Run LLaMA 3.1 on Raspberry Pi with PIPELOAD pipeline inference—achieve 90% memory reduction and deploy 7B models on 8GB edge devices at 2.5 tokens/sec.

Train AI models on resource-constrained hardware with quantization, pruning, and distillation—run GPT-3 capabilities 100x faster through compression.

Deploy AI edge computing with YOLOv8 and TensorFlow Lite—achieve 15ms latency for real-time inference on Raspberry Pi with local processing for privacy.