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Digital Realty and Vultr Team Up to Provide Global AI Infrastructure for Businesses
Digital Realty and Vultr have partnered to provide secure, high-performance AI infrastructure to businesses globally.
Key Highlights:
- The partnership combines Vultr's GPU-accelerated cloud with Digital Realty's global network of over 300 data centers.
- This collaboration brings AI workloads closer to where enterprise data is located, improving speed and security.
- High-density GPU clusters, powered by NVIDIA and AMD chips, offer immediate access to essential computing resources.
- The joint solution uses Digital Realty's ServiceFabric to ensure secure, low-latency connectivity for AI applications.
- The offering is flexible, scalable, and helps businesses meet data compliance and sovereignty requirements.
The News
Digital Realty, a global provider of cloud- and carrier-neutral data center, colocation, and interconnection solutions, announced a strategic partnership with Vultr, a privately-held worldwide cloud infrastructure company, to deliver enterprise-ready, GPU-accelerated AI infrastructure across key global markets. For more information, read the Digital Realty press release.
Analyst Take
Digital Realty and Vultr are partnering to provide businesses with secure, high-performance AI infrastructure around the world. By combining Vultr's GPU-accelerated cloud with Digital Realty's global data centers, the collaboration prioritizes enabling organizations to run AI workloads faster while meeting security and compliance requirements. This partnership also includes direct integration with Digital Realty's ServiceFabric and AI Private Exchange (AIPx) for secure, low-latency connectivity across different IT environments. Moreover, Digital Realty's portfolio is underpinned by its PlatformDigital, which is a global data center platform designed to provide a trusted foundation for enterprises to scale their digital businesses by hosting critical infrastructure and interconnecting digital ecosystems around the world.
Vultr has deployed its high-density GPU clusters, which use NVIDIA HGX B200 and AMD Instinct MI325X chips, onto Digital Realty’s global data center platform. This makes high-performance computing resources available for AI workloads in key markets like Atlanta, Dallas, London, San Francisco, and Singapore, with more deployments coming in Frankfurt, Mumbai, Sydney, and Tokyo. This partnership ensures that organizations have low-latency access to the computing power they need, right where their data is located.
We find that this collaboration offers several key benefits for businesses. It provides immediate access to GPU resources through a direct connection via ServiceFabric, allowing for the instant deployment of AI workloads in environments pre-validated for training, inference, and generative AI. The localized infrastructure also helps companies meet data compliance and sovereignty requirements in different regions. Additionally, the partnership provides the flexibility of a consumption-based model, enabling organizations to scale their AI infrastructure seamlessly without long-term contracts or vendor lock-in.
Key Ecosystem-wide Benefits of the Partnership
I find that a primary goal of this collaboration is to bring powerful AI infrastructure closer to where data resides. By using Digital Realty's extensive network of over 300 data centers, businesses can deploy their AI workloads with enhanced speed, security, and compliance. This approach eliminates the need for data to travel long distances, which can be critical for time-sensitive applications.
The combined solution offers immediate access to high-performance computing through high-density GPU clusters. This infrastructure is essential for demanding AI tasks such as training, inference, and generative AI. These clusters are powered by cutting-edge chips like the NVIDIA HGX B200 and AMD Instinct MI325X, providing the necessary horsepower for even the most complex workloads.
The integration is designed for low-latency interconnection, facilitated by Digital Realty's ServiceFabric. This technology allows for secure, high-speed connectivity between the data centers and Vultr's cloud, which is vital for AI applications that depend on fast data transfer and processing. A key part of this is the AI Private Exchange (AIPx), which establishes secure connections for hybrid cloud environments.
This collaboration also prioritizes flexible and scalable solutions. Customers can scale their AI capacity using a consumption-based model, which helps them avoid long-term commitments and the complexity of building their own specialized AI environments. This makes high-performance AI infrastructure more accessible and affordable for a broader range of businesses. Finally, the partnership's design helps companies address compliance and data sovereignty requirements by keeping AI workloads and data within specific regional boundaries.
Looking Ahead
I believe the Digital Realty Vultr alliance can bring AI infrastructure directly to where enterprise data is located. By combining Vultr's cost-effective, high-performance model with Digital Realty's extensive global data center platform, PlatformDIGITAL, they are enabling immediate access to AI infrastructure. This collaboration allows businesses to deploy Private AI - a solution that is close to their data, adheres to compliance regulations, and avoids the complexity of building custom environments. As a result, this reliable foundation helps customers focus on achieving their AI goals at scale.
Over the next 12 months, Digital Realty and Vultr can advance their partnership's strategic goals by focusing on three key areas: expanding their global footprint, enhancing technical integration, and deepening market penetration. They have already launched their joint offering in key digital hubs like Atlanta, Dallas, London, and Singapore, and their immediate roadmap includes additional deployments in Frankfurt, Mumbai, Sydney, and Tokyo. By rapidly activating these new locations, they will bring their GPU-accelerated AI infrastructure to more global enterprises, particularly those with data sovereignty and compliance requirements in different regions.
On the technical side, they will continue to enhance the direct interconnection through Digital Realty's ServiceFabric and the AI Private Exchange (AIPx), ensuring that the combined solution offers the lowest possible latency for demanding AI workloads. Finally, by targeting enterprises that need to scale AI without the complexity and capital expenditure of building their own environments, the partners can solidify their position as a trusted alternative to hyperscalers, particularly for companies that value a consumption-based model and the flexibility of an open, hybrid cloud ecosystem.
Ron Westfall | Analyst In Residence
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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Steven Dickens | CEO HyperFRAME Research
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the CEO and Principal Analyst at HyperFRAME Research.
Ranked consistently among the Top 10 Analysts by AR Insights and a contributor to Forbes, Steven's expert perspectives are sought after by tier one media outlets such as The Wall Street Journal and CNBC, and he is a regular on TV networks including the Schwab Network and Bloomberg.