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Video Management Systems (VMS) play a critical role in today’s surveillance and security infrastructure by enabling the capture, storage, display, and analysis of video from multiple sources. However, with the exponential growth of video data, traditional VMS solutions often struggle to deliver real-time processing and actionable insights. To address this challenge, Lanner has partnered with MemryX to deliver an AI-accelerated platform that combines Lanner’s robust Edge AI appliances with the MemryX MX3 AI accelerator—purpose-built for VMS and other edge AI workloads. This joint solution delivers powerful real-time performance with low power consumption, making it an ideal choice for AI-driven video analytics at the edge. |
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MemryX MX3 M.2 moduleEngineered as a companion module, the MX3 M.2 Module alleviates the processing load of deep neural network (DNN) computer vision (CV) models from the host CPU. Excelling in real-time and low latency interferencing, the module’s distinctive architecture significantly decreases system power. The MX3 M.2 Module is compatible with the M.2 form factor. With no hardware changes, the module can be plugged into existing systems with an M.2 socket. Each M.2 module contains four MemryX MX3 Edge AI Accelerators executing inferencing in real-time.  |
MemryX Developer HubMemryX software enables developers to efficiently use MemryX AI accelerator chips to create systems and applications. It’s built to be simple, effective, and flex¬ible, avoiding complex coding setups or the need to alter already-trained AI mod¬els. You can quickly simulate and deploy AI models, choosing the best balance of performance, power, latency, and utilization for any application
The SDK simplifies AI deployment on MemryX AI hardware with tools like the neural compiler, APIs, drivers, benchmarking, and a simulator. These tools can be used independently or integrated into various software setups, making AI application deployment efficient.
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Featured Product
EAI-I500 |
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