DEEPX Edge AI Semiconductors
As a pioneer in on-device AI, DEEPX designs high-performance AI semiconductors that maximize efficiency, minimize power usage, and lower costs across a wide range of applications. Built for seamless integration, DEEPX’s advanced AI semiconductor chips bring powerful, efficient and low-cost AI capabilities to any device.
DEEPX delivers reliable on-device AI semiconductors through:
- Thermal Efficiency: Their AI chip maintains high performance while operating between -40° C - 85°C, ensuring reliability in industrial environments.
- AI Accuracy: It delivers GPU-level AI accuracy using energy-efficient Int-8 precision, crucial for reliable autonomous decision-making in on-device systems.
- Performance Efficiency: DEEPX’s solution achieves industry-leading AI inference speed per watt, outperforming competitors by more than 2x in real-world conditions.
- Total Cost of Ownership: With up to 94% savings in electricity costs over five years, DEEPX enables more intelligent and cost-effective AI deployments.
Physical AI Solutions
Explore how Macnica and DeepX enable Physical AI systems by combining sensing, on-device AI processing, and deterministic communication for real-world machines.
Target applications include:
- Industrial Automation
- Vision Systems
- AIoT
- Retail
- Robots
- Surveillance Systems
Smart Factory Solutions
Macnica and DeepX help robotics developers design edge AI architectures that enable robots and intelligent machines to operate reliably in Smart Factory environments.
AI Semiconductor Chips
| Product Name | Type | AI Performance | Power Consumption |
|---|---|---|---|
| DX-M1 | AI Accelerator | 25 TOPS | 3 ~ 5 W |
| DX-M1M (Q4 2025) | AI Accelerator | TBU | TBU |
| DX-V3 (Q4 2025) | AI Vision SoC | 13 TOPS | TBU |
| DX-M2 (Coming Soon) | GenAI Accelerator | TBU | TBU |
AI Modules
| Product Name | Form Factor | AI Performance | Power Consumption |
|---|---|---|---|
| DX-M1 M.2 LPDDR5x2 | M.2 M Key (22 x 80 mm) | 25 TOPS | 3 ~ 5 W |
| DX-M1M M.2 2242 (Q4 2025) | M.2 B+M Key (22 x 42 mm) | TBU | |
| DX-H1 PCIe Card Quattro | PCIe Card (167mm x 66.4mm) | 100 TOPS | 20 W |
| DX-H1 PCIe Card Dual V-NPU (Q4 2025) | Low Profile Slim PCIe Card (167mm x 66.4mm) | 50 TOPS | |
| DX-V3 IPCam DX-Cam (Coming Soon) | TBU | 13 TOPS |
Introducing DXNN: Your Gateway to AI Excellence
DXNN offers a comprehensive software ecosystem, meticulously designed for our DEEPX AI SoCs, featuring:
- IQ8™ (Intelligent Quantization Integer 8)
IQ8 is Intelligent Quantization technology, utilizing Integer 8-bit. In comparison to GPU-based solutions using 32 Floating Point, IQ8 maintains the same level of accuracy or even outperforms them.
- DX-COM (NPU Compiler)
At the core of model optimization, it includes a high-performance quantizer for maximum accuracy and efficiency. This powerful tool ensures your models are precisely tuned for optimal NPU inference.
- DX-RT (NPU Runtime System Software)
This robust suite provides an API-enabled runtime, dedicated NPU device drivers, and advanced NPU firmware, ensuring seamless operation.
Designed to integrate effortlessly with a wide range of DNN models from AI software giants like TensorFlow, Pytorch, and Caffe, DXNN is your conduit to the forefront of deep learning technology.
For more information: