How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.)

How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.)
A . Use data parallelism to partition the workload over multiple devices and balance the workload within the GPUs.
B . Use compute-optimized EC2 instances with an attached elastic GP
D . Use general purpose GPU computing instances such as G3 and P3.
E . Use processing parallelism to partition the workload over multiple storage devices and balance the workload within the GPUs.

View Answer

Answer: A,C

Explanation:

https://aws.amazon.com/blogs/machine-learning/parallelizing-across-multiple-cpu-gpus-to-speed-up-deep-learning-inference-at-the-edge/