NVIDIA AI Enterprise Services

Deploy enterprise AI at
the speed of the GPU

Urdaten Richit designs, deploys, and manages NVIDIA AI Enterprise — NIMs, Agents, and RAG architectures — 24/7, on any cloud or on-premises.

NVIDIA

The enterprise software suite for accelerated AI

NVIDIA AI Enterprise delivers optimized frameworks, inference microservices (NIMs), and agent tooling — purpose-built to deploy, scale, and operate AI on NVIDIA GPU infrastructure.

Speak with an NVIDIA specialist

Use cases

Built for critical enterprise AI workloads

Retrieval-Augmented Generation

Accelerated RAG Generation

Contextual answers in milliseconds using GPU-accelerated vector embeddings and intelligent caching.

  • GPU-accelerated vector embedding over enterprise knowledge bases
  • Sub-millisecond nearest-neighbor retrieval with intelligent query caching
  • Connects to any document store, database, or API source
  • Query vector
  • Top-K matches
  • Candidate vectors

Vector search in graph space · Top-K nearest-neighbor retrieval

Conversational Agents

Conversational AI Agents

Custom AI assistants with context memory and automated actions for mission-critical enterprise systems.

  • Multi-step reasoning with persistent session context
  • Tool use and API integration with existing enterprise systems
  • Human-in-the-loop escalation and audit trail

Document Intelligence

Document AI

Real-time document processing with NIMs for entity detection, validation, and structured generation.

  • Handles PDF, DOCX, images, and scanned documents at scale
  • Named entity recognition and structured data extraction
  • Output connects directly to downstream workflows and APIs

Why Urdaten Richit

Enterprise AI expertise, not just GPU access

We are an authorized NVIDIA partner with 15+ years of ML and data science experience. We don't just deploy — we design, implement, and operate enterprise AI systems end-to-end.

NVIDIAAuthorized Partner

  • 15+ years of ML & data science

    Designing multi-cloud and on-premises data science and ML infrastructure for enterprise clients since 2010.

  • Authorized NVIDIA partner

    Certified engineers in AI Enterprise, NIMs, and TensorRT — with direct access to NVIDIA technical resources.

  • RAG & Agents expertise

    We combine LLMs, vector search, and GPU compute to build intelligent assistants that act on real-time enterprise data.

  • Any cloud or on-premises

    VMware, Kubernetes, OpenShift, AWS, GCP, or Azure — tailored to your compliance requirements and stack.

Our services

End-to-end NVIDIA AI Enterprise services

  1. GPU Architecture Design

    AI infrastructure design tailored to your workloads, compliance needs, and GPU resource constraints.

  2. Enterprise Deployment

    NVIDIA AI Enterprise implementation on VMware, Kubernetes, and OpenShift with full automation.

  3. NIMs & Agents Implementation

    Deploy inference microservices and intelligent agents connected to your enterprise systems and data.

  4. Managed GPU Operations

    24/7 GPU monitoring, driver updates, software patches, and continuous performance optimization.

FAQ

Frequently asked questions

What is NVIDIA AI Enterprise and what does it include?

NVIDIA AI Enterprise is an end-to-end software platform for building and running AI applications on GPU infrastructure. It includes optimized frameworks (TensorRT, Triton Inference Server, NeMo), production-ready NIM microservices for popular LLMs and embedding models, agent tooling, and enterprise-grade support — all certified for VMware, Kubernetes, OpenShift, and major public clouds.

Do we need on-premises GPU hardware to deploy?

Not necessarily. NVIDIA AI Enterprise runs on certified GPU nodes in any environment — on-premises, private cloud (VMware, OpenShift, Kubernetes), or public cloud (AWS, GCP, Azure). Urdaten Richit assesses your infrastructure and compliance requirements and recommends the deployment model that fits your context.

What are NIMs and how do they differ from open-source models?

NVIDIA Inference Microservices (NIMs) are pre-built, containerized AI inference endpoints that deploy in minutes. Each NIM ships with TensorRT-LLM optimization, a standard OpenAI-compatible API, and enterprise SLA guarantees. Unlike raw open-source models, NIMs eliminate the engineering effort of packaging, optimizing, and operating a model at production scale — and come with NVIDIA support.

How long does a typical deployment take?

A standard deployment takes between 4 and 8 weeks depending on infrastructure complexity and the number of use cases in scope. The engagement starts with a no-cost use-case evaluation, followed by architecture design, deployment, and validation. Urdaten Richit manages every phase end-to-end.

What post-deployment support does Urdaten Richit provide?

We provide 24/7 managed GPU operations: monitoring, incident response, driver and software updates, capacity planning, and performance optimization. We act as an extension of your engineering team, with defined SLAs and direct NVIDIA escalation paths when needed.

Which AI models are available as NIMs?

The NIM catalog includes large language models (Llama 3, Mistral, Mixtral, NVIDIA Nemotron), embedding models (NV-Embed), rerankers, vision-language models, and specialized models for speech, code, and image understanding. The catalog expands with each NVIDIA AI Enterprise release, and custom model fine-tuning with NeMo is also available.

Where do you operate?

We work with clients across the United States, Mexico, and Latin America — fully remote. Our team is distributed to match your time zone and language needs, with no requirement for on-site presence at any stage of the engagement.

Ready to put AI at the center of your architecture?

Get a no-cost evaluation of your use case with an Urdaten Richit NVIDIA specialist.

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