Serve the home! Inference stack for your Nvidia DGX Spark aka the Grace Blackwell AI supercomputer on your desk. Mostly vLLM based for now
High-performance interactive system monitor for NVIDIA DGX systems — GPU, CPU, memory, disk, network in a beautiful TUI
headless remote desktop to your dgx spark in crystal clear 4k
A kubernetes operator for managing nvidia MIG instances.
GPU-accelerated WhisperX on NVIDIA Blackwell (SM_121) - DGX Spark compatible
Browser-based datacenter lab simulator for NCP-AII certification exam prep — 20 command simulators, 32 guided scenarios, and a full learning progression system.
This is a home brewed menu system for Nvidia's DGX Field Diagnostics Suite.
Pedestrian Detector— using Faster RCNN. This is an application of computer vision, object recognition. We detect people walking on the road and cyclists. Research is also done comparing its performance with different models like YOLO v3.
ImageTextDataset adalah sebuah kelas yang mengimplementasikan torch.utils.data.Dataset untuk memuat dataset gambar dan teks. Dataset ini dirancang untuk mempermudah proses pelatihan model pembelajaran mesin yang memerlukan input berupa gambar dan anotasi teks.
gpu thrashingNVIDIA GPU Unified Memory diagnostic tool — architecture-aware, measurement-based, PCIe/coherent transport detection
GPU-native agent-swarm orchestration for the NVIDIA AI stack — NeMo, NIM, Triton, DCGM, NGC, NIXL, OpenShell. Spawn GPU-pinned agent teams across DGX/HGX nodes with NVLink-aware scheduling, task DAGs, adaptive scheduling, and full observability.
Infrastructure-as-code for deploying Apache Spark on Nvidia DGX systems with GPU acceleration
🚀 Serve large language models efficiently at home with this Docker-based inference stack on your Nvidia DGX, featuring intelligent resource management.
Add a description, image, and links to the dgx topic page so that developers can more easily learn about it.
To associate your repository with the dgx topic, visit your repo's landing page and select "manage topics."