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HPE ProLiant DL320 Gen11 Server with NVIDIA L4 Tensor Core GPU

Accelerator-optimized compute for Vision AI

Learn more about Industry use case

HPE ProLiant DL320 Gen11 Server

Vision AI solution from HPE, NVIDIA, and IronYun

IronYun Vaidio® AI Vision Platform provides AI-enabled video search and analytics for security, health, safety, and operations. Powered by HPE ProLiant DL320 Gen11 Server and up to four NVIDIA L4 Tensor Core GPUs with a unique compact design, purpose-built for fast, efficient, and accurate AI video processing.

Computer vision is a broad field of artificial intelligence (AI) and computer science that focuses on interpreting visual data. Today, computer vision is used in a range of applications, from object recognition and autonomous vehicles to navigation and security. AI and machine learning (ML) technologies are crucial in powering computer vision technology. AI enables computer vision to understand, recognize, and analyze all types of visual data. AI models consume, absorb, and learn from the huge amount of labeled and unlabeled visual data.

How Vision AI is automating our spaces

Vision AI is a type of computer vision technology that leverages AI algorithms and deep learning models to analyze images and draw insights based on a set of criteria. Analyzing IoT sensors requires a lot of data input, and in order to manage both the camera’s input and the AI workflows there’s an important need for robust infrastructure to capture, store and processing the data in timely manner.

This technology has a tremendous benefits: improved operational efficiency, ability to react instantly to concerns, and provide public and worker safety.

Top use cases for Vision AI

  • Worker safety
  • Business operations efficiency
  • Warehouse logistics
  • Smart city
  • Transportation analytics
  • Retail operations
  • Campus security
  • Traffic analysis
  • Intelligent airports and many more

Accelerate your AI outcomes with HPE and NVIDIA

Ideal for computer vision and video analytics, the HPE ProLiant DL320 Gen11 Server has a unique compact design, purpose-built for edge computing. It can pack up to four NVIDIA L4 GPUs in a 1U form factor to power smart spaces and loss prevention solutions and deliver insights in near real time. Customers can leverage offerings from the NVIDIA Metropolis ecosystem to deploy solutions targeted for their industry and use case.

Speed time to value with HPE and NVIDIA, together we deliver innovative AI technologies, software, and systems to help you accelerate your AI outcomes.


1 Measured performance: 8x L4 vs. 2S Intel® 8362 CPU server comparison, end-to-end video pipeline with CV-CUDA decode, preprocessing, inference (SegFormer), postprocessing, encode, NVIDIA TensorRT 8.6 vs. CPU-only pipeline using OpenCV 4.7 and PyTorch inference.