DX-H1 V-NPU
Redefining AI power: Massive,
sustainable intelligence at 40W
Overview
Integrated decoding, encoding, and transcoding turn the DX-H1 V-NPU into a complete foundation for real-time, large-scale monitoring. What once required rooms full of expensive, power-hungry servers can now be placed into the hands of any organization. The barrier to advanced AI falls away, and what remains is possibility, accessible, sustainable, and inevitable.
Features | Details |
|---|---|
AI Performance | 50 TOPS (=200 eTOPS / INT8) for real-time AI inference |
Power Consumption | 40W / 12V |
Interface | PCIe Gen3 x8 (in x16 slot) |
Video Decoding | H.264/265 64CH (1080P @ 30FPS) |
Video Encoding | H.264/265 32CH (1080P @ 30FPS) |
Memory | Genesis NPU: Total = LPDDR5 8GB |
Codec: Total = LPDDR5 16GB | |
Display | HDMI 2.0 x1 |
Storage | eMMC 32GB |
Dimensions | 167 x 56 x 19mm |
Form Factor | Low Profile PCIe Card |
Key Benefits
Revolutionary TCO82% lower hardware costs plus 85% electricity cost savings (1,000-channel system, 5-year basis). Transform expensive multi-server GPU setups into single, efficient edge cards accessible to any organization.
All-In-One ArchitectureDual hardware video codecs with dual NPUs handle complete video processing pipeline on a single card. This eliminates separate video decoders, minimizes CPU overhead on core systems, and ensures stable 24/7 operation without performance degradation.
Smart Monitoring SystemAdvanced edge processing analyzes video locally and transmits only critical events to VMS systems, drastically reducing bandwidth and storage costs. V-NPU's state-of-the-art AI models support enable natural language video search that transforms days of manual review into seconds of instant discovery.
Effortless ScalabilityCompact design without fan enables high-density deployments impossible with bulky GPUs. Deploy up to 4 cards per 2U server (256 channels) for maximum rack space efficiency and rapid scaling with existing infrastructure.
Related Products
Solutions to Simplify AI Adoption and Optimize Surveillance Infrastructure for TCO Reduction.
This is the optimal method for building a new AI-based CCTV surveillance system,
designed to simplify the overall infrastructure and significantly reduce the Total Cost of Ownership (TCO).
Product Models | Accelerator Configuration | AI Inference Performance (Based YOLOv5, FHD, 30FPS) | Recommended Specifications | Certified Partners Products |
|---|---|---|---|---|
 Vision AI. 1U AI Workstation |  Up to 1x DX-H1 V-NPU | Up to 64 CH. (Max. 1,600 FPS) |
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 Vision AI. 1U AI Server |  Up to 3x DX-H1 V-NPU | Up to 192 CH. (Max. 4,800 FPS) |
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 Vision AI. 2U AI Server |  Up to 6x DX-H1 V-NPU | Up to 384 CH. (Max. 9,600 FPS) |
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Note: Performance metrics are based on the AI Model YOLOv5s_512 at 25 FPS.
Actual channel support may vary depending on the specific AI Model and FPS settings.
Use Cases
Security
Comprehensive perimeter monitoring and threat detection with advanced behavioral analysis, providing 24/7 surveillance while maintaining data privacy through local processing
Smart Buildings
Intelligent building management with integrated security and occupancy monitoring through local video analytics, ensuring tenant privacy while reducing infrastructure requirements
Smart Factory
On-site quality control and defect detection with superior thermal efficiency, operating reliably in harsh industrial environments without cooling systems
Smart Cities
Live traffic management and crowd monitoring with reduced bandwidth costs, processing thousands of camera feeds locally
Smart Safety Monitoring
Real-time workplace safety compliance and hazard detection with instant alert systems, enabling immediate response to safety violations and emergency situations
Content Delivery Network (Smart Search)
Transform video content libraries into searchable databases with natural language queries, reducing search time from hours to seconds
Logistics & Warehouses
Real-time inventory tracking and automated sorting with high-density camera deployments, enabling efficient operations and safety monitoring while reducing server infrastructure costs
Smart Transportation
Autonomous navigation and collision avoidance without network dependency, ensuring reliable operation regardless of connectivity conditions
Smart Retail
Real-time customer analytics and inventory management through local video processing, protecting customer privacy while optimizing operations