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:
High-performance inference: Triton Inference Server uses NVIDIA TensorRT to optimize model execution on GPUs, resulting in faster and more accurate results.
Flexibility: Triton Inference Server supports a variety of frameworks like TensorFlow, PyTorch, ONNX, and more, and can run on both CPUs and GPUs.
Scalability: Triton Inference Server can easily scale horizontally to accommodate multiple GPU servers or clusters.
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.