Equus and Habana have teamed up to simplify the process of testing, implementing and deploying AI infrastructure based on Habana Gaudi2 processors. Customers can now leverage Equus Lab-as-a-Service to reach their innovation […]
Read more
Announcing a new End-to-End use case showing Training of a semantic segmentation model for Autonomous Driving
Read more
AWS and Habana collaborated to enable EFA Peer Direct support on the Gaudi-based AWS DL1 instances, offering users significant improvement in multi-instance model training performance.
Read more
AI is becoming increasingly important for retail use cases. It can provide retailers with advanced capabilities to personalize customer experiences, optimize operations, and increase sales. Habana has published a new Retail use […]
Read more
In this article, you will learn how to use Habana® Gaudi®2 to accelerate model training and inference, and train bigger models with 🤗 Optimum Habana.
Read more
In this post, we show you how to run Habana’s DeepSpeed enabled BERT1.5B model from our Model-References repository.
Read more
The Habana team is happy to announce the release of SynapseAI® version 1.6.0. In this release, we introduce preliminary inference capabilities on Gaudi. For further details, refer to the Inference on Gaudi guide. […]
Read more
SynapseAI 1.5 brings many improvements, both in usability and in Habana ecosystem support. For PyTorch we removed the need for weight permutation, as well as the need to explicitly call load_habana_module. See […]
Read more
The Habana team is excited to have launched our next-gen 7nm training and inference processors, Gaudi2 for training and Greco for inference, this morning on stage at Intel Vision 22. Sandra Rivera, […]
Read more