Defining the Essential Cloud for AI

© Copyright CoreWeave 2025. All rights reserved. CoreWeave, its logo, and coreweave.com are trademarks of CoreWeave, registered worldwide.This information is provided “as is” without any warranty, express or implied. This document is current as of the initial date of publication and may be changed by CoreWeave at any time. Defining the Essential Cloud for AI WWW.COREWEAVE.COM The infrastructure moment in AI WHITEPAPER 01 01 A new foundation 02 Accelerating demand 03 Pioneer principles 04 Systemic constraints 05 Essential Cloud for AI 06 Engineered for scale 07 Performance without limits 08 The CoreWeave Effect 09 Next steps WHITEPAPER AI CLOUD: DEFINING THE FORCE MULTIPLIER FOR AI INNOVATION 02 Introduction The flywheel of AI innovation is one of the most powerful creative forces of our time, and it’s spinning ever faster. After decades of incremental AI progress, the first transformer models in 2017 signaled a paradigm shift. Suddenly, machines could grasp context, nuance, and meaning in ways that hinted at the next era of intelligence even if the full impact had yet to be felt. The debut of GPT-3.5 in 2022 was the tipping point that catapulted AI into mainstream use and marked the start of frontier model competition. Today, the most advanced frontier models now double their effective time horizon every seven months (METR, 2025), but their effects cascade everywhere, including the products your teams create or adopt, the costs you manage, and the competitive pressures you face. The reality is relentless. You’re either accelerating innovation or falling behind. And the underlying foundation isn’t a backdrop for this landscape, it represents your best opportunity for competitive advantage. Leaders face a critical fork in the road: stick with general-purpose clouds tuned for web apps and IT, or move to what the AI era demands—a purpose-built AI cloud engineered for massive training runs, low-latency inference, and rapid iteration. At AI scale, every layer of the stack sets the pace. Consider biology benchmarks where LLMs already match or surpass human experts, but only when training, inference, and tooling are optimized end to end (Justen et al., 2025). Hardware-software integration delivers parallel benefits, driving major gains in throughput and efficiency. For pioneers, the takeaway is unmistakable: Breakthroughs demand a cloud built to deliver, scale, and sustain them. This paper introduces the purpose-built AI Cloud, a new foundation created not just to compete with hyperscale, but designed to replace it as the force multiplier for AI innovation. PROOF IN PRODUCTION OpenAI frontier model acceleration CoreWeave AI Cloud is the networking backbone for GPT-5 model routing and orchestration across multiple clouds. 01 A new foundation WHITEPAPER AI CLOUD: DEFINING THE FORCE MULTIPLIER FOR AI INNOVATION 03 Incredible opportunities and pressures AI breakthroughs are everywhere, and they’ve unleashed a surge in demand as industries race to operationalize AI, straining the economics and availability of compute worldwide. While many business leaders are debating whether AI is overhyped and worth the investment, the real pioneers don’t have that luxury. They know the question isn’t if AI will reshape their industry, but how fast—and they also know that every misstep risks lost opportunities and falling behind. AI is set to strain every layer of the IT stack, from hardware to data pipelines to governance, and the signals couldn’t be clearer. 02 Accelerating demand WHITEPAPER AI CLOUD: DEFINING THE FORCE MULTIPLIER FOR AI INNOVATION 04 From chatbots to assistants, LLMs are now in the hands of millions of consumers while enterprises rush to embed them into core systems. That one-two punch is driving unprecedented strain on the underlying hardware, with global data center power demand expected to soar 165% by 2030 (Goldman Sachs, 2025). 88% of enterprises have enhanced their ability to deploy AI at scale, strongly signaling that adoption is moving from pilots toward core infrastructure (Domino 2025 REVelate report). The numbers are staggering and often seem unreal. AI is estimated to underpin $16 trillion of global GDP, with direct revenues projected to exceed $1 trillion by 2030 (IDCA, 2025). Yet the path to ROI is often murky, with both strategy and technology integral to success. Surging demand Intensifying enterprise adoption Market paradox PROOF IN PRODUCTION Toyota advances autonomous systems safety Toyota worked with Weights & Biases by CoreWeave to automate driving-log bug classification, dramatically accelerating error detection and improving classification accuracy. WHITEPAPER AI CLOUD: DEFINING THE FORCE MULTIPLIER FOR AI INNOVATION Together, these realities point to a simple truth: The foundational decisions leaders make now will define tomorrow’s winners. As AI workloads multiply, the gaps in power, hardware supply, and scaling efficiency will only widen. Quick fixes and temporary workarounds may ease immediate pressures, but they can’t deliver the sustained velocity, scalability, and cost efficiency that AI demands. Whether they’re pioneering new AI products or modernizing core operations, leaders need a cloud that’s engineered for AI from the ground up. 02 Accelerating demand 05 WHITEPAPER AI CLOUD: DEFINING THE FORCE MULTIPLIER FOR AI INNOVATION 02 Accelerating demand Market forces shaping the AI Cloud Talent deficit: New skill sets are in high demand and short supply; every company will need to reimagine roles and build new pipelines. Sustainability concerns: The compute boom has caused increased concerns and pressures around power consumption, e-waste, and other potential points of impact. Ethical concerns: As with any rapidly evolving space, governance lags behind innovation, raising complex questions about fairness, bias, and responsibility. Geopolitical focus: AI has become a national priority as sovereign governments pour billions into secure, regional ecosystems. 06 Principles for pioneers of the AI era WHITEPAPER AI CLOUD: DEFINING THE FORCE MULTIPLIER FOR AI INNOVATION 03 Pioneer principles Hyperscalers enabled a generation of cloud innovation, but they were built in different times for different needs. At AI’s magnitude, those environments create friction. AI pioneers need maximum velocity, and that velocity is defined by a new set of principles. 07 Harnessing AI’s power is the only path to leadership This is not a wait-and-see moment. Those who innovate first…