The Rise of AI
"Getting cloud and Data Center Infrastructure AI Ready"
Royal Lancaster London, 20th June 2024
Join us for ‘The Rise of AI: Getting Cloud and Data Center Infrastructure AI Ready,’ where we delve into the transformative power of artificial intelligence in shaping the future of cloud computing and data center infrastructure. This dynamic event will feature insightful discussions and practical insights on how organizations can prepare their infrastructure to harness the full potential of AI. From optimizing cloud architectures to enhancing data center capabilities, our agenda will explore key strategies and best practices for ensuring that your infrastructure is primed for AI-driven innovation. Don’t miss this opportunity to stay ahead of the curve and unlock the possibilities of AI in your organization’s digital transformation journey.
08:30am - 09:15am
Registration Open, Coffee and Networking
09:15am - 09:20am
Welcome and Introduction to the Day from Digital Infra Network
09:20am - 10:00am
Navigating the Impact of AI Expansion: Challenges and Strategies in EMEA Data Centers
AI is driving unprecedented industry growth; this surge in capacity is placing unparalleled demands on the data center sector. Multi-hundred MW sites are becoming the new standard for hyperscale operators, attracting significant private equity and investment to fund the increased demand. How will the industry cope with this rising demand for powered land, MEP infrastructure, and how will this impact the sector’s sustainability commitments? This session sets the stage for the day, aiming to address the challenges confronting the builders and consumers of AI and explore issues related to hardware supply, data center design, power infrastructure, and the high-capacity connectivity of these “AI Factories,” representing the data centers of the future.
How can traditional enterprises and mid-level operators guarantee their access to this market and maintain relevance amidst the ongoing industry transformation?
09:50am - 10:20am
Rethinking the Future Landscape of Edge Data Centers
As AI infiltrates every industry, what will be the impact on Edge Data Center operators? While the training of large language models is destined for larger facilities, inferencing is expected to shift towards the edge, particularly within metro data centers. How will catering to these emerging Generative AI Workloads change traditional approaches to designing, constructing, and operating metro facilities? What will determine their locations, and how will these centers navigate the complexities of power and cooling in response to evolving AI demands? This session aims to unravel the intricate ways in which AI is reshaping the future landscape of edge data centers.
Not every data center operates at a hyperscale level. How can you capitalize on this shift and align with the evolving landscape, regardless of the type of enterprise or industry you belong to?
10:15am - 10:45am
Could the advent of AI factories usher in a new era dedicated to energy-efficient computing and the establishment of increasingly sustainable data centers?
While Moore’s Law has long been the driving force behind the evolution of computing and modern data centers, we now require a shift in approach. Engineers can no longer rely on packing more transistors into the same space with the same power, necessitating a paradigm shift towards achieving more with less.
Next-generation CPUs and GPUs are fueling the AI revolution. These chips exhibit significant performance gains over traditional processors, allowing for more to be accomplished within the same power envelope. AI factories will be able to handle significantly more workloads and traffic with a lower power footprint. This newfound efficiency allows for a more potent utilization of existing data center infrastructure.
As a result, the integration of AI, coupled with innovative hardware solutions, is reshaping the landscape of computing, paving the way for more sustainable and resource-efficient data centers.
How can you incorporate these efficiency gains into your company’s data center roadmap, regardless of your size and deployment?
10:45am - 11:15am
How will the underlying data transfer infrastructure keep up with the demands of AI-driven applications?
As we move into the era of AI, these applications pose several challenges related to network and connectivity. How does network architecture need to evolve to support the increased data transfer rates and low-latency communication essential for AI applications?
What role will high-capacity connectivity play in AI inferencing at the edge? How will adaptive networking evolve for AI workloads, and what impact will AI have on a data center in terms of its connectivity requirements?
We explore strategies to ensure your data center infrastructure is network-ready for the applications of the future.
Coffee Break & Networking
11:15am - 12:15pm
What impact will AI have on driving the transformation of cooling in the data center? What are the limits of traditional cooling, and can existing data center infrastructure cope with higher-density AI workloads?
Liquid cooling offers the potential for more efficient heat dissipation, enabling higher density per rack and increased thermal performance in the data center. The decision to use liquid cooling requires careful consideration of the various vendors and technologies available in the market. Finding the right solution and partner is critical before making this decision.
As technology evolves and the demand for high-performance computing increases, the role of AI and the growing rack density may be the industry driver that boosts the adoption of liquid cooling in data centers.
We delve into the interface between cooling vendors, server and chip manufacturers, application consumers, and the crucial task of bridging gaps within this diverse ecosystem.
12:15pm - 12:45pm
What role will infrastructure software play in enabling traditional data centers to adapt to the requirements of AI workloads?
Can applications like DCIM, Digital Twinning and CFD help traditional data centers accommodate the impact of higher rack densities in their environments?
Being able to adapt your data center to the changing nature of workloads through the use of digital twinning, computational fluid dynamics (CFD), and staying up-to-date with the latest generation of data center infrastructure management (DCIM) can significantly enhance efficiency, reduce energy consumption, and mitigate the impact of AI workloads in data centers.
By integrating these technologies, data centers can increase efficiency, reduce energy consumption, and proactively manage the impact of AI workloads on the overall infrastructure. Operators will need to adopt software-driven data centers to effectively manage data center operations in the era of AI workloads.
13:00pm - 13:50pm
Lunch & Networking in the Expo Area
13:50pm - 14:20pm
The AI Gold Rush and its burgeoning power requirements are placing overwhelming pressure on the energy demand of data centers. How can operators use transformative energy and power technology to help mitigate this increased strain?
From predictive maintenance to optimizing energy usage, data center operators need to adopt the latest technologies to ensure the efficiency, sustainability, and resilience of their power systems. By embracing the latest advancements, data centers can improve their operations and deploy more sustainable and reliable infrastructure.
Improvements in predictive maintenance, energy storage, and battery technology, utilization of alternative fuels for backup power, ensuring seamless transitions between diverse energy sources, dynamic load management on backup power systems, deployment of redundant backup power systems, and integration of redundant AI systems collectively enhance the reliability of power infrastructure and AI-driven processes.
14:20pm - 14:50pm
How can data center operators in Europe effectively scale to meet the rising demand for AI and cloud workloads?
Constructing and deploying data center infrastructure is a capital-intensive process that typically spans 12-18 months. Given the current demands reaching hundreds of megawatts, the key challenge lies in rapidly scaling the data center infrastructure to keep pace with the increasing needs of AI and cloud workloads.
In our discussion, we engage with European operators and their supply chain leading the way in constructing the next generation of data centers to meet these expanding requirements. Key strategic partnerships are essential in delivering this capacity on time and within budget.
Powering AI Growth Responsibly
With the emergence of AI and the potential for energy shortages in Europe, we discuss strategies for responsible scaling and collaboration with grid infrastructure.
Key topics for discussion include balancing supply and demand, DERs enabling data centers to contribute to the energy mix while increasing resilience and reducing dependence on the grid, Micro Grids, and Grid-enabled facilities, Energy Storage, and utilizing backup power assets to create a more resilient and sustainable energy infrastructure.
Additionally, we explore the potential for public-private partnerships to collaboratively address energy challenges. How can governments, energy providers, and data centers work together to ensure power demands are met, and operators scale responsibly?
15:20pm - 15:45pm
Coffee Break & Networking
15:45pm - 16:20pm
How can IT infrastructure keep pace with technological advancements?
As technology evolves, data centers must upgrade their infrastructure to support emerging technologies such as AI, 5G, and quantum computing. This presents challenges in terms of cost, compatibility, and expertise. In our discussions, we engage with operators facing these challenges and explore the solutions they are considering to keep pace with this evolving demand.
This is crucial for data centers that need modernization, refresh, and upgrades to meet these new demands.
16:20pm - 16:50pm
Sustainable Data Centers in the AI era - a myth or a reality ?
The pursuit of sustainable data centers is a growing industry concern, especially with the advent of “AI Factories.” To ensure genuine sustainability, it’s vital for data centers to transparently demonstrate their efforts, avoiding accusations of Greenwashing. This entails clear communication of sustainability practices, supported by measurable metrics and transparent reporting.
A holistic approach is essential, addressing not only energy efficiency but also social responsibility, ethical sourcing, and an overall reduction in environmental impact. Acknowledging and mitigating the industry’s carbon footprint is crucial; responsible data centers focus on proactive strategies rather than relying solely on offsetting. Shifting from mere offsetting to owning and minimizing their carbon footprint is key.
Achieving true sustainability demands tangible actions, transparency, and a commitment to continuous improvement. By doing so, the data center industry can contribute significantly to global sustainability efforts, reshaping mainstream media perceptions.