CoreSite has been certified as part of the NVIDIA DGX-Ready Data Center program to host scalable, high-performance infrastructure for organizations looking to capitalize on rising demand for artificial intelligence (AI), machine learning (ML) and other high-density applications.
By choosing to host their NVIDIA DGX™ infrastructure with CoreSite, customers can benefit from a national portfolio of high-density-powered data center campus environments for NVIDIA AI and high-performance computing at CoreSite locations including Los Angeles (LA3), Silicon Valley (SV9), Chicago (CH2) and Northern Virginia (VA3).
“The exponential growth of AI and other emerging applications has increased the need for highly interconnected, purpose-built data centers to meet the growing demands for IT, power and cooling infrastructure,” said Juan Font, President and CEO of CoreSite, SVP of American Tower. “Our certification as an NVIDIA DGX-Ready Data Center program partner will enhance CoreSite’s ability to deliver the data center space, advanced cooling and ultra high-density power requirements customers need while making it easier for them to deploy advanced technologies and bring their innovations to market.”
As AI adoption accelerates, CoreSite data centers serve as hubs for interconnection, providing broad and efficient access to the data sources that are training AI models. From flexible low-latency networks, interconnection and cloud networking options to power and cooling sufficient to support the operating requirements of AI infrastructure, CoreSite’s network-dense data centers can serve as a funnel for data produced at every end point, by every connected device.
CoreSite’s data centers also are environments where leading enterprises can operationalize AI technologies such as:
- Deep learning that requires scale, data access and GPU-class performance
- Data science applications that use machine vision, natural language processing, ML and data processing application programming interfaces (APIs)
- Process modernization related to administration, operations and collaborative research and development
CoreSite customers include AI experts and innovators who are implementing AI in their business models today, leveraging high-density, high-performance, reliable and secure data centers combined with digital ecosystems consisting of carriers, platform providers and IT services providers. Current CoreSite customer AI use cases include:
- Autonomous vehicles and driverless delivery systems
- Software solutions offering real-time development platforms for companies in gaming, media and entertainment, general enterprise, manufacturing, government and more
- Entertainment streaming services making individually tailored recommendations and building customized playlists
- Drug discovery, preventative medicine and advanced diagnostics
The Latest
Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...
A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...
What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...
In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...
In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions....
There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...
IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...
In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ...
In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...