AI Accelerators

Intel

Intel Gaudi 3 AI Accelerator

Model Gaudi 3

Accelerator with Ethernet networking built into every device, so clusters scale out over standard switches rather than a separate fabric.

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Close-up of a densely populated accelerator circuit board
Representative photo of the hardware type, not the listed product.

// Intel Gaudi 3 AI Accelerator specifications

Memory128GB HBM2e
Memory bandwidth3.7TB/s
Integrated networking24x 200GbE ports
Form factorOAM module or PCIe card

Specifications are indicative and confirmed on quote. Product and brand names belong to their respective owners and are used for identification only.

Before you order: AI Accelerators

The questions we ask before quoting. Answer them in the line notes and the first reply is usually the final one.

  • Module parts (SXM, OAM) only fit a matching baseboard and chassis. Tell us the host platform, or quote the server alongside them.
  • Passive PCIe cards rely on server airflow. Check the chassis is rated for the power of the card before ordering.
  • For multi-GPU work, say whether you need NVLink bridges or a switched fabric. It changes what gets quoted.
  • Memory size usually decides the model: size it against the largest model and batch you plan to run.

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The reference training accelerator for multi-GPU nodes, deployed eight to a baseboard with full NVLink bandwidth between every GPU.

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NVIDIA H100 NVL 94GB

A PCIe card version of Hopper with extra memory, built for LLM inference in standard air-cooled servers and bridged in pairs over NVLink.

Architecture
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GPU memory
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Memory bandwidth
3.9TB/s