Rebellions
Rebellions develops energy-efficient AI accelerators designed to scale hyperscale deployments.
Free + paidPyTorchTensorFlowvLLMLLM-basedMultimodal
Visit websiterebellions.ai
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Rebellions develops energy-efficient AI accelerators designed to scale hyperscale deployments. The hardware features advanced chiplet designs for scaling up and high-bandwidth interconnects for scaling out, maintaining monolithic efficiency within a modular architecture. It supports large MoE models like Llama4 and DeepSeek-R1 using mixed precision and smart prefetching, achieving up to 50% less power consumption compared to competitors. Targeted at hyperscale data centers and cloud providers, it offers system-level scalability for LLMs. Pricing information is not publicly available.
Key features
- Advanced chiplet design for scalability
- High-bandwidth interconnects
- Support for large MoE models (Llama4, DeepSeek-R1)
- Up to 50% lower power consumption
- Mixed precision execution
Pros & cons
Collected from user feedback found in web search
Pros
- Enterprise Al Solution
- Efficient. Scalable. Deployment-Ready.
Pricing
Free + paid
Verified on:
Use cases
- Large Language Model (LLM) inference
- Mixture of Experts (MoE) model deployment
- Energy-efficient AI infrastructure scaling
Who it is for
Hyperscale data centers
Integrations
PyTorchTensorFlowONNXHugging FaceKT CloudSamsung Foundry
Tags
API
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 09/02/2026Verified sources: 4
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