spark/context/dgx-os-software.md

id	title	status	source_sections	related_topics	key_equations	key_terms	images	examples	open_questions
dgx-os-software	DGX OS and System Software	established	Web research: NVIDIA DGX OS 7 User Guide, Dell support articles, Phoronix, NVIDIA DGX Spark User Guide, ServeTheHome	[ai-frameworks setup-and-config gb10-superchip]	[]	[dgx-os ubuntu cuda nvidia-driver dgx-spark kernel nvidia-sync dgx-dashboard fwupdmgr ai-enterprise]	[]	[]	[Can a stock Ubuntu 24.04 ARM be installed instead of DGX OS? Full list of pre-installed NVIDIA packages and exact versions Update cadence and EOL timeline details beyond the 2-year guarantee]

DGX OS and System Software

The Dell Pro Max GB10 ships with NVIDIA DGX OS 7, a purpose-built Linux distribution for AI development.

1. DGX OS 7 Overview

• Base: Ubuntu 24.04 LTS (Noble Numbat)
• Kernel: Linux 6.8
• Architecture: ARM64 (aarch64)
• NVIDIA branding: Also called "DGX OS for DGX Spark"

DGX OS is not a separate distribution — it is Ubuntu 24.04 with NVIDIA's customizations layered on top:

• Pre-configured NVIDIA GPU drivers
• CUDA toolkit and libraries
• Platform-specific optimizations and configurations
• Diagnostic and monitoring tools
• System-specific firmware management

2. Pre-installed Software Stack

The system ships ready to run AI workloads with:

• CUDA toolkit + cuDNN — GPU compute API, compiler, and deep learning primitives
• NVIDIA drivers — optimized for GB10 Blackwell GPU
• Docker + NVIDIA Container Runtime — container support out of the box (T0 Spec)
• NVIDIA Sync — cross-platform desktop app for remote device management (see §8)
• DGX Dashboard — system monitoring web UI at http://localhost:11000 with integrated JupyterLab (see §9)
• NGC — access to NVIDIA GPU Cloud containerized applications and models
• AI Enterprise — enterprise-grade AI software assets and services
• Python — system Python plus development environments
• GCC — ARM-native compiler toolchain
• OpenJDK — Java runtime

For AI frameworks, see ai-frameworks.

3. First Boot and Setup

DGX OS uses a setup wizard on first boot that handles:

• User account creation
• Network configuration
• System preferences
• Software configuration

The process is designed for fast onboarding. See setup-and-config for detailed walkthrough.

4. OS Reinstallation

Dell provides a documented process for reinstalling DGX OS:

• Boot to GRUB menu
• Select "Install DGX OS 7.2.1 for DGX Spark" from DGX Spark Installation Options
• Installation takes approximately 25-30 minutes

Source: Dell Support KB Article

5. Firmware Updates

Dell and NVIDIA use different firmware signing keys. Dell units require Dell-signed firmware payloads, not generic DGX Spark firmware. (T1 Documented, ServeTheHome)

Update Procedure

sudo apt update
sudo apt upgrade
sudo fwupdmgr refresh
sudo fwupdmgr upgrade

The GUI alternative: DGX Dashboard → Settings → Update (triggers reboot for BIOS/firmware changes).

Firmware updates take approximately 1-2 minutes plus a reboot.

6. Support Lifecycle

• Guaranteed updates: 2 years from purchase (T2, Jeff Geerling)
• Support channel: Dell provides support for Dell Pro Max units (not NVIDIA directly)
• Implication: Dell partners provide ongoing firmware and support, distinct from NVIDIA's DGX Spark support

7. Important Notes

• ARM-only: All software must be ARM64/aarch64 compatible. x86 binaries will not run natively.
• No Windows: This system does not support Windows installation.
• Package management: Standard Ubuntu apt package manager, plus NVIDIA's own repositories.
• NVIDIA kernel: The system requires NVIDIA's specific kernel for full hardware compatibility.

8. NVIDIA Sync (Remote Management App)

NVIDIA Sync is a cross-platform desktop application (macOS, Windows, Linux) that connects a laptop/workstation to the DGX Spark / Dell Pro Max GB10 over the local network. (T1 Documented, build.nvidia.com/spark)

Installation

Platform	Method
macOS	Download DMG, drag to Applications
Windows	Run installer executable (auto-launches)
Linux (Debian/Ubuntu)	Add NVIDIA repository, apt install

Connection Setup

1. Device and laptop must be on the same LAN
2. Provide device hostname (mDNS format: spark-abcd.local) or IP address
3. Enter username and password
4. Sync generates an SSH keypair, installs the public key on the device, then discards the stored password
5. Creates an SSH alias for future connections (password-free after setup)

Features

• SSH connection control — toggle device connectivity on/off
• Working directory configuration — set default launch location
• Application launchers — one-click launch for:
  • Terminal (SSH session)
  • DGX Dashboard (web UI)
  • VS Code (remote SSH)
  • Cursor (remote SSH)
  • NVIDIA AI Workbench
• Custom port forwarding — map localhost ports to remote services (e.g., JupyterLab on port 8888, API servers, etc.)

Network Discovery

• Uses mDNS (.local suffix) for automatic hostname resolution on the LAN
• Falls back to direct IP address if mDNS fails
• Requires same network — no WAN/internet remote access built in

Troubleshooting

• mDNS resolution failure: Use IP address instead of hostname
• Connection timeout during boot: Wait for device to fully boot
• Authentication failure: Reconfigure connection in Sync app

9. DGX Dashboard (T1 Documented, build.nvidia.com/spark)

DGX Dashboard is a locally-hosted web application for system management and development.

Access

• Local: http://localhost:11000 or desktop shortcut in Ubuntu app launcher
• Remote via NVIDIA Sync: Automatic SSH tunnel (recommended)
• Remote via manual SSH: ssh -L 11000:localhost:11000 user@spark-ip

For JupyterLab remote access, also forward the user-specific port from: /opt/nvidia/dgx-dashboard-service/jupyterlab_ports.yaml

Features

• GPU/system monitoring — real-time resource utilization panels and telemetry
• JupyterLab — one-click launch with pre-configured Python virtual environments
  • Working directory: /home/<USERNAME>/jupyterlab
  • Requirements tracking via requirements.txt
• System updates — package and firmware update management via GUI
• Settings — system configuration interface

Key Relationships

• Runs on: gb10-superchip
• Provides platform for: ai-frameworks
• Setup process: setup-and-config