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Intel Gaudi Software

Software and developer tools and resources for ease of use, ease of migration, and ease of deployment


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Intel Gaudi AI Accelerators
Intel Gaudi AI Software
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Intel Gaudi Software Suite

Like our accelerator hardware, was purpose-designed to optimize deep learning performance, efficiency, and most importantly for developers, ease of use. With support for popular frameworks and models, the goal of Intel Gaudi software is to facilitate the ease and speed for developers, using the code and tools they use regularly and prefer. In essence, Intel Gaudi software and its many tools and support are designed to meet deep learning developers where you are— enabling you to develop what and how you want.

Intel Gaudi software goal: ease migration

of existing software to Intel Gaudi AI accelerators, preserving software investments, and making it easy to build new models—for both training and deployment of the numerous and growing models defining deep learning, generative AI and large language models.

Intel Gaudi Software Suite

Integrating frameworks, tools, drivers and libraries

We offer extensive support for data scientists, developers, and IT and Systems Administrators with:

Developer Site: featuring documentation, customer-available software, “how to” content, community Forum
GitHub: providing reference models, set-up and install instructions, snapshot scripts for analysis and debug, custom kernel examples, roadmap, and “issues” sub-site tracking to dos, bugs, feature requests and more

Intel Gaudi AI accelerator

Software ecosystem for deep learning

brings together leading software providers, tools and code to accelerate development of state-of-the-art deep learning models based on PyTorch, TensorFlow, PyTorch Lightning and DeepSpeed frameworks. Our collaboration with software partners such as Hugging Face enables Intel to rapidly expand its support for the latest popular models, easing your development process to enable the explosive array of deep learning applications emerging daily. Intel’s software team leverages open code, models and capabilities from trusted partners who share our focus on developing models for computer vision, natural language processing, generative AI and multi-modal applications.

Hugging Face: over 50,000 AI models and 90,000+ GitHub stars. Habana Optimum library on Hugging Face provides customers using Intel Gaudi AI accelerators to access to the entire Hugging Face model universe. Checkout a list of Hugging Face Habana optimized models here.

Lightning: acceleration of PyTorch deep learning workloads

Deep Speed: easy-to-use deep learning optimization software that enables scale and speed with particular focus on large scale models

Cnvrg.io: MLOps support for customers using Intel Gaudi processors

Solutions focused on Business and End-user Outcomes

Our model development is focused on industries and applications where AI is proven to provide the greatest near-term business revenue and deliver rich consumer experiences.

For more information on how Intel Gaudi AI accelerators are enabling high-value applications using computer vision, NLP, generative AI, large-language and multi-modal models.