Rebellions, a global leader in AI inference infrastructure, has raised $400 million in a pre-IPO funding round led by Mirae Asset Financial Group and the Korea National Growth Fund. The round follows the company’s $250 million Series C in September 2025, bringing total funding to $850 million and valuing the company at approximately $2.34 billion.
With $650 million raised in the past six months – over 75% of its total capital to date – Rebellions is entering a new phase of growth focused on U.S. market expansion, scaled production of its Rebel100 platform, and preparation for a future IPO.
The announcement comes at a defining moment for AI infrastructure. As AI adoption accelerates, the limiting factors are no longer model capability alone, but the ability to run those models efficiently, economically, and at scale in data center environments.
“AI is now measured by its ability to operate in the real world – at scale, under power constraints, and with clear economic return,” says Sunghyun Park, Co-Founder and CEO of Rebellions. “That shifts the center of gravity toward inference infrastructure and software that makes that infrastructure usable. The companies that succeed in this era will not be defined by silicon alone, but by how effectively they integrate into the open source software ecosystem and enable developers to build and deploy without friction.”
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This perspective reflects a broader industry reality that infrastructure must support production workloads immediately, within existing data center constraints, while delivering sustainable performance over time.
Rebellions is expanding its global footprint with a focused push into the United States, where demand for efficient, deployable AI infrastructure is accelerating across cloud providers, Neoclouds, telecom operators, and government-backed initiatives. The expansion is led by Chief Business Officer Marshall Choy, who recently joined the company to drive global growth.
“The U.S. market is reaching a point where access to compute is no longer the only question – how efficiently that compute is used is becoming just as important,” says Choy. “Organizations are looking for infrastructure that works within their existing environments, extends the life of their current investments, and enables new revenue-generating AI applications. That is where we are focused today.”
At the core of this strategy is Rebellions’ software-centric approach. The company has built a cloud-native AI stack and serving platform for production-scale deployment, underpinned by Kubernetes and designed to work natively with leading open source software, including vLLM, PyTorch, Triton, Hugging Face, and OpenShift. The platform delivers high-performance distributed inference, broad model support, and a consistent deployment experience.
SOURCE: Rebellions