The Supply Chain Management Accelerator leverages deep learning forecasts, Azure Machine Learning and distributed computing with a Ray Cluster, to simulate an inventory optimization problem using synthetic data. It allows you to also run other simulations, using a PowerApps user-interface connected directly to the Azure Kubernetes Instance running

High-performance RLHF/GRPO pipeline scaling Gemma 3 on GKE Ray Clusters (B200/H200) using NVIDIA NeMo-RL. Includes native FSDP checkpoint merging and zero-shot vLLM benchmarking.

Testing deployment of a Ray cluster on AWS

A comprehensive guide to setting up and managing Raspberry Pi, Ray Clusters, and distributed AI workloads. Includes network troubleshooting, IP configuration, Ray Dashboard, and Python script execution for scalable AI applications.

Terminal ray tracing, lightly sautéed with chaos where anyone can cook