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docs: updated GDS environment limitations;

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- works only on linux and nvidia
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Maifee Ul Asad 2025-10-11 21:51:24 +06:00
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README.md
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@ -365,10 +365,12 @@ Use `--tls-keyfile key.pem --tls-certfile cert.pem` to enable TLS/SSL, the app w
> Note: Windows users can use [alexisrolland/docker-openssl](https://github.com/alexisrolland/docker-openssl) or one of the [3rd party binary distributions](https://wiki.openssl.org/index.php/Binaries) to run the command example above.
<br/><br/>If you use a container, note that the volume mount `-v` can be a relative path so `... -v ".\:/openssl-certs" ...` would create the key & cert files in the current directory of your command prompt or powershell terminal.
## How to run heavy workflow on mid range GPU (NVIDIA)?
## How to run heavy workflow on mid range GPU (NVIDIA-Linux)?
Use the `--enable-gds` flag to activate NVIDIA [GPUDirect Storage](https://docs.nvidia.com/gpudirect-storage/) (GDS), which allows data to be transferred directly between SSDs and GPUs. This eliminates traditional CPU-mediated data paths, significantly reducing I/O latency and CPU overhead. System RAM will still be utilized for caching to further optimize performance, along with SSD.
This feature is tested on NVIDIA GPUs on Linux based system only.
Requires: `cupy-cuda12x>=12.0.0`, `pynvml>=11.4.1`, `cudf>=23.0.0`, `numba>=0.57.0`, `nvidia-ml-py>=12.0.0`.
## Support and dev channel