Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE
Brand: Intel | Category: GPUs
SKU: HGT3OAMG8XPCIE | Part #: HGT3OAMG8XPCIE | MPN: HGT3OAMG8XPCIE
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About the Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE
The Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE is an enterprise-grade gpus from Intel. Intel Gaudi 3 AI Accelerator OAM Module — premium Intel gpu for enterprise IT, datacenter, and AI workloads. Available now from Omnixon Global with worldwide shipping and Dubai-based fulfillment for UAE, GCC, EMEA, and APAC buyers. Available in brand new condition. Intel gpus products are trusted by enterprises and data centers across the Middle East and globally. Available from Omnixon Global with worldwide delivery to the UAE, Saudi Arabia, Qatar, Kuwait, Oman, and Bahrain. Contact our sales team for competitive pricing and bulk order quotes.
Technical Specifications
| Brand | Intel |
| Category | GPUs |
| SKU | HGT3OAMG8XPCIE |
| Part Number | HGT3OAMG8XPCIE |
| Condition | New |
Frequently Asked Questions about Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE
What does the Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE do?
The Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
What are the headline specs of the Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE?
Key specifications for the Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE: new condition; raid support H100; gpu support NVIDIA H100; ai optimized Yes. Manufacturer part number HGT3OAMG8XPCIE. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE compatible with my infrastructure?
The Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.