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Start an instances

export IMAGE_FAMILY="pytorch-latest-gpu" # or "pytorch-latest-cpu" for non-GPU instances export ZONE="us-west2-b" # budget: "us-west1-b" export INSTANCE_NAME="my-fastai-instance" export INSTANCE_TYPE="n1-highmem-8" # budget: "n1-highmem-4"

budget: 'type=nvidia-tesla-k80,count=1'

gcloud compute instances create $INSTANCE_NAME
--zone=$ZONE
--image-family=$IMAGE_FAMILY
--image-project=deeplearning-platform-release
--maintenance-policy=TERMINATE
--accelerator="type=nvidia-tesla-p4,count=1"
--machine-type=$INSTANCE_TYPE
--boot-disk-size=200GB
--metadata="install-nvidia-driver=True"
--preemptible

gcloud compute ssh --zone=$ZONE jupyter@$INSTANCE_NAME -- -L 8080:localhost:8080

Ideas

  • detect brand of car.
  • speed based on pairs of images.
  • Classify which recycling bin an item goes.
  • building footprints on satellite images.