MLCommons Releases New MLPerf Results that Highlight Growing Importance of Generative AI and Storage
This publication marks the first ever release of results from the MLPerf Storage benchmark, which measures the performance of storage systems in the context of ML training workloads.
- This publication marks the first ever release of results from the MLPerf Storage benchmark, which measures the performance of storage systems in the context of ML training workloads.
- In particular, MLCommons® would like to congratulate first time MLPerf Inference submitters Connect Tech, Nutanix, Oracle, and TTA.
- The MLPerf Storage Benchmark Suite is the first open-source AI/ML benchmark suite that measures the performance of storage for ML training workloads.
- To view the results for MLPerf Inference v3.1 and MLPerf Storage v0.5, and to find additional information about the benchmarks please visit: