One-command vLLM installation for NVIDIA DGX Spark with Blackwell GB10 GPUs (sm_121 architecture)
Headless remote desktop setup for NVIDIA DGX SPARK using Sunshine streaming
LLM fine-tuning with LoRA + NVFP4/MXFP8 on NVIDIA DGX Spark (Blackwell GB10)
This is an extension of my previous article on the two Server/Client connection methods for DGX Spark: Day01A and Day01B. Here, I'll adapt the official NVIDIA steps (which rely on NVIDIA SYNC) for setting up Open WebUI on an NVIDIA DGX Spark, without using NVIDIA SYNC connections. I hope this gives you more options for reference.
From an external network on Mac/PC → via WireGuard VPN → SSH login to DGX Spark at home
From a local network on Mac/PC → SSH login to DGX Spark at the same subnet
This is an extension of my previous articles "DGX Spark: Day01A & Day01B, and Day03". Here, I'll adapt the official NVIDIA steps (which rely on NVIDIA SYNC app) for setting up ComfyUI on an NVIDIA DGX Spark, without using NVIDIA SYNC app connections. I hope this gives you more options for reference.
Voice-controlled autonomous observatory: Intes-Micro MN78 Mak-Newt, harmonic drive GEM, OnStepX, local AI on DGX Spark — for Nevada dark skies
Talos Linux overlay for ASUS Ascent GX10 (DGX Spark) - NVIDIA GPU drivers, firmware, and hardware configurations for Talos Linux on DGX Spark nodes.
demo google ai studio, front for https://github.com/martinobettucci/epsi-minidex-api
This is an extension of my previous articles "DGX Spark: Day01A & Day01B, and Day02". Here, I'll expand Client support from Mac/PC to any Tablets/Phones.
Production LLM deployment specs for NVIDIA Blackwell GPUs (RTX Pro 6000, DGX Spark). Includes vLLM configurations, benchmarks, load balancer, and throughput calculators for NVFP4/FP8/MoE models.
headless remote desktop to your dgx spark in crystal clear 4k
NVIDIA DGX Spark ressources
Multi-model LLM serving for NVIDIA DGX Spark with vLLM, web UI, and tool calling
Energy is the bottleneck to the frontier.
This project will summarize a collection of research papers gathered from internet sources on the NVIDIA DGX Spark/Jetson development boards.
demo google ai studio, backoffice API for https://github.com/martinobettucci/epsi-pokedex
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