The Intel GAUDI 2 Accelerator
Unprecedented performance, scalability, and security for every data center.
High performance. High-efficiency. Inclusive
This new processor addresses an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both training workloads and inference deployments in the data center while lowering the AI barrier to entry for companies of all sizes.
Gaby Hayon, executive vice president of R&D at Mobileye
As a world leader in automotive and driving assistance systems, training cutting-edge deep learning models for tasks such as object detection and segmentation that enable vehicles to sense and understand their surroundings is mission-critical to Mobileye business and vision.
Chetan Paul, vice president for Technology Innovation, Government Health and Safety Solutions at Leidos
"The rapid-pace R&D required to tame COVID demonstrates an urgent need our medical and health sciences customers have for fast, efficient deep learning training of medical imaging datasets. We expect Gaudi2, building on the speed and cost-efficiency of first-gen Gaudi, to provide customers with dramatically accelerated model training."
Charles Liang, president and CEO of Supermicro
“We are excited to bring our next-generation AI deep learning server to market, featuring the high-performance Gaudi2 accelerators enabling our customers to achieve faster time-to-train, efficient scaling with industry-standard Ethernet connectivity and improved TCO.”
Deep Learning Training Efficiency
Gaudi2 offers significant improvements in training performance, with a process leap from 16nm to 7nm, boosting compute, memory, and networking capabilities.
It provides a substantial increase in in-package memory capacity (96GB of HBM2E) and integrates 24 x 100GbE RoCE RDMA NICs, enabling scalability.
Customer Benefits
Gaudi2 provides higher-performance deep learning training compared to GPU-based acceleration, resulting in cost savings and faster training times.
It accelerates vision modeling in various applications, including autonomous vehicles, medical imaging, defect detection in manufacturing, and natural language processing.
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ready to shipNetworking Capacity and Flexibility
Gaudi2 simplifies scaling and configuration with integrated industry-standard RoCE. It allows easy integration with a wide array of Ethernet switching and networking equipment, reducing costs and avoiding vendor lock-in.
Simplified Model Build and Migration
The SynapseAI software suite optimizes deep learning model development and migration from GPU-based models to Gaudi hardware. It supports training on Gaudi2 and inference on various targets. Developers receive extensive documentation, tools, and community support for seamless migration.
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Our team is primed and eager to provide assistance, be it for individual components or the ambitious endeavor of constructing a groundbreaking supercomputer on a global scale.
