Unstructured x NVIDIA

Partnership

AI is going on-prem fast. For industries with strict data requirements, on premises deployment is no longer optional. NVIDIA’s Blackwell platform delivers the performance. Unstructured delivers the data. Together, we turn raw enterprise files into structured, enriched, and embedded content powered by GPU-accelerated microservices and deployed entirely on your infrastructure.

Accelerate GenAI with the most performant, enterprise-grade preprocessing stack for RAG, agents, and training.

AI-Ready Data at Blackwell Speed

Your next AI product depends on the quality and readiness of your data. Unstructured integrates deeply with NVIDIA NIM microservices to deliver performant, accurate, and secure data transformation pipelines for agentic and retrieval-augmented systems—no cloud dependencies, no compromises.

Challenge	Unstructured + NVIDIA Solution	Business Impact
Sensitive enterprise data can’t leave the perimeter	All data processing and enrichment runs locally, including OCR, VLMs, LLMs, and embedding	Stay compliant with data sovereignty and privacy regulations
Complex documents (PDFs, scans, images) slow down GenAI	GPU-accelerated extraction with NeMo Retriever, VLM NIMs, and OCR	15x faster throughput and up to 50% fewer inaccuracies
Manual preprocessing limits GenAI scalability	Auto-scaling, element classification, prompt optimization, and file-type detection	Reduce human-in-the-loop effort, accelerate time-to-value
Fragmented tooling for unstructured pipelines	Unified orchestration layer with connectors, scheduling, and observability	Simplify deployment and reduce maintenance burden

Build Your AI Factory With NVIDIA + Unstructured

Unstructured acts as the data engine within the NVIDIA Enterprise AI Factory architecture. From raw files to enriched vectors, we transform enterprise knowledge into machine-readable fuel optimized for performance, precision, and scale.

Capability:	NVIDIA Brings:	Unstructured Brings:
GPU-accelerated model inference	NeMo Retriever, LLM NIMs, VLM NIMs	Native integration with document routing + prompt optimization
Multimodal extraction (text, tables, charts, images)	NeMo Retriever + Multimodal NIMs	Smart document enrichments, element classification, page/reading order detection
Embedding for retrieval	NeMo Embedding NIMs	Essential pre-embedding processing, including smart chunking, metadata enrichment, and routing to vector stores
Pipeline orchestration	Validated AI Factory architecture	Source/destination connectors, scheduling, observability, error handling, scalability
On-prem performance	Blackwell + NVIDIA AI Enterprise	Full pipeline deployable on VPC, bare metal, or air-gapped systems

Key Features

Accelerated Multimodal Preprocessing
Extract structured content including images, tables, and charts with NeMo Retriever microservices up to 15x faster than legacy approaches.
Integrated LLM and VLM Enrichment
Enrich documents with image descriptions, table summaries, named entity tags, and more using LLM and VLM NIMs, optimized through prompt tuning.
Smart Chunking & Embedding
Intelligently chunk enriched content and embed it using high-performance NIM models for optimal RAG and agent performance.
Auto-Scaling, Scheduling, and Fault Tolerance
Run workflows across thousands of files with horizontal scalability, retry logic, incremental updates, and observability built in.
On-Prem, Cloud, VPC, and Bare Metal Installers
Deploy wherever you need: your data stays in your environment, under your control.
Full Observability and Enterprise Controls
Support for SSO, billing, logging, organizational accounts, and observability for secure, governed operations.

Use Cases

Getting Started with Unstructured and NVIDIA

Unstructured integrates seamlessly into the NVIDIA Enterprise AI Factory design. We’ll help you deploy a fully orchestrated, GPU-optimized document processing pipeline tailored to your use case.

Reach out to our team to get started.