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In 2026, cloud computing faces major challenges from AI-driven demands straining infrastructure, power shortages prompting geographic shifts, intensifying regulations on data sovereignty, and heightened cybersecurity risks. Innovations like edge computing, sustainable energy solutions, and AI automation offer pathways to resilience and growth. The industry must adapt proactively to thrive.
Cloud costs can quickly spiral when finance teams lack real-time visibility into engineering spend. Join the free virtual FinOps Excellence Summit, hosted by Harness on July 16th, to learn how leading companies like United Airlines are successfully embedding cost controls into their software delivery pipelines.
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In 2026, cloud computing undergoes a hardware revolution driven by AI demands, specialized silicon from Nvidia and AMD, memory tiering, and networking innovations like 1.6 Tbps switches. Frameworks like CloudSpecs help decode these shifts, addressing power constraints and efficiency for sustainable, scalable infrastructure. This evolution promises unprecedented capabilities if challenges are overcome.
Brookfield Asset Management is launching Radiant, a cloud computing business to lease AI chips directly to developers, backed by a $10 billion fund and $100 billion AI infrastructure program. Partnering with Nvidia, it aims to cut costs through vertical integration and global data centers, challenging giants like Amazon and Microsoft. This move could reshape AI infrastructure.
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The UK government is launching a £250 million cloud procurement to enhance AI research by integrating commercial GPU clusters with supercomputers like Isambard-AI and Dawn, aiming for a 2,000% compute capacity increase by 2030. This hybrid approach supports innovation in fields like climate modeling and drug discovery, fostering economic growth and technological sovereignty.
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