Power AI Inference. Efficiently. At Scale.

Rebellions combines advanced chiplet architecture with ultra-high bandwidth HBM3E - delivering unmatched energy efficiency, scalability, and deployability across real-world inference workloads.
Only company with both chiplet and HBM3E in production.

Rebellions

Efficient. 
Scalable. 
Deployment-Ready.

REBEL-Quad

Peta-Scale MoE Inference.
Without the Energy Tax.

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Performance

One Engine.
Mixed Precision.

Energy Efficiency

Smarter Prefetch.
Faster Execution.

Scalability

Modular Architecture.
Monolithic Efficiency.

Synchronization

Always On.
Always Through.

REBEL-Quad vs. H200

REBEL-Quad

H200

Throughput
(TPS)

1.2

Efficiency
(TPS/Watt)

2.4

Power Consumption
(Watt)

0.5 (~50% Lower Power Consumption)

Benchmark Condition: Performance measured on Llama 3.3 70B (TP2, FP8) with runtime input/output length 2048/2048.

MoE in Action
Open-Source Frameworks.
Real Deployment.

Architecture for any model. Silicon for any scale.

Built on PyTorch and vLLM. Runs in real time with dynamic expert routing.

HW-SW co-optimized for disaggregated inference.

Develop with familiar tools. Scale with system-level efficiency.

Rebellions Chiplet Ecosystem

Beyond the Die.
Seamless Dataflow and Compute Scalability across Chiplets.

Rebellions Chiplet Design Strategy

UCIe

Compute Generality Scalability Capacity

Rebellions SDK
Deploy with Confidence from Day One.

Purpose-built for PyTorch.
Tuned for production.

High-QPS vLLM serving.
Ready out of the box.

Full Triton access with dev tools
you’ll actually use.

One-click deployment.
Zero guesswork.

Explore Rebellions SDK