Say goodbye to computers that falter under the weight of high-speed Artificial Intelligence inferencing challenges. Combination of CPU computing power and GPU graphics acceleration tackle the bottleneck and provides the fastest and most accurate results for image processing, data interpretation, AI acceleration, improving productivity and efficiency.
MegaEdge AIP-KQ67 is the flexible GPU-expansion AI inference platform, blending the latest Intel 13th i9/i7/i5 CPU and GPU-accelerated computing capabilities from exceptional NVIDIA RTX™ GPUs. Empower your automatic inspection, process control, robot guidance, and surveillance security applications with a durable, compact, and trustworthy solution that’s not just built for today image processing but tomorrow’s edge AI challenges.
Quick Configuration and Turn-key Support
By collaborating with Aetina’s ecosystem partners, MegaEdge AIP-KQ67 provides vertical, application-oriented turn-key solutions, including platforms, software, tools, and SDKs. These comprehensive end-to-end offerings help developers and integrators accelerate time-to-market projects for edge AI.
Smart Factory –
AOI AI Defect Detection
Smart Factory –
AOI AI Defect Detection
The GPU-powered Scalable Edge AI Inference Platform
The AIP-KQ67, endorsed by NVIDIA Certified System (NCS) with the NVIDIA A2 Tensor Core GPU and can be powered by blazing-fast NVIDIA RTX series GPUs (up to 300W). This translates to exceptional processing muscle for real-time image analysis, object recognition, and edge inference – all at your fingertips.
Feature Highlights
- Certified by NVIDIA NCS (NVIDIA Certified System).
- Supports NVIDIA RTX PCIe x16 graphics cards up to 300W (Paired with an 850W PSU).
- Features Intel 12th /13th Gen. processor with Intel Q670E chipset.
- Supports 4x DDR5 U-DIMM up to 128GB.
- Offers multiple and abundant expansion capabilities for WiFi, PoE, and storage modules.
- Supports Aetina EdgeEye for enhanced remote device management.
- The optional InnoAgent Out-of-Band module facilitates effortless remote maintenance.
