The potential of artificial intelligence (AI) has come sharply into focus. Actualizing this potential for your business depends on an infrastructure capable of the high-density power, high-performance compute, and low-latency cloud and digital ecosystem interconnection. Much of the buzz around AI is about data. While it’s true that Internet of Things (IoT) devices, machine learning (ML), generative AI and other AI technologies involve unprecedented data volumes, we can’t lose sight of the fact that AI applications learn and make inferences from generated data. Data management and data integrity are keys to smarter, more accurate and more useful AI technologies that can accelerate your business initiatives.
The Incubators for AI
Data centers like CoreSite are hubs for interconnection, providing broad and efficient access to the data sources that are training AI models. CoreSite’s network-dense data centers serve as a funnel for data produced at every end point, by every connected device. They are also environments where the universe of AI users can operationalize AI technologies. Developers, researchers, data scientists and other AI users have common, as well as unique, requirements that fit naturally in our data center environments.
- Flexible low-latency networks, interconnection and cloud networking options
- Variable capacity capabilities to develop AI applications that support unique business goals and use cases
- Power and cooling sufficient to support the operating requirements of AI servers
1Future of Industry Ecosystems: Shared Data and Insights, IDC, 2021
A Vision for the AI-Enabling Data Center Ecosystem
An ecosystem of data centers spanning on-premises, edge, colocation and hyperscale – storing, processing and sharing data between optimally distributed AI workloads – will provide a variety of data center resource options. Edge-to-core networks will tie the architecture together. AI also opens the possibility for digital platforms to bring AI-enhanced offerings to market. For example, more than 70% of IT service providers said their organization has already deployed AI or will be deploying AI within one year in each of the following areas: IT and cloud operations, network operations and network planning2.
Industries Actively Leveraging AI
Many organizations recognize AI’s potential and are either using or plan to use AI, or are providers that facilitate AI access. Among the vast array, a few use cases rise to the top of the list:
Public Cloud Providers. Enabling ML deployments requiring immense scale and data access
Data Science Providers. AI-driven software applicable in multiple industries designed to take advantage of machine vision, natural language processing, ML, and data APIs
Media and Entertainment (M&E) Enterprises. Streamlining workflows, cutting production costs and remonetizing existing assets
Infrastructure Providers. Leveraging AI to improve high-performance (GPU driven) applications
AI Application Developers. AI-driven cloud computing support for building and scaling AI-driven applications in all industries
ML, Deep Learning, NLP Facilitators. Providing GPU-class performance on commodity CPUs or cloud-based AI resources
Enterprise R&D. Tackling genomics, biomedicine and multiple other universal challenges that, if solved, have the potential to be world-changing
EdTech. Solving burnout and retention issues, cutting operational costs and streamlining admissions and administration, fostering collaborative R&D in edtech
At CoreSite, our clients are the AI experts and innovators. They are implementing AI in their business models today, leveraging the core strengths of the company – high-density, high-performance, reliable and secure data centers, and vibrant digital ecosystems consisting of carriers, platform providers and IT services providers. A few industry examples we see include:
Automotive company developing autonomous vehicles and driverless delivery systems
2Artificial Intelligence: Charting the Way Forward for AI: 2022 Survey of IT Leaders and Service Providers on AI Deployment, Heavy Reading, 2022
Software solutions provider offering real-time development platforms for companies in gaming, M&E, general enterprise, manufacturing, government and more
Entertainment streaming services making genre and artist recommendations and building playlists customized to individual listener preferences
Drug development enterprise offering advanced neuroimaging capabilities for biopharmaceutical companies, clinical research organizations, marketing organizations and patients
Data Centers are the Foundation Needed to Build an AI Future
CoreSite is an AI accelerator, providing data centers purpose-built for the high-density power, high performance compute, and cloud and digital ecosystem interconnection AI demands. Organizations specialized in AI-scale data transport and AI-specific services can rely on CoreSite for the customization, interconnection, reliability, scalability and digital ecosystem they need to develop solutions today and continuously evolve their core competencies as AI matures.
