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DeepStream Triton

DeepStream Triton is a combination of NVIDIA’s DeepStream SDK and the Triton Inference Server from NVIDIA. It allows for efficient and scalable deployment of deep learning models for real-time video analytics and other applications.

DeepStream Triton provides:

  1. High-performance inference: Triton Inference Server uses NVIDIA TensorRT to optimize model execution on GPUs, resulting in faster and more accurate results.

  2. Flexibility: Triton Inference Server supports a variety of frameworks like TensorFlow, PyTorch, ONNX, and more, and can run on both CPUs and GPUs.

  3. Scalability: Triton Inference Server can easily scale horizontally to accommodate multiple GPU servers or clusters.

  4. Ease of deployment: DeepStream Triton comes with pre-built Docker containers that make it easy to deploy and manage your application.

Overall, DeepStream Triton simplifies the process of building and deploying deep learning models for real-time video analytics and other applications, and allows for efficient use of computational resources.

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