> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo-platform/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo-platform/_mcp/server.

# v0.3.0 - 2026-07-28

NeMo Platform v0.3.0 expands the OSS distribution beyond local setup with
self-managed Kubernetes and Helm documentation, while continuing to support
the local-first Python package, CLI, SDK, Studio, and plugin workflows.

## Highlights

* **Self-managed Kubernetes.** The docs now cover Helm-based deployment to
  user-managed Kubernetes clusters, including local Kind workflows and
  cluster prerequisites.
* **Agent deployment docs.** Agent container deployment guidance covers local
  and Kubernetes paths and clarifies how SDK, CLI, and REST callers resolve
  default model placeholders.
* **Versioned compatibility.** Requirements and support-matrix pages describe
  the 0.3.0 release instead of the previous local-only scope.
* **Generated reference docs.** The configuration reference remains generated
  from platform config models and renders as regular Fern MDX.

## What's included

### Platform

* Local source-install workflows with `make bootstrap`, `nemo setup`, and
  `nemo services run`.
* Self-managed Helm/Kubernetes documentation for users deploying the platform
  outside the local developer process.
* Source-install auth and OIDC bootstrap guidance for users who enable RBAC
  locally.

### Agents

* NAT-based agent workflow support through `nemo agents`.
* Agent container rendering, building, publishing, and deployment guidance.
* SDK and CLI examples that use the configured default model for agent
  registration.

### Models and Inference

* Inference Gateway support for provider registration, virtual models, and
  OpenAI-compatible routing.
* Local and provider-backed model workflows for CLI, SDK, Studio, and agents.

### Plugins

* First-party plugin workflows continue from the previous release line,
  including Agents, Customizer, Safe Synthesizer, Auditor, Guardrails,
  Evaluator, Anonymizer, Data Designer, Switchyard middleware, and
  Deployments.
* Plugin docs cover runtime service, CLI, job, controller, inference
  middleware, and coding-agent skill surfaces.

## Install

For a fresh local checkout:

```bash
git clone https://github.com/NVIDIA-NeMo/nemo-platform.git
cd nemo-platform
make bootstrap
source .venv/bin/activate
nemo setup
```

See [Setup](/documentation/get-started) for prerequisites and provider
configuration.

For self-managed Kubernetes, start with
[Install NeMo Platform Helm Chart](/documentation/self-managed-deployment/setup/helm/install).

## Upgrade from v0.2.x

From an existing local checkout:

```bash
git fetch
git checkout main
make bootstrap
source .venv/bin/activate
nemo setup
```

After setup, restart local services before using CLI, SDK, Studio, or plugin
workflows against the upgraded checkout.

## Compatibility

* Python 3.12-3.13
* macOS and Linux for local CLI, SDK, Studio, and hosted-provider workflows
* Linux x86\_64 for local NVIDIA GPU workloads
* Self-managed Kubernetes clusters deployed with Helm
* Docker for Docker-backed platform, job, and local model-serving workflows
* NVIDIA GPU access for local training, model serving, and GPU-backed
  synthetic data workflows
* Node 22.18.0+ for Studio assets
* Platform API and `nemo-platform` Python SDK `0.3.0`

## Current constraints

* **Self-managed scope.** v0.3.0 documents local setup and user-managed
  Kubernetes deployment. It is not a managed hosted-service release.
* **Docker model serving.** v0.3.0 includes vLLM deployment in Docker. Docker
  deployment for NIM is not included in this release.
* **Customizer Docker support.** Docker-backed Customizer jobs target GPU
  Linux environments. ARM64 images and NeMo Automodel Docker execution are not
  part of this release.
* **Auth and RBAC.** Source-install auth and OIDC setups require the bootstrap
  IAM seed step described in [Setup](/documentation/get-started). Validate
  role bindings for your deployment mode before relying on them for multi-user
  access control.
* **Skill Evaluation.** Skill Evaluation workflows are not included in
  v0.3.0.

## Links

* Repository: [https://github.com/NVIDIA-NeMo/nemo-platform](https://github.com/NVIDIA-NeMo/nemo-platform)
* Issues: [https://github.com/NVIDIA-NeMo/nemo-platform/issues](https://github.com/NVIDIA-NeMo/nemo-platform/issues)
* NeMo Agent Toolkit: [https://docs.nvidia.com/nemo/agent-toolkit/latest/](https://docs.nvidia.com/nemo/agent-toolkit/latest/)