Advanced Solutions

Trends Driving a Modernized IT Infrastructure 

04-21-2025 14:25

By: Sarah Leitner , Partner Enablement Manager, Cloud, TD SYNNEX 

       Renata Sandler, Partner Enablement Manager, TD SYNNEX

As organizations move to optimize and scale their IT infrastructure, IT modernization is no longer optional—it’s essential for organizations seeking to remain competitive. Value-added resellers (VARs) and managed service providers (MSPs) must be able to not only provide their customers with a modern IT environment but also guide them toward choosing the appropriate options based on their business needs. 

Let’s explore a few of today’s most popular IT modernization trends:

Decentralizing IT resources for a modern infrastructure. 

For most organizations, the old way of setting up a network—sticking a server in a closet in your customers’ offices and locking the door—just doesn’t work anymore. For growing organizations especially, a decentralized data architecture is going to be a preferred option. Decentralized architecture spreads the ownership of data across multiple platforms (versus keeping them all in one place) through data mesh or data fabrics. This allows for faster scalability as teams grow.

Another way organizations are modernizing their networks is through hybrid cloud, which uses on-premises data center(s) and a cloud environment(s) in a network architecture.

According to Mordor Intelligence, hybrid cloud has become the top choice for many organizations, with the market estimated to reach more than $158 billion this year alone and $430 billion by 2030. The rise of hybrid cloud can be attributed to a few factors, particularly around cybersecurity and data resilience—along with cost and operational efficiencies.

By spreading data across on-premises and cloud locations, you can protect against extended downtime in the event of an incident. This also may be a requirement if you’re working with customers in highly regulated industries.

Hybrid cloud environments can also be more cost-efficient, though this requires you to put in the work of understanding your customers’ data and application usage. For example, a distributed cloud environment that’s easily accessible for employees may work better for frequently used applications and data. It may be more cost-efficient for cold storage and less frequently used applications to live on a private cloud or data center environment.

Paving the way for AI.

As organizations navigate AI modernization, two transformative technologies are driving the evolution of data centers: generative AI and edge computing. Generative AI requires immense computational power, making cloud-based processing cost-prohibitive for some organizations. This is driving a shift toward on-premises and hybrid environments to optimize performance and costs while maintaining control over AI workloads. Meanwhile, edge computing is revolutionizing AI-driven applications by processing data at the source. Offloading compute-intensive tasks, such as computer vision applications, to the edge reduces cloud expenses, lowers bandwidth consumption, minimizes latency and enables real-time decision-making critical for industries like healthcare, manufacturing and retail. Additionally, the rise of generative AI is increasing demand for advanced workstations and AI-powered computers. Researchers, developers and business professionals require high-performance systems capable of managing large datasets and complex computations, further driving innovation across industries.

Generative AI is also reshaping business processes by automating content creation, streamlining workflows and enhancing customer experiences. In 2025, its impact will continue to expand, delivering operational efficiencies and enabling broader deployment of AI agents and workflows. For further insights, read the What’s Next in Tech: 5 Predictions for 2025 report.

Through our comprehensive Destination AI™ program, TD SYNNEX provides tailored enablement, pre-validated AI solutions and services and robust ecosystem support. To align with partners at every stage of their AI journey, we have segmented our framework into three tiers—AI Aware, AI Ready and AI Expert—based on the complexity of AI technologies, product requirements and the specialized expertise needed to implement them. This structured approach ensures partners can successfully adopt and deploy AI solutions that match their strategic goals.

Whether optimizing edge data workloads or implementing productivity-enhancing AI models, TD SYNNEX empowers businesses with the expertise and ecosystem support needed to stay competitive in an evolving digital landscape.

Want to learn more about these and other high-growth technologies?  

Join us in Los Angeles in May at our High-Growth Conference, where we will be covering the trends and more in the areas of cybersecurity, cloud, data, AI and modern infrastructure. Learn more and register at our event registration site.

Related Entries and Links

No Related Resource entered.