when Neoclouds were born. It is a new type of cloud provider that provides access to high-performance graphics processing units (GPUs) and AI infrastructure. 

Training AI and ML models requires a high GPU. Unlike a CPU, which manages tasks one after another, a GPU can perform and manage thousands of calculations simultaneously, making it useful to train AI models.  

What are Neoclouds 

Neoclouds is a new-generation cloud computing provider, built for AI-focused companies and to provide access to powerful computing (GPUs). 

Unlike traditional cloud providers, which support an entire ecosystem of computing workloads, Neoclouds specializes primarily in offering large-scale GPU infrastructure for training AI models. 

As AI continues to evolve, many AI-focused businesses need a dedicated cloud provider that can help them run AI workloads and provide powerful AI infrastructure, and that’s what Neoclouds helps with.

Why are Neoclouds growing?

Instead of an AI company buying thousands of GPUs, it can use Neoclouds and rent GPU infrastructure and only pay for the resources they use. Sounds like a win-win situation to me. This way, AI companies do not have to buy expensive GPUs, build data centers, and manage everything.

Usually, to handle large amounts of computing power and build and train AI models, AI companies have to buy expensive servers and GPUs, build data centers, and manage everything, which is costly and requires extensive maintenance. 

Unlike Traditional cloud providers that focus on various things like computing, storage, databases, security, and networking, AI companies simply want a cloud provider whose sole basis is to rent you access to high-performance graphics processing units (GPUs) used to train and run AI models. Instead of buying 100 of these GPUs, companies can simply rent computing infrastructure and expensive GPUs and only pay for what they use.

Neoclouds are usually low in cost, can help with GPU shortages, and provide access to high-speed computing resources that traditional cloud providers failed to offer, making it the best option for businesses looking for cloud modernization services.

Some of the major Neoclouds in the market are CoreWeave, Lambda, Crusoe, Nebius, Nscale, Voltage Park, Together AI, and RunPod. These are some of the growing companies whose focus is to provide AI cloud infrastructure and GPU computing.

Why does AI need Neoclouds? 

There is no doubt that AI is taking over multiple industries, from self-driving cars and robotics to gaming, healthcare, and finance; every business wants to incorporate AI as a core component and not an add-on feature. And it requires training large AI models, which takes a long time. But not with Neoclouds; it offers access to Large-scale GPU infrastructure and a huge amount of computing power to train large AI models.

Have you ever wondered how ChatGPT can run hundreds of codes, answer users instantly, and handle millions of users easily? Well, it uses specialised GPUs and scalable infrastructure optimized to handle AI workloads. 

What Makes Neoclouds Different? 

Neoclouds is described as high-speed, high-processing power, affordable, and flexible. 

If you run an AI-driven firm, you must constantly need to train and handle AI workloads, which requires top-tier GPUs. While hyperscalers do offer GPU infrastructure, the cost of running large-scale AI workloads can skyrocket. But Neoclouds are designed specifically to support AI developers by providing access to high-performance graphics processing unit (GPU) infrastructure. 

So, now the question is: if traditional cloud providers already offer support for GPUs, then what makes Neoclouds different? The answer is Specialization. Neoclouds are GPU-first clouds designed especially for AI training rather than offering a wide range of computing services. Neoclouds are more cost-effective, powerful, and AI-focused than hyperscalers. 

What are the Benefits of Neoclouds?

AI Startups and compute-heavy enterprises can benefit from specialized high-performance GPU infrastructure at relatively low cost. As a data engineering company, DevsTree helps AI-driven businesses collect, process, and analyze large volumes of data needed to train AI and ML models effectively.

Neoclouds can be more cost-effective as its core focus is on providing high-performance GPU infrastructure. Businesses that work within the AI industry or are looking to build an AI-powered app can use Neoclouds to access GPU infrastructure without managing their own data centers and only paying for the services they use. 

Will Neoclouds Take Over Hyperscalers?

The answer is simply no. The reason behind the boom of Neoclouds is that more companies are looking to develop an AI-focused brand. Using AI only as a feature is not enough; now brands want to build an app with AI being its core component. When you hear AI, it means handling large amounts of data and running complex tasks at once, which requires powerful GPUs (AI chips) and specialised infrastructure capable of running thousands of calculations simultaneously and training AI models efficiently in minimal time. But that doesn’t mean it can replace Hyperscalers. 

Neoclouds cannot offer every service that other cloud providers, AWS, Azure, or Google Cloud do. Instead, Neoclouds focuses only on one thing: offering access to powerful computing at a lower price than hyperscalers. It cannot replace hyperscalers but instead becomes a backbone for companies that need an easy, affordable, and AI-focused cloud provider.

One cloud? Think again

We suggest not sticking to just one cloud provider. Who says business can only use one cloud provider? Each cloud provider offers a specialized set of services that can benefit companies in different ways. 

Let’s say, for storing files and databases, companies can use traditional cloud providers like AWS, and to gain access to powerful GPUs to train AI models, they can use CoreWeave; this is called following a multi-cloud strategy.

The Multi-cloud strategy can help both Neoclouds and hyperscalers both while giving businesses everything they require for their workloads.