> 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. # Support Matrix This matrix defines the supported OSS targets for NeMo Platform. It covers the Python package, CLI, SDK, local services started by `nemo setup`, and self-managed Kubernetes deployments installed with the NeMo Platform Helm chart. ## Host Platforms | Area | Supported | Notes | | ------------------- | ----------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Deployment mode | `nemo setup` local install; Helm chart on Kubernetes | `nemo setup` starts local services, registers a model provider, and configures the CLI and SDK. The Helm chart is the supported path for self-managed Kubernetes clusters. | | Python | 3.11, 3.12, 3.13 | Use an isolated virtual environment. Python 3.11 is the lowest supported Python version and Python 3.13 is the highest supported Python version. | | Linux | Ubuntu 22.04 LTS, Ubuntu 24.04 LTS, RHEL 9, Rocky Linux 9, Debian 12 | Supported for CLI, SDK, local services, and NVIDIA GPU workloads. | | macOS | [macOS Tahoe 26](https://support.apple.com/en-us/122868) and macOS Sequoia 15 | Supported for CLI, SDK, local services, and cloud/provider workflows. Local NVIDIA GPU workloads are not supported on macOS. | | Architecture | x86\_64 Linux; Apple Silicon and Intel macOS | NVIDIA GPU workloads require x86\_64 Linux. | | Windows and WSL | Not supported for the OSS local install path | Use a supported Linux or macOS host for the local install path. | | Kubernetes clusters | minikube, kind, EKS, AKS, GKE, OKE, OpenShift, and on-prem Kubernetes | See [Install NeMo Platform with Helm](/documentation/self-managed-deployment/helm) for prerequisites and cluster-specific notes. | ## Local Runtime | Area | Supported | Notes | | -------------------- | ------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ | | Package installation | `uv>=0.9.14,<0.10.0` recommended; `pip` supported | The one-line installer sets up `uv` automatically. Published packages can also be installed with `pip install "nemo-platform[all]"`. | | Shell | Bash or zsh | Used by the installer, setup commands, and documented examples. | | Browser | Current Chrome, Edge, Firefox, or Safari | Required for the Studio UI and generated documentation. | ## GPU Support | Area | Supported | Notes | | ---------------- | -------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | CUDA | CUDA 13 or later | GPU workloads require CUDA 13 or later. | | NVIDIA driver | CUDA 13-capable driver, R580 branch or later | See the [CUDA 13.0 release notes](https://docs.nvidia.com/cuda/archive/13.0.0/cuda-toolkit-release-notes/index.html) for exact driver minimums by operating system. | | GPU memory | 40 GB VRAM minimum; 80 GB VRAM recommended | Smaller GPUs can run provider or client workflows, but local model and GPU-accelerated jobs require larger GPUs. | | Recommended GPUs | NVIDIA A100 80GB, H100 80GB, B200 180GB | Use comparable data center GPUs that meet the CUDA and memory requirements for the model or job. | | GPU platform | Linux x86\_64 | macOS and Windows are not supported for local NVIDIA GPU workloads. | ## Resource Profiles | Profile | CPU and memory | Storage | GPU | | ----------------------------------- | ------------------------------------ | --------------------------------------------------------------------- | ------------------------------------- | | CLI, SDK, and hosted-provider setup | 8 GB RAM minimum | 16 GB free disk space | Not required | | Local GPU workloads | 16 GB RAM minimum; 32 GB recommended | Additional tens to hundreds of GB for model artifacts and job outputs | 40 GB VRAM minimum; 80 GB recommended | ## Model Providers | Provider | Support | Notes | | --------------------------------- | -------------------------------------- | ----------------------------------------------------------------------------- | | NVIDIA Build | Supported | Configure with `NVIDIA_API_KEY`. | | OpenAI | Supported | Configure with `OPENAI_API_KEY`. | | Anthropic | Supported | Configure with `ANTHROPIC_API_KEY`. | | Google Gemini | Supported | Configure with `GEMINI_API_KEY`. | | Ollama | Supported for local provider workflows | Ollama must be installed and running before setup. | | Custom OpenAI-compatible endpoint | Supported | Configure `NEMO_DEFAULT_INFERENCE_BASE_URL` and `NEMO_DEFAULT_INFERENCE_KEY`. | ## Out of Scope The following are not part of the OSS support matrix: * Native Windows local install. * Docker Compose deployment guides. * WSL-based local install or GPU validation. * macOS local GPU workloads. * Python earlier than 3.11 or Python 3.14 and later. * CUDA versions earlier than 13 for GPU workloads.