The problem of high-performance inference is one of the most valuable in the commercial artificial intelligence systems. Nvidia DeepStream is a leading converged platform for high-speed inference on streaming data (video, audio, IoT), unifying the computation on both Nvidia Jetson edge devices and data center Volta, Turing, Ampere accelerators.
Migration to DeepStream helps to achieve hundreds of FPS on a single GPU, offloading the tasks of encoding, decoding video to an accelerator, reducing the cost of copying data between CPU memory and GPU, using the industrial, standard ecosystem from Nvidia.
We can help to convert an ML pipeline powered by PyTorch, TensorFlow, or another framework to DeepStream, allowing you to harness the full power of Nvidia accelerators and TensorRT-optimized neural networks.
Our broad experience in the field of detection, tracking, identification of people, and other objects significantly reduces the time it takes for your product to enter the market in a commercially viable form.