Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12, GraphCore, SYCL for CPU/GPU, OpenCL for AMD/NVIDIA, Android CPU/GPU backends.
Обновлено 2024-11-20 16:03:41 +03:00
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Обновлено 2024-11-19 03:35:36 +03:00
Hands on labs and content for students and educators to learn and teach the Internet of Things at schools, universities, coding clubs, community colleges and bootcamps
machine-learning
microsoft
azure
python
ai
iot
nvidia-jetson
raspberrypi
azure-iot
curriculum
hands-on-lab
iot-edge
labs
Обновлено 2023-07-15 15:36:02 +03:00
Demostrates using the NVidia GPU Cloud Marketplace images in CycleCloud clusters.
Обновлено 2023-05-31 21:47:40 +03:00
The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam
Обновлено 2023-03-28 19:44:29 +03:00
Distributed Deep Learning using AzureML
Обновлено 2019-11-19 05:28:26 +03:00
Tutorials on running distributed deep learning on Batch AI
azure
deep-learning
convolutional-neural-networks
nvidia
batch-ai
distributed-training
nvidia-docker
Обновлено 2018-12-18 14:53:25 +03:00