# Product Overview

```{toctree}
:hidden:
:caption: Installation
:maxdepth: 2

driver-installation
firmware-update
compatibility
```

```{toctree}
:hidden:
:caption: Guide
:maxdepth: 2

core-mode
modelconfig
```

```{toctree}
:hidden:
:caption: Supported Hardware
:maxdepth: 2

aries-mla100-pcie-card
aries-mla100-mobile-express-module-mxm
aries-mlx-a1-edge-ai-box
```

![The Mobilint ARIES NPU](../res/image/ARIES_CHIP.jpg)

ARIES is Mobilint's AI accelerator NPU — engineered for high-performance,
low-power deep-learning inference at the edge. It powers a family of products,
from PCIe add-in cards to a fully integrated edge AI PC. This manual covers the
ARIES hardware line-up and how to run it on a host system: identify your product,
install the driver, keep firmware up to date, and tune the accelerator's cores
for your workload.

- 80 TOPS — AI inference performance
- 25 W — Typical power consumption 
- 3,082 FPS — ResNet-50 inference
- 11.3 TPS/User — Llama-3.2-3B-Instruct

| Model | Specification |
| --- | --- |
| MobileNetV 2 | 11,551 FPS |
| ResNet-50 | 3,082 FPS |
| YOLO11s | 784 FPS |
| YOLO11l | 274 FPS |
| YOLO26m | 343 FPS |
| Llama-3.2-3B-Instruct | 14.62 TPS/User |
| Qwen3-1.7B | 25.92 TPS/User |

## Installation

Prepare a host system so it can detect and use an ARIES device.

- [Driver Installation](driver-installation.md): install the kernel driver that
  exposes the NPU to your operating system.
- [Firmware Update](firmware-update.md): bring a PCIe device up to the latest
  firmware for stable, optimal operation.
- [Checking Compatibility](compatibility.md): verify your driver, runtime, and
  firmware versions are a supported combination.

## Guide

Get the most out of the accelerator once it is up and running.

- [Core Mode](core-mode.md): the four core-collaboration modes — Single, Multi,
  Global4, and Global8 — and how to choose the right one for your workload.
- [ModelConfig Configuration](modelconfig.md): assign the NPU cores and core mode
  for each model through the runtime's `ModelConfig` object.

## Supported Hardware

ARIES ships in several form factors, from a PCIe add-in card to a fully
integrated edge AI PC. Select your product to review its host-system and
software prerequisites.

- [MLA100 PCIe Card](aries-mla100-pcie-card.md): ARIES NPU on a PCIe
  add-in card for servers and workstations.
- [MLA100 MXM Module](aries-mla100-mobile-express-module-mxm.md): ARIES NPU
  as an MXM 3.1 module for embedded and carrier-board systems.
- [MLX-A1 Edge AI Box](aries-mlx-a1-edge-ai-box.md): Turnkey, self-contained
  edge AI Box with an ARIES MXM module preinstalled.
- **MLA400 PCIe Card**: Featuring a quad-ARIES architecture, the MLA400
  PCIe card delivers massive AI throughput with outstanding power efficiency.
  Documentation coming soon.

## Related Documentation

Runtime and compiler references live in their own Mobilint documentation
families.

- <a href="https://docs.mobilint.com/runtime/">Runtime Manual</a>: SDK installation, the runtime API, and
  the inference workflow.
- <a href="https://docs.mobilint.com/compiler/">Compiler Manual</a>: compiling deep-learning models into
  the MXQ format for ARIES.