#mxnet — Public Fediverse posts

Note to self: #NVIDIA have an open-source inference server for machine learning models. (They mostly sell SaaS on top of it)

Supports #TensorFlow, #PyTorch, #ONNX, #TensorRT, #mxnet.

Runs on #k8s. Features queue control, monitoring.

Triton Inference Server https://github.com/triton-inference-server

Alright ! I got #mxnet for #cplusplus to compile from scratch without any effort.

```
$ mkdir -p build && cd build

$ cmake -DUSE_CPP_PACKAGE=1 -DUSE_CUDA=OFF ..

$ make -j4

```
Wait almost 45 minutes and it is done.
Next step is to try out their tutorial examples.

@untitled01ipynb @metal3d I am starting out with #mxnet , wish me luck.

If someone here can give me an explanation for "why #mxnet is not more widely used while #Tensorflow and #Pytorch are slower?". I like TF and PT but mxnet is IMHO not used enough.