diff --git a/README.md b/README.md
index e2582ec7fced..cd27da2f1f8f 100644
--- a/README.md
+++ b/README.md
@@ -60,7 +60,7 @@ run on XLA devices(TPU, GPU, CPU and...)
 
 ## Running on a Single Cloud TPU VM
 
-Google Cloud offers TPU VMs for more transparent and easier access to the TPU hardware. This is our **recommedned way** of running PyTorch/XLA on Cloud TPU. Please check out our [Cloud TPU VM User Guide](https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm). To learn more about the Cloud TPU System Architecture, please check out [this doc](https://cloud.google.com/tpu/docs/system-architecture-tpu-vm#tpu_vms).
+Google Cloud offers TPU VMs for more transparent and easier access to the TPU hardware. This is our **recommended way** of running PyTorch/XLA on Cloud TPU. Please check out our [Cloud TPU VM User Guide](https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm). To learn more about the Cloud TPU System Architecture, please check out [this doc](https://cloud.google.com/tpu/docs/system-architecture-tpu-vm#tpu_vms).
 
 
 ---
@@ -189,4 +189,4 @@ You can find additional useful reading materials in
 * [Performance debugging on Cloud TPU VM](https://cloud.google.com/blog/topics/developers-practitioners/pytorchxla-performance-debugging-tpu-vm-part-1)
 * [Lazy tensor intro](https://pytorch.org/blog/understanding-lazytensor-system-performance-with-pytorch-xla-on-cloud-tpu/)
 * [Scaling deep learning workloads with PyTorch / XLA and Cloud TPU VM](https://cloud.google.com/blog/topics/developers-practitioners/scaling-deep-learning-workloads-pytorch-xla-and-cloud-tpu-vm)
-* [Scaling PyTorch models on Cloud TPUs with FSDP](https://pytorch.org/blog/scaling-pytorch-models-on-cloud-tpus-with-fsdp/)
\ No newline at end of file
+* [Scaling PyTorch models on Cloud TPUs with FSDP](https://pytorch.org/blog/scaling-pytorch-models-on-cloud-tpus-with-fsdp/)