p2.8xlarge

I don't think the AWS instance is the problem, since the model dies on the first forward pass.

AWS has launched a new family of Elastic Compute Cloud (EC2) instance types called P2. Backed by the Tesla K80 GPU line from Nvidia, the new P2 instances were designed to chew through tough, large-scale machine learning, deep learning, computational fluid dynamics (CFD) seismic analysis, molecular modeling, genomics and computational finance workloads

I want to do modelling of data using Deep-Learning so I tried to load data in an EC2 instance(p2.8xlarge) from data stored in s3 i.e in parquet format the size of parquet folder in s3 is 9 GB, i am using pyarrow for loading the parquet data from s3 but it is taking around 3 hour to load that data and i would like to reduce it in between 10-15 min to an hour.

If you need GPUs on your instances, p3 instances are a good choice. They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” — so it’s fairly specialized.

They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” — so it’s fairly specialized.

If you need GPUs on your instances, p3 instances are a good choice. They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” — so it’s fairly specialized.

If you need GPUs on your instances, p3 instances are a good choice. They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” — so it’s fairly specialized.

If you need GPUs on your instances, p3 instances are a good choice. They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” — so it’s fairly specialized.

If you need GPUs on your instances, p3 instances are a good choice. They are useful for video editing, and AWS also lists use cases of “computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles” — so it’s fairly specialized.

I want to do modelling of data using Deep-Learning so I tried to load data in an EC2 instance(p2.8xlarge) from data stored in s3 i.e in parquet format the size of parquet folder in s3 is 9 GB, i am using pyarrow for loading the parquet data from s3 but it is taking around 3 hour to load that data and i would like to reduce it in between 10-15 min to an hour.