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The AI power struggle: navigating the critical challenges of scaling, optimising, and securing compute infrastructure to power the next era of artificial intelligence.
The rapid rise of AI is reshaping industries, but every intelligent system faces a critical challenge: the high demand for computing power. Training advanced AI models today requires large computational resources, with the amount needed doubling about every five months. As deep learning algorithms evolve, the competition for GPUs—now scarce and in high demand—continues to intensify, causing a bottleneck in AI.
But it’s not just about hardware. The energy required to power these models is significant, with some AI training sessions using as much energy as a city. As models grow in size and complexity, concerns about environmental impact and rising energy costs are unavoidable.
In this evolving landscape, access to advanced AI computing infrastructure will define future winners and losers. Those who can secure these resources will foster innovation and growth, while others may fall behind.
This event will examine the future of AI compute, addressing the challenges of building scalable, sustainable systems, the intense competition for limited resources, and the strategies needed to power AI responsibly and efficiently.
Join more than 300 industry leaders.
Register nowThe AI power struggle: navigating the critical challenges of scaling, optimising, and securing compute infrastructure to power the next era of artificial intelligence.
Why attend?
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Gain insights into sustainable AI infrastructure
Discover cutting-edge strategies for building AI compute systems that not only scale but also reduce energy consumption and environmental impact, addressing the pressing concerns around AI’s carbon footprint.
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Stay ahead of the AI compute race
Learn how leading companies are overcoming the current scarcity of GPUs and accessing the computational power needed to train advanced AI models, ensuring they stay competitive in the rapidly evolving AI landscape.
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Connect with AI and compute leaders
Network with industry experts, technology providers, and decision-makers driving advancements in AI compute infrastructure. Build valuable relationships that could unlock opportunities for your organisation.
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Explore real-world AI compute applications
Hear case studies and success stories from companies deploying AI at scale. Learn how they’re leveraging AI compute infrastructure to solve real business challenges across various sectors, from healthcare to finance.
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Navigate the future of AI regulation and policy
Understand the latest regulatory and policy trends surrounding AI infrastructure and energy consumption. Stay informed about the rules that may impact how your organization uses AI and compute resources.
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Identify investment and partnership opportunities
With AI compute as the foundation for future breakthroughs, uncover potential investment and partnership opportunities that will position your business for long-term success in AI-driven markets.
Who you will meet
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C-suite executives
CEOs, CTOs, CIOs, CDOs, and CAIOs – strategic decision makers and budget holders
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Vice-presidents and directors
AI, machine learning, data sicence, R&D, technology, innovation, sustainability
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Department heads
Heads of AI/ML, data science, innovation, and technology – team leaders and drivers of AI initiatives
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Technical leaders
AI strategists, cloud architects, and data center managers – responsible for implementing AI solutions and optimising infrastructure
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Infrastructure
Data centres, supercomputers, GPU integration, AI chips, storage expansion, power and cooling, network upgrades, hardware
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Software
Cloud platforms, orchestration tools, AI frameworks, data management, data intelligence, platforms, security measures, GPU cloud
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Investors
Event format
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Thursday, May 22nd
In-person, Copenhagen
Scandic Copenhagen
Vester Søgade 6, 1601 København, DenmarkPlan your visitInterested in speaking?
For speaking opportunities please contact the team or email [email protected]
Related reading
Sponsors
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Sapphire sponsor
View Profile X
Sapphire sponsor
Positron
Positron delivers vendor freedom and faster inference for both enterprises and research teams, by allowing them to use hardware and software explicitly designed from the ground up for generative and large language models (LLMs).
Through lower power usage and drastically lower total cost of ownership (TCO), Positron enables you to run popular open source LLMs to serve multiple users at high token rates and long context lengths. Positron is also designing its own ASIC to expand from inference and fine tuning to also support training and other parallel compute workloads.
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Gold sponsor
View Profile XNscale is the hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data centres to software stack, we are vertically integrated to provide unparalleled performance, efficiency and sustainability.
Our vertically integrated platform, powered by 100% renewable energy, is designed to support demanding AI workloads with ease. With a GW+ pipeline of greenfield sites across Europe and North America, Nscale ensures we can deliver bespoke GPU clusters at any scale. This capacity, coupled with partnerships with AMD, NVIDIA, and more, allow us to offer cost-effective, high-performance infrastructure for AI training, fine-tuning, and inference.
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Gold sponsor
View Profile Xio.net is a decentralized physical infrastructure network (DePIN) that deploys and manages on-demand, decentralized GPU clusters from geo-distributed sources. Hundreds of thousands of GPUs are accessible today in IO Network, and this Internet of GPUs is specifically architected for low latency, high processing demand use cases like AI/ML ops and cloud gaming. io.net democratizes access to GPU compute capacity while reducing costs, expediting lead times, and expanding choice for engineers and businesses. Access compute capacity for a fraction of the cost or become a capacity supplier at io.net.
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