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Neoclouds to Generate Over US$65 Billion in GPU-as-a-Service Revenues by 2030, ABI Research Finds

Unlike hyperscalers retrofitting CPU-centric architectures, neocloud providers operate greenfield environments designed specifically for AI performance. They leverage tight integration with accelerator vendors and full-stack design—from infrastructure to orchestration—to support foundation model training, fine-tuning, and multimodal inference. ABI Research's analysis categorizes the ecosystem into four archetypes: GPUaaS opportunists, full-stack AI-first platforms, decentralized compute marketplaces, and domain-specific AI infrastructure providers. Companies such as CoreWeave, Lambda Labs, Crusoe Cloud, and Nebius are already redefining go-to-market approaches with reserved capacity, bulk credits, sovereign cloud deployments, and MLOps integration.
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Unlike hyperscalers retrofitting CPU-centric architectures, neocloud providers operate greenfield environments designed specifically for AI performance. They leverage tight integration with accelerator vendors and full-stack design—from infrastructure to orchestration—to support foundation model training, fine-tuning, and multimodal inference. ABI Research's analysis categorizes the ecosystem into four archetypes: GPUaaS opportunists, full-stack AI-first platforms, decentralized compute marketplaces, and domain-specific AI infrastructure providers. Companies such as CoreWeave, Lambda Labs, Crusoe Cloud , and Nebius are already redefining go-to-market approaches with reserved capacity, bulk credits, sovereign cloud deployments, and MLOps integration.

"Neoclouds face high capital intensity and pressure to differentiate beyond raw hardware access," Gergs continues. "Standing up large GPU fleets, building orchestration layers, and offering sovereign infrastructure requires significant upfront investment. Without adtech or SaaS revenue streams, like the hyperscalers, they must rely heavily on partnerships with chipset vendors and integrators to stay competitive. That dependence, however, gives them disproportionate influence—they could become new gatekeepers for AI infrastructure access, similar to the role hyperscalers have long played." The implications reach beyond infrastructure. As pricing models diversify and sovereignty becomes a competitive differentiator, the balance of power in the AI ecosystem is evolving.

"The rise of neoclouds signals a rebalancing of power in the AI infrastructure value chain," Gergs concludes. "To thrive, chipset makers, integrators, and enterprises alike must foster open ecosystems, prioritize transparency in orchestration, and diversify their partnerships to avoid lock-in and sustain long-term innovation."

These findings are from ABI Research's Mapping the Neocloud Market Landscape: Definitions, Technology Characteristics & Business Models report. This report is part of the company's Cloud research service, which includes research, data, and ABI Insights.

ABI Research is a global technology intelligence firm uniquely positioned at the intersection of technology solution providers and end-market companies. We serve as the bridge that seamlessly connects these two segments by providing exclusive research and expert guidance to drive successful technology implementations and deliver strategies proven to attract and retain customers.

ABI Research是一家全球性的技术情报公司,拥有得天独厚的优势,充当终端市场公司和技术解决方案提供商之间的桥梁,通过提供独家研究和专业性指导,推动成功的技术实施和提供经证明可吸引和留住客户的战略,无缝连接这两大主体。

For more information about ABI Research's services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe , +65.6592.0290 in Asia-Pacific , or visit www.abiresearch.com.

:

Jason Scheer                                                           
Tel: +1.516.624.2562                                                    
pr@abiresearch.com

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