Update TRAINING.md

docs/TRAINING.md

@@ -13,7 +13,7 @@ Namely, before starting any training, we
 4. Encode all extracted features into [MemoryMappedTensors](https://pytorch.org/tensordict/main/reference/generated/tensordict.MemoryMappedTensor.html) with [TensorDict](https://pytorch.org/tensordict/main/reference/tensordict.html)
 
 
-**NOTE:** for maximum training speed (e.g., when training the base model with 2*H100s), you would need around 3~5 GB/s of random read speed. Spinning disks would not be able to catch up and most SSDs would struggle. In my experience, the best bet is to have a large enough system memory such that the OS can cache the data. This way, the data is read from RAM instead of disk.
+**NOTE:** for maximum training speed (e.g., when training the base model with 2*H100s), you would need around 3~5 GB/s of random read speed. Spinning disks would not be able to catch up and most consumer-grade SSDs would struggle. In my experience, the best bet is to have a large enough system memory such that the OS can cache the data. This way, the data is read from RAM instead of disk.
 
 ## Preparing Audio-Video-Text Features