Company Legal Name
Latest Valuation
Founded Year
Headquarters
Rebellions Inc. develops specialized AI accelerator hardware designed to optimize energy-efficient inference for large language models and multimodal applications in data center environments. Based in Seongnam-si, South Korea, the company addresses the critical challenge of reducing computational costs and power consumption in AI workloads as enterprises increasingly deploy resource-intensive machine learning models. Rebellions focuses on delivering hardware solutions that enable more sustainable and cost-effective AI operations for data center operators. The company is positioned to capitalize on the growing demand for efficient AI infrastructure as organizations seek to balance performance requirements with environmental and operational cost considerations in their AI deployments.
Availability of information and platform features may vary by region and applicable requirements.
Eligibility and access may depend on user location, verification status, and applicable legal or regulatory requirements.
Additional platform details may be available after account creation, where applicable.
Identity, compliance, and other review steps may be required before access to certain materials or features.
Platform details, if applicable, should be reviewed in account materials before making any decision.
Any economic terms, if applicable, should be reviewed carefully in the relevant materials.
Private market interests may be illiquid, restricted, or difficult to transfer. Users should not assume that any secondary market will be available.
Valuations may reflect past financing rounds or other available information and may not represent a price at which any person can transact.
Company and sector risks may vary by business model, technology development, competition, regulation, and market conditions.
Operational, documentation, custody, or verification processes may involve limitations, delays, or dependencies.
Regulatory, tax, and legal requirements may change and may affect information availability, platform features, or user eligibility.
