> This page is for version 3.0.0 (Latest) (default).
> For other versions, use one of these documentation indexes:
> - 3.0.0 (Latest) (default): https://docs.nvidia.com/nim/financial-fraud-training/3.0.0/llms.txt
> - 2.0.0: https://docs.nvidia.com/nim/financial-fraud-training/2.0.0/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/financial-fraud-training/1.0.0/llms.txt

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

# Support Matrix

## Container

| Item | Value |
|---|---|
| Container image | `nvcr.io/nvidia/cugraph/financial-fraud-training:3.0.0` |
| Base image | NVIDIA cuGraph + PyG |
| CUDA version | 12.6 |
| Python version | 3.10 |

## Inference Server

| Item | Value |
|---|---|
| Triton Inference Server | `nvcr.io/nvidia/tritonserver:26.04-py3` |
| Triton HTTP port | 8000 |
| Triton gRPC port | 8001 |
| Triton metrics port | 8002 |

> Triton artifacts generated by v3.0.0 training are not compatible with earlier Triton server versions.

## Supported GPU Architectures

| Architecture | Example GPUs | Supported |
|---|---|---|
| Ampere | A100 40GB, A100 80GB, A6000 | Yes |
| Hopper | H100 80GB | Yes |

## Supported Data Formats

| Format | Extension | Training | Inference |
|---|---|---|---|
| CSV | `.csv` | Yes | Yes |
| Apache Parquet | `.parquet` | Yes | Yes |
| Apache ORC | `.orc` | Yes | Yes |
| NumPy (masks only) | `.npy` | Yes | — |

Formats can be mixed within a single dataset. Mask files (train/val/test splits) are always `.npy` regardless of data format.

## Supported Model Kinds

| `kind` | Description |
|---|---|
| `GNN_XGBoost` | Edge-level fraud prediction (default) |
| `GNN_XGBoost_NP` | Node-level fraud prediction |
| `XGBoost` | XGBoost-only baseline (no GNN); trains directly on node feature vectors |

## Supported GNN Encoders

| Encoder | `encoder` value |
|---|---|
| GraphSAGE | `sage` |
| Graph Attention Network | `gat` |
| Graph Transformer | `transformer` |
| GeneralConv | `general` |

## Supported LLM Providers (Explainability)

Any OpenAI-compatible endpoint is supported:

| Provider | Notes |
|---|---|
| NVIDIA NIM | Default; set `NVIDIA_API_KEY` |
| OpenAI | Set `LLM_API_KEY`, `LLM_BASE_URL`, `LLM_MODEL` |
| Azure OpenAI | Set `LLM_API_KEY`, `LLM_BASE_URL`, `LLM_MODEL` |
| vLLM (self-hosted) | Set `LLM_API_KEY`, `LLM_BASE_URL`, `LLM_MODEL` |