Brand: Intel | Category: GPUs
SKU: I-HGMD3CPUAAADA | Part #: HGMD3CPUAAADA | MPN: HGMD3CPUAAADA
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The Intel Gaudi 3 AI Accelerator PCIe Card HGMD3CPUAAADA from Intel is enterprise-grade GPUs hardware built for data centers. It features PCIe form factor, PCIe interface. The Intel Gaudi 3 AI Accelerator PCIe Card (HGMD3CPUAAADA) is Intel's third-generation deep learning accelerator built on the Gaudi 3 architecture, manufactured on TSMC's 5nm process node. It features 64 Tensor Processor Cores (TPCs) and 8 Matrix Multiplication Engines (MMEs), delivering substantial throughput for both AI training and inference workloads. The card integrates 96 GB of HBM2e memory with a 3.7 TB/s memory bandwidth, enabling large-model operations and high-throu Available in brand new condition. Intel gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
| Brand | Intel |
| Category | GPUs |
| SKU | I-HGMD3CPUAAADA |
| Part Number | HGMD3CPUAAADA |
| Condition | New |
| Form Factor | PCIe |
| Interface | PCIe |
| Manufacturer Part Number | HGMD3CPUAAADA |
| Product Line | Intel Gaudi 3 |
| Architecture | Gaudi 3 |
| Process Node | TSMC 5nm |
| Tensor Processor Cores (TPCs) | 64 |
| Matrix Multiplication Engines (MMEs) | 8 |
| Memory Capacity | 96 GB HBM2e |
| Memory Bandwidth | 3.7 TB/s |
| Form Factor | PCIe Card (full-height, full-length) |
| Host Interface | PCIe Gen 5.0 x16 |
| On-Die Networking | 24x 200 GbE RDMA (integrated) |
| Aggregate Networking Bandwidth | 3.7 Tb/s (RDMA scale-out) |
| Supported Frameworks | PyTorch, TensorFlow (via SynapseAI SDK) |
| Software Stack | Intel SynapseAI SDK; Hugging Face integration; open-source model references |
| Operating System Support | Linux (Ubuntu, Red Hat Enterprise Linux) |
| Thermal Solution | Active cooling (requires adequate server airflow) |
| Target Deployment | Enterprise data center servers with PCIe Gen 5 slots |
The Intel Gaudi 3 AI Accelerator PCIe Card 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.
Key specifications for the Intel Gaudi 3 AI Accelerator PCIe Card: form factor PCIe; interface PCIe; 3 years support; new condition; support 3 years standard (manufacturer); ai optimized Yes. Manufacturer part number HGMD3CPUAAADA. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The Intel Gaudi 3 AI Accelerator PCIe Card 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.