Built-to-suit, designed for AI
Ingenuity is a next-generation data center solution built for the world’s most demanding cloud and AI/HPC data center customers. We enable HPC, AI Training, and AI Inferencing workloads, which are foundational in this generational shift to Artificial Intelligence. Our highly flexible designs support 300+ kW/rack for dedicated workloads and mixed workloads for AI/HPC – all within the same data center. This includes accommodating power density and various cooling requirements for GPU, CPU, storage, and AI networking equipment.
EdgeConneX is a global leader in AI data center development and already supports the most advanced AI deployments worldwide. These represent the highest-density commercially available workloads leveraging GPU and CPU from NVIDIA, AMD, and Intel. Ingenuity customers include the industry’s largest AI providers and their respective applications, including AI Cloud and Large Language Model (LLM) Training, as well as some of the most significant AI Inferencing deployments in the world.
Ingenuity is defined as aptness of design. Our AI-enabled data center solution has been cleverly designed in close collaboration with our AI and Hyperscale customers, partners, and supplier ecosystem. The design has been created to ensure operational excellence and high performance, and it is future-proofed to ensure your investment in AI servers and equipment is maximized and protected. We collaborate with Industry thought leaders from the leading data centers, industry standards bodies, and chip and server manufacturers to ensure high-quality design, future product roadmaps, and best-in-class operations so we can ensure and maximize your AI investment. In addition, we have been an early NVIDIA DGX-certified partner, collaborating with NVIDIA on the AI journey.
At EdgeConneX, we work closely with today’s AI leaders to ensure your AI Investment is protected and maximized. We can support the densities required for today and the next generation of chips and provide best-in-class performance and operations.
Ingenuity’s built-in design features allow us to accommodate today’s AI power density and cooling requirements and flex and scale up to meet tomorrow’s AI needs. EdgeConneX can enable high power densities of up to 300kW+ per rack in our data center locations. We’ve designed our Ingenuity solutions to easily scale up those capabilities as AI/HPC technologies evolve and advance.
From hyperlocal edge facilities ideal for AI inferencing to hyperscale campuses meant for large AI training deployments.
Scalable Land, Power, Capacity, and Density means we can sustainably support what our customers want, at the scale they want, and in the markets where they need capacity.
A flexible design that can meet today’s requirements and scale for tomorrow’s needs – supporting air, water, or immersion technologies ensures a future-proofed data center design.
A long-standing NVIDIA DGX-certified partner: Our close collaboration with NVIDIA means we are prepared to support the densities of the latest chips and the capacity needed to support AI customers.
We are already supporting leading AI and Hyperscale customers with high density solutions in multiple markets around the world.
Actively view your AI/HPC deployment with our proprietary platform for real-time remote management and monitoring.
EdgeConneX is at the forefront of data center innovation, constantly adapting to the rapid changes brought about by AI and High-Performance Computing (HPC) technologies. Our focus is on meeting our customers’ ever-evolving needs, delivering what they want, at the scale they want, and in the markets where they need capacity. We are continuously exploring new ways to address the high-density requirements of today’s AI and Machine Learning (ML) applications, providing tailored, high-density data center solutions that scale as business needs grow over time.
Partner with EdgeConneX and our wide range of high-density data center solutions to help future-proof your evolving AI and HPC deployment needs for now and in the years to come.
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