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What is Intel Gaudi 3 AI Accelerator for AI Training and Inference?

Intel launches the Gaudi 3 AI accelerator, offering significant performance enhancements for AI training and inference tasks. With improved compute power, memory capacity, and networking capabilities, Gaudi 3 is set to revolutionize GenAI applications.

Intel revolutionizes the artificial intelligence(AI) landscape with the introduction of the Intel Gaudi 3 AI accelerator, heralding a new era of performance and efficiency for AI training and inference tasks. Read here for the official release 

This cutting-edge accelerator delivers a 4x increase in AI computing for BF16, along with a 1.5x boost in memory bandwidth and 2x networking bandwidth compared to its predecessor.

The significance of the Intel Gaudi 3 accelerator lies in its ability to empower enterprises across critical sectors like finance, manufacturing, and healthcare to expand AI accessibility and transition from experimental to full-scale implementation of generative AI (GenAI) projects. 

By offering open, cost-effective, and energy-efficient solutions, Intel addresses the evolving needs of businesses striving for ROI and operational efficiency.

Also Read: AI to Shape Humanity’s Future as Did Electricity, Says JPMorgan CEO

At the heart of the Intel Gaudi 3 accelerator are a dedicated AI compute engine, bolstered memory capacity, and enhanced networking capabilities. 

With 64 AI-custom and programmable Tensor Processor Cores (TPCs) and eight Matrix Multiplication Engines (MMEs), the Gaudi 3 accelerator delivers unparalleled computational efficiency for deep learning algorithms.

This design facilitates fast, efficient deep learning computation and scale, supporting various data types, including FP8 and BF16.

Moreover, the Gaudi 3 accelerator offers 128GB of HBMe2 memory capacity, 3.7TB of memory bandwidth, and 96MB of on-board SRAM, ensuring ample resources for processing large datasets. 

Additionally, integrated 200Gb Ethernet ports enable efficient scaling and eliminate vendor lock-in, while open community-based software ensures developer productivity and flexibility.

Also Read: What is NVIDIA Healthcare Generative AI Microservices for Drug Discovery and MedTech

Expected to outperform competitors like Nvidia H100, the Intel Gaudi 3 accelerator promises 50% faster time-to-train and inference throughput, and 40% greater inference power efficiency across leading GenAI models. 

With anticipated availability in the second and third quarters of 2024, Intel aims to drive market adoption through partnerships with notable OEMs like Dell Technologies, HPE, Lenovo, and Supermicro.

The Intel Gaudi 3 accelerator sets the stage for Falcon Shores, Intel’s next-generation GPU for AI and HPC, integrating Intel Gaudi and Intel® Xe IP with a single GPU programming interface. 

As businesses embrace AI for transformative outcomes, Intel remains at the forefront of innovation, empowering organizations to unlock the full potential of artificial intelligence.

Also Read: YouTube CEO Warns OpenAI Against Using Videos for Training AI Models

This post was last modified on April 9, 2024 11:07 pm

Ayush Patel

Ayush Patel is a distinguished author and political graduate, renowned for his insightful writings on new-age technology. With a profound understanding of artificial intelligence, machine learning, and the ever-evolving landscape of technological advancements, Ayush has carved a niche for himself in the world of tech journalism. His articles, known for their depth and clarity, aim to inform and report on the latest happenings in the field, making complex topics accessible to a wide audience.

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