Introduction
Anyone working with AI at the edge of the network (edge computing) knows the problem: a lot of computational power is needed, but space and energy are limited. Large desktop GPUs often don't fit and consume too much power. The Aetina MX500B-QA offers a solution here.
Compact and Powerful
This MXM 3.1 Type A module is equipped with the NVIDIA RTX PRO 500 Blackwell GPU and is designed for extreme conditions. It's ideal for applications such as autonomous vehicles, industrial robots, and smart security systems. Thanks to its compact size, it fits into systems with minimal space while still delivering impressive performance.
Key specifications
- 1.792 CUDA-Cores, 14 RT-Cores & 56 Tensor-Cores
- Up to 9.19 TFLOPS FP32-Precision possible
- 6 GB GDDR7-RAM with 288GB/s bandwidth
- PCIe Gen4 x4-Interface
- TGP of 60W with configurable TDP
- Conformal-Coating for protection against dust and humidity
- Operating temperature range of –40°C to +85°C
Comparison: GPUs and AI accelerators
| Type | Aetina MX500B-QA | Hailo-8 AI-Accelerator | Axelera Metis AIPU | Nvidia RTX A1000 | GeForce RTX 4070 |
| Performance | 9.19 TFLOPS FP32 | 26 TOPS INT8 | 214 TOPS INT8 | 6.74 TFLOPS FP32 | 29 TFLOPS FP32 |
| RAM | 6GB GDDR7 | On-Chip, Modellabhängig | On-Chip, Modellabhängig | 8GB GDDR6 | 12GB GDDR6X |
| Bandwidth | 288GB/s |
not relevant |
not relevant (TOPS Focus) |
192GB/2 | 504GB/s |
| Consumption | 60W | 2.5W - 8.65W | 3.5 - 15W | 50W | ±200W |
| Interface / Format | MXM3.1 Type A | M.2 Key M (2280) | PCIe or M.2 (2280) | Low-profile PCIe Gen4 x8 | Full-size PCIe Gen4 x16 |
| Ruggedness | -40°C / +85°C, Conformal-Coating |
-40°C / +85°C | Industry quality | Workstation Standard | No industrial protection |
| Ideal for | Edge-AI in vehicles, Robots, Industry | Ultralow-Power AI-Inference | High-performance AI-image processing | CAD, Visualization, generative AI | Gaming, Rendering, creative production |
Conclusion
The Aetina MX500B-QA is the choice for those seeking powerful AI performance in a compact, rugged form factor. Thanks to its industrial certification and efficient energy consumption, it is perfect for edge computing in challenging environments.
For pure AI inference with ultra-low consumption, an accelerator like the Hailo-8 or Axelera Metis may be more suitable. For office workstations, the RTX A1000 provides a good middle ground, while the GeForce RTX 4070 offers maximum graphical power for creative professionals and gamers.