White Papers
The following technical white papers are published by Openzeka Teknoloji A.Ş.
| Title | Topic | Platform |
|---|---|---|
| Local LLM Usage Guide | Hardware → model → software decision guide | Jetson, RTX PRO, DGX Spark, DGX/HGX |
| Qwen3.6-27B DGX Spark Benchmark | LLM quantization comparison (FP8/AWQ/NVFP4 + MTP) | NVIDIA DGX Spark (GB10) |
| Qwen3.6-27B DGX Spark Cluster Scaling | Multi-node scaling (TP1/TP2/TP4), SLO-driven capacity planning | 1x/2x/4x NVIDIA DGX Spark (GB10) |
| DGX Spark 2-Node AI Cluster Setup Guide | Point-to-point topology cluster setup, RoCEv2/RDMA, sparkrun | 2x NVIDIA DGX Spark (GB10) |
| DGX Spark 3-Node AI Cluster Setup Guide | Ring (mesh) topology cluster setup, RoCEv2/RDMA, sparkrun | 3x NVIDIA DGX Spark (GB10) |
| DGX Spark 4-Node AI Cluster Setup Guide | Switch-based cluster setup, RoCEv2/RDMA, sparkrun, NAS | 4x NVIDIA DGX Spark (GB10) |
| DGX Spark 8-Node AI Cluster Setup Guide | Switch-based cluster setup, RoCEv2/RDMA, sparkrun, NAS | 8x NVIDIA DGX Spark (GB10) |
| Kimi K3 Inference Benchmark on DGX-B300 | Inference engine + speculative decoding comparison (vLLM vs SGLang, direct vs DSpark) | NVIDIA DGX-B300 (8x Blackwell Ultra, TP=8) |
| NVIDIA DGX B300 vs GB300 NVL72 Cluster Architecture Comparison | Technical comparison of two Blackwell Ultra architectures, workload-based platform selection guide | NVIDIA DGX B300, GB300 NVL72 (Blackwell Ultra) |
| LLM Inference Benchmark Explorer | Interactive benchmark table: filter by device, model and quantization, set your own service-level thresholds | DGX Spark (GB10), DGX B300, RTX PRO 6000, Jetson Thor |
On this page
- Qwen3.6-27B DGX Spark Benchmark
- Local LLM Usage Guide
- Qwen3.6-27B DGX Spark Cluster Scaling
- DGX Spark 2-Node AI Cluster Setup Guide
- DGX Spark 4-Node AI Cluster Setup Guide
- DGX Spark 3-Node AI Cluster Setup Guide
- Kimi K3 Inference Benchmark on DGX-B300
- NVIDIA DGX B300 vs GB300 NVL72 Cluster Architecture Comparison
- DGX Spark 8-Node AI Cluster Setup Guide