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Habana Model Performance Data

See the latest performance data for Gaudi2 training, Gaudi training and Gaudi inference. For information on models and containers that are currently integrated with Habana’s Synapse AI software suite visit the Habana catalog. For more information on future model support, please refer to our SynapseAI roadmap page.

Gaudi2 MLPerf™ 2.1 Training Performance

These performance numbers have been generated with the latest version of SynapseAI and are improvements over the officially submitted numbers posted on MLCommons website.

Gaudi2 Reference Models Training Performance

Gaudi2 Reference Models Inference Performance

Gaudi Reference Models Training Performance

Gaudi Reference Models Inference Performance

* Performance measurements taken on Amazon EC2 DL1 Instance
** These models are available on Hugging Face Habana hub.  Performance measurements based on optimum-habana version 1.3

System Configuration:

Gaudi® Platform
System: HLS-1 with eight Habana Gaudi HL-205 Mezzanine cards and two Intel® Xeon® Platinum 8280 CPU @ 2.70GHz, and 756GB of System Memory

Gaudi®2 Platform
System: HLS-Gaudi2 with eight Habana Gaudi2 HL-225H Mezzanine cards and two Intel® Xeon® Platinum 8380 CPU @ 2.30GHz, and 1TB of System Memory

Amazon EC2 DL1 Instance
System: Custom Server with eight Habana Gaudi HL-205 Mezzanine cards and two Intel® Xeon® Platinum 8275CL CPU @ 3.00GHz, and 756GB of System Memory

Common Software
Ubuntu20.04, SynapseAI Software version 1.8.0-690
TensorFlow: Models run with TensorFlow v2.11.0 use this Docker image; ones with v2.8.4 use this Docker image
PyTorch: Models run with PyTorch v1.13.1 use this Docker image
Environment: These workloads are run using the Docker images running directly on the Host OS

Performance varies by use, configuration and other factors.  Please refer to the Model-References GitHub page for each model’s support and validation coverage.  All information provided here is subject to change without notice. Habana Labs may make changes to its test conditions and internal reliability goals at any time.  Contact your Habana Labs representative to obtain the latest Habana Labs product specifications and roadmaps. Your costs and results may vary.

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