# Next Steps

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepspeed-on-axion/)
- [Understand DeepSpeed and Google Axion C4A for AI training](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepspeed-on-axion/background/)
- [Create a Google Axion C4A virtual machine for DeepSpeed](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepspeed-on-axion/instance/)
- [Set up PyTorch and DeepSpeed on a Google Axion C4A virtual machine](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepspeed-on-axion/install-deepspeed-arm/)
- [Train and benchmark AI workloads on an Arm-based Google Axion virtual machine](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepspeed-on-axion/train-benchmark-deepspeed-arm/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/deepspeed-on-axion/_next-steps/)

## Continue Learning

### Read related resources
Find more information about the topics in this Learning Path:
- [DeepSpeed official documentation](https://www.deepspeed.ai/)
- [DeepSpeed GitHub repository](https://github.com/microsoft/DeepSpeed)
- [PyTorch documentation](https://pytorch.org/docs/stable/index.html)
- [Introducing Google Axion Processors](https://cloud.google.com/blog/products/compute/introducing-googles-new-arm-based-cpu)
- [Arm Neoverse V2 platform](https://www.arm.com/products/silicon-ip-cpu/neoverse/neoverse-v2)

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