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Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC
Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC

Apache MXNet – What Is It and Why Does It Matter?
Apache MXNet – What Is It and Why Does It Matter?

Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance  Deep Learning on Frontera | Semantic Scholar
Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera | Semantic Scholar

Bringing AMDGPUs to TVM Stack and NNVM Compiler with ROCm
Bringing AMDGPUs to TVM Stack and NNVM Compiler with ROCm

Machine learning on macOs using Keras -> Tensorflow (1.15.0) -> nGraph ->  PlaidML -> AMD GPU - DEV Community
Machine learning on macOs using Keras -> Tensorflow (1.15.0) -> nGraph -> PlaidML -> AMD GPU - DEV Community

Apache MXNet (@ApacheMXNet) / Twitter
Apache MXNet (@ApacheMXNet) / Twitter

Deep Learning without CUDA – Sydney Informatics Hub
Deep Learning without CUDA – Sydney Informatics Hub

PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs  CPU performance – Syllepsis
PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs CPU performance – Syllepsis

Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance  Deep Learning on Frontera | Semantic Scholar
Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on Frontera | Semantic Scholar

Apache MXNet – What Is It and Why Does It Matter?
Apache MXNet – What Is It and Why Does It Matter?

Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC
Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC

Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC
Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC

NF5468M6 | 4U 4-16 GPU AI Server with Flexible Configurations - Inspur  Systems
NF5468M6 | 4U 4-16 GPU AI Server with Flexible Configurations - Inspur Systems

xNet Deep Learning Framework and GPU Acceleration | NVIDIA Data Center
xNet Deep Learning Framework and GPU Acceleration | NVIDIA Data Center

Deep learning for hackers with MXnet (1) GPU installation and MNIST |  Number 2147483647
Deep learning for hackers with MXnet (1) GPU installation and MNIST | Number 2147483647

Support for other Device Types, OpenCL AMD GPU · Issue #621 · apache/mxnet  · GitHub
Support for other Device Types, OpenCL AMD GPU · Issue #621 · apache/mxnet · GitHub

Competition Finally Comes To Datacenter GPU Compute
Competition Finally Comes To Datacenter GPU Compute

PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs  CPU performance – Syllepsis
PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs CPU performance – Syllepsis

History of the Modern Graphics Processor, Part 5 | TechSpot
History of the Modern Graphics Processor, Part 5 | TechSpot

Support for other Device Types, OpenCL AMD GPU · Issue #621 · apache/mxnet  · GitHub
Support for other Device Types, OpenCL AMD GPU · Issue #621 · apache/mxnet · GitHub

Merge AMD-HIP port · Issue #6257 · apache/mxnet · GitHub
Merge AMD-HIP port · Issue #6257 · apache/mxnet · GitHub

Automatic Kernel Optimization for Deep Learning on All Hardware Platforms
Automatic Kernel Optimization for Deep Learning on All Hardware Platforms

Support for other Device Types, OpenCL AMD GPU · Issue #621 · apache/mxnet  · GitHub
Support for other Device Types, OpenCL AMD GPU · Issue #621 · apache/mxnet · GitHub