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Geniatech AIM‑B2 is a compact, high‑performance AI acceleration module powered by the Kinara Ara‑2 processor. It delivers up to 40 TOPS of INT8 performance at just 12W, enabling low‑latency, energy‑efficient AI inference for generative AI and demanding edge computing applications.
Powered by Kinara Ara‑2, the AIM‑B2 delivers up to 40 TOPS INT8 at only 12W. It balances high throughput with efficiency for edge and generative AI workloads.
This compact (40 × 55 mm), production‑ready module embeds easily into existing designs. It significantly cuts development time and engineering complexity.
It supports leading frameworks like TensorFlow, PyTorch, ONNX, Caffe, and MXNet. You can seamlessly deploy models from YOLOv8 and LLaMA 2 to Stable Diffusion.
Capable of processing ResNet50 in 2 ms and Stable Diffusion in 10 seconds, it delivers real‑time inference critical for vision, language, and generative AI applications at the edge.
Equipped with a high‑speed PCIe Gen4 ×4 interface, it ensures rapid data transfer and seamless integration with a wide range of host platforms such as NXP, NVIDIA, Qualcomm, and Xilinx.
The modular design streamlines the Bill of Materials (BOM) and engineering effort, effectively lowering overall system costs and accelerating time‑to‑market for scalable deployments.
AIM‑B2 ensures consistent performance and long‑term stability in industrial settings, with up to 16 GB LPDDR4X memory and a 0 °C – 70 °C operating range
Provided as a full package with optimized drivers, SDKs, and toolchains. Geniatech further accelerates your project with expert customization support and integration services.
| Chip | Kinara Ara-2 |
| AI performance | 40 TOPS, Support llama2.0 and Yolov8 |
| Host Processor | NXP,Nvidia,Qualcomm,Xilinx |
| AI Model Frameworks Supported | TensorFlow,Torchscript, PyTorch&ONNX, Caffe, Mxnet |
| Memory | Up to 16GB LPDDR4(X) |
| Host Interface | B2B(4-lane PCIE Gen4) |
| OS Support | Linux, Windows |
| Power Consumption(Typical) | 12W |
| Operating Temperature | 0℃~70℃ |
| Dimensions | 40×55mm |
