Moving Beyond the Gateway
MegaEdge delivers workstation-class compute and high-wattage GPU scaling with patten thermal design to eliminate downtime.
Aetina MegaEdge Series: x86-Based Edge AI Solution
Aetina MegaEdge series consists of highly expandable, industrial-grade x86-based AI computing systems engineered to bridge high-fidelity sensing with real-time, autonomous decision-making.
Serving as the computational backbone for the Physical AI and Agentic AI era, MegaEdge products feature rich I/O interfaces that seamlessly integrate complex peripheral networks—including sensors, cameras, displays, robotic equipment, etc..
Design for rapid deployment, it targets diverse AI applications across enterprise agentic AI, AI agent,smart city, smart factory, smart retail, healthcare, smart agriculture, etc..
Why Aetina MegaEdge
MegaEdge serves as the heavy-duty powerhouse of the edge ecosystem—stepping in exactly where standard, low-power platforms reach their limits.
Engineered for intensive localized AI model training, real-time Generative AI inference, and autonomous Agentic AI decision-making, MegaEdge delivers uncompromised workstation-class compute directly to the physical edge with zero cloud dependency.
Agentic AI Deployment
MegaEdge delivers secure, on-premises deployment of LLMs and multimodal AI models, providing enhanced data privacy, real-time performance through low-latency inference, and customized AI solutions optimized for edge computing applications.
AI-Enabled Turnkey Solutions
Collaborating with Aetina’s ecosystem partners, MegaEdge delivers vertical, application-specific solutions. These comprehensive end-to-end offerings help developers and integrators accelerate time-to-market for edge AI deployment.
Simplified Fleet Management
MegaEdge supports EdgeEye—Aetina’s centralized cloud platform—enabling clients to efficiently and systematically manage all edge devices through a unified interface.
PCIe and M.2 Architectures
Our expandable system allows developers to effortlessly scale GPU compute or integrate AI accelerators as workloads grow.
Extensive Industrial I/O
Engineered to run intensive, multi-stream vision networks and complex physical robotics simultaneously on-site, ensuring zero cloud dependency and maximum uptime.
MegaEdge Product Lineup
Solution
FAQ
1. What is Aetina MegaEdge? What AI applications is it suitable for?
Aetina MegaEdge is a series of industrial-grade Edge AI computing system designed for high-performance AI inference at the edge. By integrating powerful CPUs and GPUs, it is ideal for applications such as business process Generative AI, Enterprise Agentic AI, AI Agent, automation, smart cities, smart retail, etc.. Compared to cloud-based AI processing, MegaEdge performs AI inference locally, reducing latency while enhancing data security and privacy.
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2. Which NVIDIA GPUs are supported by Aetina MegaEdge?
Depending on the model, the MegaEdge series supports a range of NVIDIA GPUs, including the NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition, NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition, and data center-class GPUs. Users can select the most suitable GPU configuration based on AI model size, inference performance requirements, and power constraints. In addition to NVIDIA GPUs, MegaEdge also supports the Qualcomm Cloud AI 100 Ultra accelerator cards, providing greater flexibility for diverse AI computing workloads.
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3. Which operating systems can be installed on MegaEdge?
MegaEdge supports both Windows and Linux operating systems, including Ubuntu, and is compatible with NVIDIA AI software such as NVIDIA® CUDA® and NVIDIA® TensorRT™. Supported operating system versions may vary by model, so users are advised to refer to the product specifications for compatibility details.
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4. How is MegaEdge different from a standard industrial PC (IPC)?
MegaEdge is more than a traditional industrial PC—it is purpose-built for edge AI computing. In addition to its industrial-grade design, MegaEdge supports high-performance GPUs, AI software frameworks, high-speed I/O interfaces, and prebuild edge AI device management utility, enabling it to run deep learning models directly. This makes it an ideal system for real-time AI inference and edge computing applications.
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5. How do I choose the right MegaEdge model?
When selecting a MegaEdge model, consider factors such as AI model size, GPU performance requirements, installation space, operating temperature, I/O expansion needs, and available power supply. If you are unsure which model best fits your project, Aetina offers product selection guidance and technical consultation to help you identify the optimal solution and accelerate deployment. Contact us to rollout your next system.
