Power AI Inference.
Efficiently. At Scale.

Rebellions

Scale Up with Advanced Chiplets.
Scale Out with High-Bandwidth Interconnects.

REBEL-Quad

Peta-Scale MoE Inference.
Without the Energy Tax.

REBEL-Quad vs. H200

REBEL-Quad
H200

Throughput
(TPS)

1.6

Efficiency
(TPS/Watt)

3.2

Power Consumption
(Watt)

0.5 (~50% Less Power Consumption)
Benchmark Condition
Performance measured on Llama 3.3 70B (TP2, FP8) with runtime input/output length 2048/2048.

Performance

One Engine.
Mixed Precision.

Energy Efficiency

Smarter Prefetch.
Faster Execution.

Scalability

Modular Architecture.
Monolithic Efficiency.

Synchronization

Always On.
Always Through.

System-Level Scalability

Rebellions Chiplet Design Strategy

MoE in Action

Llama4 Maverick 400B
Qwen3 235B
DeepSeek-R1 671B

Sovereign-Scale Deployment

Rebellions SDK
Deploy with Confidence from Day One.