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Unlock Unmatched AI Performance with Intel Gaudi 3 on AWS

Experience energy-efficient and scalable transformer inference solutions tailored for large-scale AI applications.

shipped Nov 20, 2025deploypaid
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Why it matters

1Achieve up to 50% faster training and higher inference throughput with cutting-edge technology.
2Deploy up to 64 accelerators for maximum scalability and efficiency in AI workloads.
3Benefit from an open architecture that supports wide compatibility with leading frameworks.

Specs

API Available

Yes, public API

overview

Revolutionary AI Infrastructure

Intel Gaudi 3 on AWS combines energy-efficient accelerators with built-in networking to deliver powerful performance for large language models. This transformative platform is designed to cater to both moderate and hyperscale deployment needs, enabling enterprises to maximize their AI potential.

  • Energy-efficient design for cost savings.
  • Optimized for high-throughput AI inferencing.
  • Supports large-scale transformer model training.

features

Key Features of Intel Gaudi 3

Experience best-in-class performance enhancements with the Intel Gaudi 3, featuring open and modular architecture that prevents vendor lock-in. This flexibility allows organizations to seamlessly adapt to evolving industry standards.

  • Up to 8 accelerators per node with 128GB HBM.
  • 24 × 200 Gbps RDMA networking for efficient scaling.
  • Broad ecosystem support, compatible with Hugging Face, PyTorch, and more.

use cases

Ideal for Enterprises and AI Startups

Whether you're a large enterprise, an AI startup, or a cloud-native team, Intel Gaudi 3 on AWS provides the scalable and cost-efficient infrastructure you need. It's designed for organizations looking to optimize their AI deployments across various workloads.

  • Perfect for training large language models like Llama 3.1 and Llama 4.
  • Facilitates multi-modal workloads efficiently.
  • Meets the demands of cost-sensitive AI applications.

Policies

Free Tier

Vendor website advertises a free tier.

Pricing Page

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