DGX Spark: Your AI Lab in a Box
Private AI Agent in a Box – Powered by NVIDIA DGX Spark
DGX Spark is a petaflop-class NVIDIA system that runs your own copilots, RAG, and AI agents on your data, inside your perimeter. Fast to deploy, easy to scale into a full AI Factory.
- Run advanced open models and RAG locally
- Keep data fully sovereign and compliant
- Scale from 1 box to DGX / OVX and full AI Factories
128GB
Unified Memory
1.2kg
Weight
200B
Parameters
What Is DGX Spark
DGX Spark is a compact NVIDIA system built on the same architecture as DGX, OVX, and DGX Cloud. It brings enterprise-grade AI capability into a desktop-sized form factor, ideal for pilots, labs, and secure environments.
AI Lab in a Box
Build, test, and refine AI projects in days. Extremely portable with a small footprint (≈15×15×5 cm, 1.2 kg), carry it between offices or countries.
Scale When Ready
Clear upgrade path with the same software concepts as DGX/OVX/Cloud—containers, APIs, and model serving frameworks.
Sovereign AI Sandbox
All compute and data stays inside your perimeter with full offline capability. Easier compliance with regulators and security teams.
Predictable Economics
One-time CapEx for years of usage with no per-hour cloud GPU billing or surprise costs from usage spikes.
High-Impact Use Cases on Day One
DGX Spark delivers immediate value across diverse AI applications
Private Copilots & Knowledge Assistants
Deploy secure, internal copilots for HR, compliance, or operations. Keep sensitive knowledge within your organization.
Secure Document Intelligence
Automate extraction, tagging, and summarization of confidential reports or forms without cloud exposure.
Branch / Plant Intelligence Node
Analyze sensor and camera feeds locally, summarize insights with LLMs at the edge for real-time decision making.
Multi-Agent Workflows
Run coordinated agents for reporting, scheduling, or data-driven automation. Orchestrate complex AI workflows.
Data Science Turbo Node
Accelerate existing analytics, training, and feature engineering using GPU-optimized frameworks for faster insights.
AI Agent Deployments on DGX Spark
Run production-grade autonomous and multi-agent systems entirely on your DGX Spark — fast token streams, private memory, and full control of tools, policy and data.
Anatomy of an agent on DGX Spark
Agent Runtime
On-device LLM inference via NVIDIA NIM, vLLM or Ollama. Sub-second token latency, no cloud round-trips, fully air-gapped.
Tool Use & Function Calling
Agents invoke your internal APIs, databases and SaaS systems through structured function calls. ReAct, JSON-Schema and MCP supported out of the box.
Persistent Memory & RAG
Local vector store (Milvus, Qdrant, pgvector) keeps long-term agent memory and document context private — never leaves the box.
Orchestration & Guardrails
LangGraph / CrewAI / AutoGen graphs coordinate multi-agent workflows. NeMo Guardrails enforce policy, PII redaction and safe-action boundaries.
Deployment patterns
Single Autonomous Agent
Bounded tasks like ticket triage, code refactor, data extraction
Typical capacity
Multiple concurrent agent loops on one Spark
Multi-Agent Team
Research → reason → write workflows with specialist roles (planner, retriever, critic)
Typical capacity
Coordinated graph of 3–6 specialist agents
Hierarchical Agent Swarm
Long-running operations: lead-gen, due diligence, autonomous reporting
Typical capacity
Supervisor agent + worker pool via async queue
Agents we deploy
Internal Knowledge Copilot
A grounded RAG agent that answers staff questions over Confluence, SharePoint and SOPs. All data stays on Spark; conversations never leave your network.
- Sub-second first-token latency
- Every answer cited to source documents
- Hundreds of concurrent users on a single Spark
Document Intelligence Agent
Reads contracts, invoices or compliance reports, extracts structured fields, flags anomalies and routes for human review.
- High-volume batch + interactive document processing
- OCR + LLM + validation in a single pipeline
- Air-gapped from cloud OCR services
Operations & Incident Agent
Watches logs, telemetry and alerts; correlates events, drafts runbooks and opens tickets via your ITSM API.
- Real-time stream ingestion
- 24×7 unattended operation
- Reduces tier-1 triage toil
Sales & Research Swarm
A team of agents researches prospects, drafts personalised outreach, books meetings and updates CRM — overnight, in-house.
- Overnight batch account qualification
- Zero data leakage to LLM vendors
- Plugs into HubSpot / Salesforce / Outlook
Frameworks & runtimes we support
Deploy AI agents on your data, your hardware.
In a 30-minute discovery call we’ll map your highest-value agent use case to a DGX Spark pilot — framework choice, security model, integration plan and rollout timeline.
Why DGX Spark – Clear Advantages
vs Cloud GPUs
Total Control
Complete control over data and cost with no cloud dependencies
Predictable Pricing
No per-hour GPU billing or surprise costs from usage spikes
Consistent Performance
No shared tenancy or performance variability
vs DIY Workstations
128 GB Unified Memory
Handles large models effortlessly without memory constraints
Ready to Run
Ships with DGX OS and NVIDIA AI Enterprise pre-configured
Enterprise Networking
ConnectX networking enables multi-Spark or cluster expansion
vs Full DGX / OVX
Ideal Entry Point
Perfect for labs and small teams before scaling up
Seamless Upgrade Path
Direct migration to full-scale DGX/OVX clusters when ready
Same Software Stack
Use identical tools throughout your AI journey
From One Box to an AI Factory
Start small and scale seamlessly with a unified architecture
DGX Spark on Your Desk
Run pilots and prototypes. Validate AI use cases with real data in a secure environment.
Multiple Sparks Connected
Scale workloads and teams. Add capacity by connecting multiple Spark systems together.
DGX / OVX Cluster
Move to production-grade AI Factory. Deploy enterprise-scale infrastructure with proven ROI.
Hybrid with DGX Cloud
Extend capacity securely when needed. Burst to cloud while maintaining on-prem control.
How AIdeology Delivers DGX Spark Projects
Strategy & Use-Case Discovery
Identify high-value opportunities aligned with your business goals. We work with your team to prioritize AI use cases that can deliver impact quickly.
Enablement & Integration
Since Spark arrives pre-configured, our focus is on enabling your team: connecting data sources, deploying your chosen copilots or frameworks, and ensuring security and governance are properly aligned.
Pilot Build-Out (4–8 Weeks)
Deploy multiple AI use cases across different functions using your own data — from copilots and document intelligence to analytics or automation.
Scale-Up Roadmap
Define the path from pilot to full AI Factory. Plan expansion to DGX or OVX clusters, including performance benchmarking, ROI modeling, and training for internal teams.
Common Questions About DGX Spark
Ready to Start Your AI Factory?
DGX Spark is the fastest, safest way to make AI real with your data and your rules — a single box that grows with your ambition.
Book a Discovery Call