Engineering Lab.
Documented reference setups that show how we approach platform engineering in practice. Each lab ties to a service line, explains the operational model, and reflects how we build for production.
Published labs
Edge Inference Fleet on Jetson Orin Nano with K3s
A reference architecture for running inference workloads on a fleet of NVIDIA Jetson Orin Nano devices with K3s, OTA updates, and remote observability.
Read labGPU Platform Baseline for Production Model Serving
A reference baseline for serving models on GPU Kubernetes: scheduling, inference runtimes, GitOps promotion, observability, and cost-aware autoscaling.
Read labProduction RAG Infrastructure: Ingestion to Gateway
A reference for production RAG infrastructure: document ingestion, embedding pipelines, vector stores, secure retrieval gateways, and observability without owning the application layer.
Read labRaspberry Pi as Edge Gateway and Fleet Control Node with K3s
A site-level reference: Raspberry Pi as K3s control plane, artifact cache, and telemetry gateway, with NVIDIA Jetson nodes focused on inference.
Read labReady to take your AI workloads to production?
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