Technology

Powering Enterprise AI with NVIDIA DGX Spark

The Foundation of Our On-Premises AI Solutions

At GenAI Protos, we believe that enterprise AI should never compromise on data sovereignty. That's why we've built our entire AI service portfolio on NVIDIA DGX Sparka revolutionary AI supercomputer that brings datacenter-class performance to a compact, power-efficient form factor designed for enterprise deployments.

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What is NVIDIA DGX Spark?

NVIDIA DGX Spark represents a new category of AI infrastructure: a desktop AI supercomputer powered by the groundbreaking NVIDIA GB10 Grace Blackwell Superchip. Despite its compact 150mm x 150mm footprint, this remarkable system delivers 1 PETAFLOP of AI performance—bringing capabilities previously reserved for massive datacenter clusters directly to your organization's infrastructure.

Technical Excellence

Unprecedented Computing Power

  • NVIDIA GB10 Grace Blackwell Superchip: The world's most advanced AI processor architecture
  • 1 PFLOP of AI Performance: Capable of processing 1 quadrillion floating-point operations per second at FP4 precision
  • 128GB Unified Memory: Coherent, high-bandwidth memory enabling seamless AI workload processing
  • 200 Billion Parameter Models: Run state-of-the-art large language models locally without cloud dependency

Enterprise-Grade Infrastructure

Robust Hardware Design

  • ConnectX-7 Smart NIC: Advanced networking for high-speed data transfer and cluster connectivity
  • 4TB NVMe Storage: Self-encrypting storage for secure data handling
  • Power Efficient Design: Delivers supercomputer performance in a compact, desk-friendly form factor
  • Complete AI Software Stack: Pre-installed NVIDIA AI software ecosystem for immediate productivity

Why It Matters

Traditional enterprise AI deployments face an impossible choice: send sensitive data to cloud providers for processing, or invest millions in datacenter-scale infrastructure. NVIDIA DGX Spark eliminates this tradeoff, enabling organizations to:

Prototype AI applications with production-grade hardware
Run inference workloads for models up to 200 billion parameters locally
Fine-tune large language models on proprietary data without external exposure
Deploy privacy-first AI solutions that maintain complete data sovereignty
Scale from prototype to production with seamless datacenter compatibility

How GenAI Protos Leverages DGX Spark

We've architected our entire AI service portfolio around NVIDIA DGX Spark's capabilities, creating enterprise solutions that deliver cloud-scale intelligence with on-premises security. Every service we offer runs natively on DGX Spark infrastructure, ensuring that your data never leaves your environment.

Data Sovereignty by Design

Every GenAI Protos solution is engineered to run entirely on your NVIDIA DGX Spark infrastructure. From speech recognition to enterprise search, from document analysis to conversational AI—all processing happens within your firewall. We don't just promise privacy; we architect it into every layer.

Production-Ready Performance

NVIDIA DGX Spark's 1 PETAFLOP of AI performance enables us to deliver real-time responses across all our services. Whether you're running voice AI conversations, searching enterprise knowledge bases, or processing documents, users experience sub-second response times that rival cloud solutions.

Open-Source Foundation

We leverage state-of-the-art open-source AI models optimized for DGX Spark's Grace Blackwell architecture, including:

  • GPT OSS 120B (Reasoning & Generation)
  • NVIDIA Riva (Speech AI)
  • Vector Embedding Models (Semantic Search)
  • Custom Fine-Tuned Models (Domain Specific)

Solutions Built on DGX Spark

1. SparkVault: Enterprise Knowledge Management

The Challenge:

Organizations accumulate terabytes of valuable knowledge trapped in document silos, making critical information nearly impossible to find when needed.

Our Solution:

SparkVault transforms your document repositories into an intelligent knowledge base powered by Retrieval Augmented Generation (RAG). Running entirely on DGX Spark, it combines semantic vector search with the GPT OSS 120B large language model to deliver instant, contextual answers from your private documents.

How DGX Spark Powers SparkVault

vLLM Inference EngineDGX Spark runs vLLM with tensor parallelism, serving the GPT OSS 120B model with millisecond response times
Vector EmbeddingsOn-premises embedding generation utilizing DGX Spark's unified 128GB memory for processing large document batches
Concurrent ProcessingGrace Blackwell architecture handles simultaneous queries from multiple users without performance degradation
Storage Integration4TB NVMe enables local caching of frequently accessed documents and embeddings

Key Capabilities

  • Semantic Search: Understands meaning and context
  • Source Attribution: Every answer includes citations
  • Real-Time Streaming: Responses stream via SSE
  • Multi-Format Support: PDFs, Word, PPT, etc.
  • Role-Based Access: Respects permissions
  • Multi-Tenant Architecture: Isolated workspaces

Performance Metrics

75%
Search Time Reduction
<100ms
Response Initiation
Millions
Documents Supported

2. Legal Case Management System

The Challenge:

Law firms and legal departments need AI-powered assistance for case management but cannot expose client information to external cloud services.

Our Solution:

An enterprise legal assistant built on Agno AgentOS that manages clients, documents, and provides intelligent case search—all running on DGX Spark infrastructure with complete data isolation.

How DGX Spark Powers Legal AI

Agno Agent RuntimeEnables complex agent orchestration with tool calling and multi-step reasoning
Semantic Case SearchVector embeddings generated on-premises for finding similar cases and precedents
Document ProcessingOCR and parsing leverage GPU acceleration for rapid processing of legal files
Concurrent SessionsHandles multiple attorney interactions simultaneously with dedicated memory

Security & Compliance

  • Attorney-client privilege maintained with complete on-premises processing
  • Document-level encryption at rest
  • Comprehensive audit trails for all operations
  • Role-based access control for different attorney levels

3. Sparky: Enterprise Voice AI Assistant

The Challenge:

Organizations need voice AI capabilities but cannot risk sending audio recordings and conversations to third-party cloud services.

Our Solution:

Sparky is a fully on-premises voice AI assistant that combines NVIDIA Riva's industry-leading speech processing with the GPT OSS 120B language model. Every word spoken, transcribed, and generated stays within your DGX Spark infrastructure.

Technical Architecture

  • NVIDIA Riva ASR: GPU-accelerated automatic speech recognition
  • GPT OSS 120B: Advanced language understanding
  • NVIDIA Riva TTS: Neural text-to-speech
  • Silero VAD: Voice activity detection
  • LiveKit: WebRTC-based real-time communication

Performance

<200ms
Speech-to-Text Latency
Real-Time
Streaming TTS
50+
Concurrent Sessions

4. Healthcare AI Models: Finetuning Pipeline

The Challenge:

Healthcare organizations need AI models trained on clinical terminology and workflows, but cannot send sensitive medical data to external fine-tuning services.

Our Solution:

A complete model fine-tuning pipeline running on DGX Spark that trains specialized healthcare AI models on clinical trial data, medical Q&A, and patient visit summaries—all on-premises.

How DGX Spark Powers Model Training

Unsloth FrameworkMemory-efficient fine-tuning leverages 128GB unified memory to train models needing 256GB+
GPU AccelerationGrace Blackwell architecture accelerates training by 3-4x compared to CPU-based approaches
Large Batch SizesUnified memory enables larger batch sizes for faster convergence
Local Model RegistryTrained models stored on 4TB NVMe for instant deployment

Compliance & Security

  • All training data stays on-premises
  • HIPAA-compliant data handling
  • De-identified datasets with privacy guarantees
  • Audit trails for all training runs
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Want to bring NVIDIA DGX Spark into your AI stack?

Speak with our architects about designing on-prem AI solutions on top of DGX Spark for your enterprise.

Frequently Asked Questions

Everything you need to know about the product & billing

Can I start small and scale up?
Do I need internet connectivity?
How does this compare to cloud AI costs?
Can I use my own models?
What about multi-location deployments?