Shriya Rishab

Results 24 comments of Shriya Rishab

Closing as the reference was not tested on H100s Note that there were multiple H100 DLRMv2 submissions in the MLPerf Training v4.0 round as shown in the [results table](https://mlcommons.org/benchmarks/training/). Training...

All required data can be downloaded using instructions in the [S3 artifacts download section](https://github.com/mlcommons/training/blob/master/large_language_model/megatron-lm/README.md#s3-artifacts-download) of the README.

https://github.com/mlcommons/policies/pull/181 - PR to address benchmark lifecycle and early retirement process.