Raspberry Pi 5 Mixture of Experts Inference Kit - Benchmark Active Parameter Utilisation at the Edge

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Deploy a quantised Mixture of Experts large language model directly on a Raspberry Pi 5, streaming expert weights from NVMe SSD to benchmark active parameters and routing patterns. This kit transforms your Pi 5 into an Edge AI inference lab, allowing you to dissect how sparse models distribute work across experts in real time. Go beyond toy examples-profile expert load imbalance, measure per-layer computational cost, and visualise routing heatmaps, all on hardware that fits in your palm.

What You'll Build

Set up and run a quantised MoE transformer like Mixtral-8x7B, achieving interactive token generation speeds from NVMe storage. Profile active parameter utilisation per transformer layer, measure expert load distribution, and generate visual routing heatmaps to identify expert specialisation. You'll have a fully functional edge inference testbed that logs metrics for research or project reports.

What You'll Learn

• Deploy quantised Mixture of Experts LLMs on ARM64 architecture
• Set up NVMe SSD storage for high-throughput model weight streaming
• Benchmark per-layer active parameter counts and expert routing latencies
• Visualise and interpret expert routing patterns to optimise inference efficiency

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This advanced kit is purpose-built for final-year B.Tech ECE/EEE students undertaking edge AI capstone projects, Smart India Hackathon teams prototyping efficient sparse architectures, and research associates at IITs, NITs, VIT, or BITS Pilani exploring efficient LLM deployment on embedded systems. It's also ideal for independent AI/ML developers eager to push Raspberry Pi 5's boundaries in real-world MoE inference.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.