Support Matrix
This matrix defines the supported OSS local-install target for NeMo Platform 0.1.0. It applies to the Python package, CLI, SDK, and local services started by nemo setup.
Docker Compose, Helm, Kubernetes, and OpenShift deployment paths are not part of the OSS 0.1.0 documentation scope.
| Area |
Supported |
Notes |
| Deployment mode |
nemo setup local install |
Setup starts local services, registers a model provider, and configures the CLI and SDK. |
| Python |
3.11, 3.12, 3.13 (>=3.11,<3.14) |
Use an isolated virtual environment. Python 3.11 is the lowest supported Python version and Python 3.13 is the highest supported Python version for the OSS local install path. |
| 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 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 in the OSS 0.1.0 support matrix |
Use a supported Linux or macOS host for the local install path. |
Local Runtime
| Area |
Supported |
Notes |
| Package installation |
uv recommended; pip supported |
The one-line installer sets up uv automatically. Published packages can also be installed with pip install nemo-platform. |
| 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 12.8 or later |
GPU Python dependencies are built for CUDA 12.8. |
| NVIDIA driver |
CUDA 12.8-capable driver, R570 branch or later |
See the CUDA 12.8 release notes 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 0.1.0 local support matrix:
- Native Windows local install.
- Docker Compose, Helm, Kubernetes, and OpenShift deployment guides.
- WSL-based local install or GPU validation.
- macOS local GPU workloads.
- Python earlier than 3.11 or Python 3.14 and later for the documented OSS local install path.
- CUDA versions earlier than 12.8 for GPU-enabled Python dependencies.