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AI Edge

Cities, factories, retail stores, hospitals, and other industries are increasingly investing in AI at the edge. This means they process data and use AI and ML algorithms at the edge to overcome bandwidth and latency limitations. AI at the edge helps them to do real-time analytics and produce faster decision-making, predictive care, personalised services, and improved business operations.

Optimised for AI Workloads

Harness the power of leading AI hardware, including NVIDIA® Jetson™, GPU accelerators, and Intel® OpenVINO™ support.

Rugged and Deployment Ready

Built to operate reliably in harsh environments, offering fanless, wide-temperature, and compact designs suitable for factory floors, outdoor installations, and mobile deployments.

Entreprise Class Waranty

Extend your warranty plan from 3 years to up to 5 years, ensuring extended protection for your DiGiCOR products.

Run and Manage Various Edge AI Workloads
with High Performance, Flexibility, and Security

DiGiCOR's AI Edge servers are designed for these edge deployments, with different compact shapes that fit the environment. Our systems have the performance needed for low latency, open architecture with pre-integrated components, diverse hardware and software stack compatibility, and privacy and security features that are required for complex edge deployments out of the box.

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IoT-BB-ADL-DLAP-8001
IoT-BB-ADL-DLAP-8001
Show specifications chevron-down
  • 93-41048-1350
A$5,736.99 RRP Ex GST
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Clearance IoT-BB-ADL-DLAP-4000
ADLINK
IoT-BB-ADL-DLAP-4000
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  • DLAP-4000
A$1,250.00 RRP Ex GST
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IoT-BB-ADL-DLAP-4001
IoT-BB-ADL-DLAP-4001
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  • 93-45201-0220
A$3,791.12 RRP Ex GST
View Details

Use Cases

Edge Video Transcoding

Edge Video Transcoding

Converting a video stream/file from one format to another, to optimise for different devices, networks, or applications. For example, a video captured by a drone camera may need to be transcoded to a lower resolution or bitrate to be streamed over a cellular network to a mobile device.

Edge Inference

Edge Inference

Make predictions or decisions based on the input data. A smart camera may use edge inference to detect faces, objects, or gestures in real time. This can improve the performance, privacy, and reliability of AI applications, as the data does not need to be sent to the cloud for processing.

Edge Training

Edge Training

Updating or improving an AI or ML model on an edge device using the local data to enhance the personalisation, accuracy, and adaptability of AI applications. The model can learn from the data that is most relevant to the user or the environment.

Key Technologies

  • CPU or GPU-based AI edge Inferencing, GPU-based AI edge training, and video transcoding/encoding/decoding
  • NVIDIA L4, L40S, L40, A30, A40, T4, A2 GPUs
  • Short-depth chassis design for edge locations with AC or DC power supply options
  • Front I/O with broad range of expansion and I/O port for flexibility and serviceability
  • Ruggedized systems designed to be placed outside of the data centre

Enterprise-class Warranty & Support

DiGiCOR Warranty Services provide comprehensive coverage and support for your DiGiCOR products. You can rest assured that your investments are protected, and any issues will be promptly addressed.

  • Upgrade Options: Extend your warranty plan from 3 years to up to 7 years, ensuring extended protection for your DiGiCOR products.
  • Service Availability: Our warranty services are available in Australia and New Zealand, with efforts to provide the best service possible even in non-metro areas.

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