AI is revolutionizing the way we live and work, bringing unprecedented opportunities for innovation and development. For companies looking to harness the power of Artificial Intelligence (AI), properly managing their IT infrastructure requirements is crucial to success. But how many such companies have dedicated AI servers?

The premise is that running applications that integrate Machine Learning (ML) algorithms, Artificial Intelligence or other adjacent technologies requires high computing power and scalability, difficult to achieve with traditional IT infrastructure. Furthermore, hosting such equipment on-premises adds an additional level of complexity and cost, which can negatively impact project outcomes. Statistics support these trends. To understand the magnitude of the phenomenon, we need to consider that the global market for specialized hardware (AI servers) was just over $10 billion in 2021. This figure is expected to grow to $90 billion by 2030.

The new AI servers in the M247 range are the most suitable choice for companies that require equipment with high processing power, specially configured to handle demanding AI and Machine Learning workloads. The lack of upfront investment, powerful configurations, high scalability and subscription accessibility enable the rapid development, testing and production of any AI-based applications.

Arguments for cloud infrastructure

AI startups, as well as mature companies developing AI-based applications, face many challenges, from developing sophisticated algorithms to the need to scale their solutions to meet growing demand. A study by MIT Sloan Management shows that, globally, 9 out of 10 organizations believe that AI will bring them a competitive advantage and are prioritizing AI investments.

In this fast-changing landscape, agility and flexibility are key differentiators. Although building and managing an in-house IT infrastructure may seem like a logical choice, reality shows us that it is not the ideal option, in terms of cost and administration.

The initial capital investment required to purchase servers, storage and networking equipment can be huge, especially for startups with small budgets. In addition, the ongoing costs associated with maintenance, security, and updates can quickly add up, consuming valuable resources, diverting attention from the core goals of projects.

Companies developing AI-based applications are increasingly turning to cloud computing and Infrastructure as a Service (IaaS) providers to ease the burden of infrastructure management. By leveraging cloud-based solutions, AI startups can access a variety of resources on a pay-as-you-go basis, eliminating the need for large upfront investments. This subscription-based model allows startups to scale their infrastructure quickly in response to ever-changing business needs, ensuring consistent performance and efficiency.

Specialized AI servers for improved performance

One of the key benefits of partnering with a cloud provider like M247 is access to AI servers tailored to the unique demands of ML and AI workloads. These AI servers are preconfigured for applications such as: voice and facial recognition, object detection, sentiment analysis, NLP (Natural Language Processing), anomaly detection, automated stock trading, real-time decision making, reinforcement learning, etc.

In addition, M247 AI servers are optimized for specific AI frameworks and libraries, such as TensorFlow, PyTorch, and MXNet. By leveraging preconfigured environments and software stacks, startups can simplify the development and deployment of AI applications, reducing time-to-market and improving productivity.

Unlike traditional servers, which may lack the computing power and accelerators needed to handle ML and AI algorithms, AI servers are built to deliver exceptional performance and efficiency. Equipped with GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), these servers excel at processing large data sets and performing complex calculations, allowing companies with an interest in AI to significantly accelerate model training tasks.

M247’s Enterprise Class AI Servers, delivered from a Tier 3 Data Center, are based on professional NVIDIA GPU AI nodes and extensive memory resources. They use the latest NVIDIA technology (2 x PCIe RTX A5000 with 24 GB GDDR6 and 10 GPUs each) and support a wide range of AI libraries, including TensorFlow, PyTorch and MXNet. Multiple nodes can be grouped together to form larger compute clusters, providing scalability for projects of any size.

Global presence for increased accessibility

Today, geographic boundaries are becoming increasingly irrelevant, and for AI startups that want to expand and tap into new markets, it’s essential to have a global presence. However, delivering AI solutions to customers in different regions comes with a new set of challenges, especially in terms of latency and performance.

By partnering with M247, a cloud provider with a global network of data centers, startups can overcome these challenges and ensure an optimal experience for users in various geographic locations. By deploying AI workloads closer to end users, startups can minimize latency and improve responsiveness while improving overall quality of service. Additionally, a distributed infrastructure allows any company that expands regionally to comply with data sovereignty regulations and address privacy issues, giving them a competitive advantage in today’s increasingly regulated environment.

Cloud infrastructure powers the future of Artificial Intelligence

In conclusion, the success of an effort to develop, test and put into production an application based on Artificial Intelligence depends a lot on the computing capacity and the power of the IT infrastructure. The traditional approach of using an on-premises IT infrastructure can limit such projects. On the other hand, outsourcing dedicated AI servers to a cloud computing provider unlocks a number of benefits, including cost savings, increased performance, and global scalability. Using specialized AI servers optimized for machine learning workloads and benefiting from a global presence spanning multiple regions, companies developing Artificial Intelligence applications can successfully position themselves in an ever-evolving market.

What’s more, these companies can focus their attention and resources on what they do best – innovating and pushing the boundaries of AI – leaving the complexities of infrastructure management to the experts. Together, we can shape the future of AI and usher in a new era of technological advancement and opportunity.

Our AI server offering is accessible on the M247 website. To help you better understand the performance of our new cloud servers, we invite you to participate in test sessions for both standard and custom configurations. Contact us at the email address

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