devops engineer
Budget: ₹12,500 – ₹37,500 INR
1. Nodes Management
Configurable CPU, GPU, Memory, Storage in each node.
Show that Data is able to be transferred between nodes
2. GPU sharing
Enable GPU plugin for K8S. GPUs can be shared between the nodes in a cluster
3. Out-of-the-box Docker image that has Caffe/Mxnet/Tensorflow/PyTorch, which has CUDA, cuDNN, NCCL enabled.
4. Write a shell script to allow user to
a. create tasks that runs in the k8s cluster
b. view status of the tasks
5. Install TensorBoard/Visdom/VisualDL/MxBoard or necessary visualization tools
6. show logs of the running nodes
Configurable CPU, GPU, Memory, Storage in each node.
Show that Data is able to be transferred between nodes
2. GPU sharing
Enable GPU plugin for K8S. GPUs can be shared between the nodes in a cluster
3. Out-of-the-box Docker image that has Caffe/Mxnet/Tensorflow/PyTorch, which has CUDA, cuDNN, NCCL enabled.
4. Write a shell script to allow user to
a. create tasks that runs in the k8s cluster
b. view status of the tasks
5. Install TensorBoard/Visdom/VisualDL/MxBoard or necessary visualization tools
6. show logs of the running nodes