Openzeka Technical White Papers
In-depth technical analysis on artificial intelligence, high-performance computing, and embedded systems. From NVIDIA DGX/HGX data center solutions to Jetson-based edge inference, from DGX Spark mini supercomputers to the Cordatus AI real-time video analytics platform.

Published White Papers
Local LLM Usage Guide
An end-to-end decision guide for local LLM deployment: hardware (Jetson, RTX PRO, DGX Spark, DGX/HGX), model selection, and software stack.
June 2026 </a>
Qwen3.6-27B DGX Spark Benchmark
Performance evaluation of the Qwen3.6-27B model on DGX Spark (GB10) with FP8, AWQ, NVFP4 quantization and MTP variants.
July 2026 </a>
Qwen3.6-27B DGX Spark Cluster Scaling
Multi-node scaling of Qwen3.6-27B-NVFP4 on 1x/2x/4x DGX Spark: tensor parallelism over 200GbE, SLO-driven capacity planning, and TP-vs-replication deployment guidance.
July 2026 </a>
Areas of Expertise
Embedded & Edge AI
Real-time inference, robotics, and physical AI on the NVIDIA Jetson module family (Orin, Thor, Xavier).
Data Center
Scalable AI training and inference infrastructure with DGX, HGX, and PCIe-based server systems.
Mini Supercomputer
DGX Spark family with GB10 architecture — compact, powerful, and scalable personal AI workstations.