Brand: Intel | Category: GPUs
SKU: HGT3OAMG8XPCIE | Part #: HGT3OAMG8XPCIE | MPN: HGT3OAMG8XPCIE
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The Intel Gaudi 3 AI Accelerator OAM Module HGT3OAMG8XPCIE delivers breakthrough performance across FP32, BF16, and FP8/INT8 precision points, purpose-built for the most demanding generative AI and machine learning workloads in hyperscale environments. Built on Intel's 5nm process node, this OCP Accelerator Module form factor integrates 64 Tensor Processor Cores paired with 96 GB of HBM2e memory across 8 stacks, enabling rapid model training and inference at scale. The PCIe Gen 5 host interface ensures seamless integration into modern server architectures, while eight integrated 200 Gigabit Ethernet ports deliver 3.2 Tb/s of aggregate bidirectional bandwidth, eliminating the need for external networking infrastructure. RoCEv2 protocol support facilitates direct server-to-server communication via the on-die 200GbE fabric, streamlining scale-out deployment and reducing operational complexity.
Enterprise AI infrastructure teams, datacenter architects, and hyperscale operators select the Intel Gaudi 3 to accelerate LLM training, generative AI inference, computer vision, and recommendation system pipelines. The module's OCP Universal Baseboard compatibility ensures rapid deployment across standard datacenter environments, while Intel's SynapseAI SDK and Habana software stack provide native support for PyTorch and TensorFlow, reducing time-to-production for AI teams. Organizations building large-scale AI platforms benefit from the module's efficient memory architecture, integrated networking fabric, and proven optimization for the most compute-intensive modern workloads.
Intel continues to expand its AI accelerator portfolio with solutions engineered for production enterprise deployments. Contact Omnixon Global to request a quote for the HGT3OAMG8XPCIE and explore volume licensing, system integration, and support options tailored to your AI infrastructure roadmap.
| Brand | Intel |
| Category | GPUs |
| SKU | HGT3OAMG8XPCIE |
| Part Number | HGT3OAMG8XPCIE |
| Condition | New |
| Manufacturer Part Number | HGT3OAMG8XPCIE |
| Product Family | Intel Gaudi 3 |
| Architecture | Gaudi 3 |
| Process Node | 5nm |
| Form Factor | OAM (OCP Accelerator Module) |
| Tensor Processor Cores (TPCs) | 64 |
| HBM Memory Capacity | 96 GB HBM2e |
| Memory Stacks | 8 |
| Host Interface | PCIe Gen 5 |
| On-Die Ethernet Ports | 8 × 200 Gigabit Ethernet (integrated on-die) |
| Total On-Die Ethernet Bandwidth | 3.2 Tb/s aggregate bidirectional |
| Network Protocol Support | RoCEv2 |
| Scale-Out Connectivity | Direct server-to-server via on-die 200GbE fabric, no external NIC required |
| Supported Frameworks | PyTorch, TensorFlow (via SynapseAI SDK and Habana software stack) |
| Software Stack | Intel SynapseAI SDK |
| Target Workloads | LLM training, generative AI inference, computer vision, recommendation systems |
| Compliance | OCP Universal Baseboard (UBB) compatible |
| Deployment Context | Datacenter / Hyperscale / Enterprise AI Infrastructure |
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.
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.
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.