---
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

title: "NeMo Platform"
description: ""
---
Make the agents you ship faster, more accurate, and safer.

NeMo Platform brings NVIDIA NeMo libraries together under one CLI, Python SDK, and web UI. Hardening, evaluation, and tuning for the agents you put in production.

## Architecture

NeMo Platform exposes the same local services through the CLI, Python SDK, Studio, and REST APIs. First-party capabilities share platform infrastructure for inference, credentials, files, entities, and job execution.

## What You Can Do

- **Secure agents.** Guardrails (content safety, jailbreak detection, PII redaction), Auditor (red-teaming via garak), Anonymizer (PII handling for training data).
- **Evaluate agents.** LLM-as-judge, deterministic, agentic, and RAG benchmarks. Harbor-backed eval suites for regression testing.
- **Tune agents.** Skill optimization, prompt and hyperparameter tuning, Switchyard model routing.
- **Build agents.** Create platform-managed agents with agent.yaml, with legacy support for NAT-based LangGraph agents. Shared infrastructure: Inference Gateway, Secrets, Files, Entity Store, Jobs.
- **Generate synthetic data.** Generate synthetic data for training or evaluation purposes using Data Designer.
- **NeMo Studio (alpha).** Installed automatically with the platform. Studio is a browser UI for chatting with agents and models, starting and monitoring various jobs, and reviewing results. Studio's agent-focused features are still a work in progress; the CLI is the primary surface today.

## Platform Capabilities

The platform provides several shared capabilities to NeMo libraries.

- [Models and Inference](/documentation/models-and-inference) for model providers, virtual
  models, and gateway calls.
- [Files](/documentation/get-started/core-concepts/manage-files), [Secrets](/documentation/get-started/core-concepts/manage-secrets),
  [Entities](/documentation/get-started/core-concepts/entities), and jobs for storing state and
  running local work.

## Architecture Diagram

```mermaid
flowchart TB
    Users["Users and applications"]

    subgraph AccessTier["UNIFIED ACCESS"]
        direction LR
        CLI["NeMo CLI"]
        SDK["Python SDK"]
        Studio["NeMo Studio"]
        REST["REST APIs"]
        CLI ~~~ SDK ~~~ Studio ~~~ REST
    end

    subgraph CapabilityTier["SERVICES"]
        direction LR
        Agents["Managed Agents"]
        Optimization["Optimization"]
        Guardrails["Guardrails"]
        Evaluator["Evaluator"]
        FineTuning["Fine Tuning"]
        Auditor["Auditor"]
        DataDesigner["Data Designer"]
        Anonymizer["Anonymizer"]
        SafeSynthesizer["Safe Synthesizer"]
        Agents ~~~ Optimization ~~~ Guardrails
        Evaluator ~~~ FineTuning ~~~ Auditor
        DataDesigner ~~~ Anonymizer ~~~ SafeSynthesizer
    end

    subgraph SharedTier["PLATFORM CAPABILITIES"]
        direction LR
        IGW["Models and Inference"]
        Secrets["Secrets"]
        Files["Files"]
        Entities["Entity Store"]
        Jobs["Jobs"]
        IGW ~~~ Secrets ~~~ Files
        Entities ~~~ Jobs
    end

    subgraph ProviderTier["MODEL PROVIDERS"]
        direction TB
        NVIDIABuild["NVIDIA Build"]
        OpenAI["OpenAI"]
        Anthropic["Anthropic"]
        Gemini["Gemini"]
        Ollama["Ollama"]
        NVIDIABuild ~~~ OpenAI ~~~ Anthropic ~~~ Gemini ~~~ Ollama
    end

    subgraph OutputTier["OUTPUTS"]
        direction TB
        Datasets["Datasets"]
        Configs["Configs"]
        Reports["Reports"]
        JobArtifacts["Job artifacts"]
        Datasets ~~~ Configs ~~~ Reports ~~~ JobArtifacts
    end

    Users --> AccessTier
    AccessTier --> CapabilityTier
    CapabilityTier --> SharedTier
    SharedTier --> ProviderTier
    SharedTier --> OutputTier
```

## Where to Go Next

- [Setup](/documentation/get-started) - install, configure providers, and run
  local services.
- [About Agents](/documentation/agents) - learn the managed agent lifecycle.
- [Optimize Agents](/documentation/agents/optimize-agents) - improve cost, quality, and model
  routing.
- [Secure Agents](/documentation/agents/secure-agents) - harden agents with guardrails and data
  safety checks.
