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Tell us about your infrastructure requirements and how to reach you, and one of team members will be in touch shortly.
Let us know which data center you'd like to visit and how to reach you, and one of team members will be in touch shortly.
The proliferation of AI applications gives rise to questions about neural networks and the data centers that enable them.
Even when compared to past technology innovations and the resulting leaps they enabled, AI and ML are quickly disrupting and transforming so many business processes and disciplines. One of the most revolutionary innovations in AI today is the concept of neural networks.
Yet, like so many other quickly evolving technologies, neural networks can often be misunderstood. This is especially true when it comes to what they are and the benefits they can provide. To help, we’ll offer a closer look at neural networks and describe why data centers are uniquely positioned to power them – now and into the future.
Simply put, a neural network is a series of algorithms inspired by the structure of the human brain. Neural networks identify underlying relationships in data by mimicking certain brain functions. In the same way that we learn from past experiences, neural networks recognize patterns in data, adapt to training and new inputs, and continue to improve over time.
Traditional algorithms follow a deterministic approach – which means they will render the same output for the same input. Unlike traditional algorithms, neural networks work probabilistically. In this case, they integrate randomness, ambiguity, and imprecision into decision-making reasoning that combines probability theory with logic theory to manage uncertainty.
Neural networks can also handle increasingly complex patterns. This is further proof that their sophisticated learning capabilities are superior to other AI counterparts.
Data centers can play a vital role in implementing and supporting neural networks with the following characteristics and capabilities:
When specifically designed for neural networks, data center environments can provide scale and sophistication that exceed conventional on-premises IT environments. Additionally, other variables – high bandwidth networking, GPU-inclusive servers, specialized infrastructure, edge computing, and effective power and cooling options – are ideal in supporting neural networks in the future.
Neural networks represent a fundamental shift away from traditional computing and have the potential to create a whole new paradigm of problem-solving. Bridging this gap and enabling such a transformative technology now requires the power, capacity, and versatility of modern data centers.
As AI and ML continue to evolve, so too will the role of data centers in enabling and then sustaining this evolution. It’s an exciting development, and we’re proud of the role our data centers can provide as we all venture further into the age of AI.
Discover the DataBank Difference today:
Hybrid infrastructure solutions with boundless edge reach and a human touch.