“rmldnn is a command-line tool engineered to simplify the creation and accelerate the training of deep-learning models. What sets it apart is its remarkable ease of use, as it doesn’t demand familiarity with deep-learning frameworks such as PyTorch, TensorFlow, or Keras, nor does it require any Python coding skills. With rmldnn, you can construct deep-learning models effortlessly, whether you’re working on a compact single-GPU laptop or a robust supercomputer boasting hundreds of GPUs or CPUs, all without prior experience in distributed computing.
Key Advantages:
No Deep-Learning Framework Knowledge Required: rmldnn eliminates the need for expertise in deep-learning frameworks like PyTorch or Keras, making it accessible to a broader audience.
Built for Scalability and Performance: From its inception, rmldnn was engineered with scalability and performance as top priorities.
Architecture Agnostic: It seamlessly operates on various machine and processor architectures, ensuring a smooth experience on both CPU and GPU systems.
Effortless Scaling: Whether you’re working with a single GPU or harnessing the power of hundreds of GPUs or CPUs, rmldnn handles the intricacies of distributed computing for you. It automatically manages data partitioning and communication between nodes.
Versatile Computer Vision Use Cases: rmldnn caters to diverse computer vision applications, including image classification, object detection, image segmentation, autoencoders, and generative networks.”
