HPE Intel Gaudi 3 OAM 96GB AI Accelerator
Brand: HPE | Category: GPUs
SKU: P66210-B21 | Part #: P66210-B21 | MPN: P66210-B21
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About the HPE Intel Gaudi 3 OAM 96GB AI Accelerator
The HPE Intel Gaudi 3 OAM 96GB AI Accelerator (P66210-B21) is an Open Accelerator Module engineered with liquid cooling support for high-density AI inference and training workloads in enterprise data centers. Built on Intel Gaudi 3 architecture, this accelerator delivers 1835 TFLOPS of peak BF16 compute and 3670 TFLOPS of peak FP8 compute, powered by 96 GB of HBM2e memory with 3.7 TB/s bandwidth. The OAM form factor integrates seamlessly into HPE AI and data center servers, enabling rapid scaling without redesigning host infrastructure.
Networking performance is a critical strength: the module features 24x 100GbE RoCE v2 ports for ultra-low-latency, RDMA-enabled cluster communications essential in distributed training environments. The accelerator supports FP8, BF16, FP16, and FP32 precisions, accommodating diverse model requirements across PyTorch and TensorFlow frameworks via Intel SynapseAI SDK. With a 900W thermal design power and liquid cooling requirement, deployment planning for AI infrastructure teams must account for cooling provisioning alongside electrical capacity. HPE's OAM specification ensures vendor-neutral interconnect compatibility, reducing lock-in risk for large-scale deployments.
Typical Deployment Scenarios
- Distributed large language model (LLM) training and fine-tuning across multi-node clusters leveraging RoCE v2 RDMA
- High-throughput inference serving with precision flexibility (FP8 for speed, FP32 for accuracy) on PyTorch and TensorFlow workloads
- Data-parallel and model-parallel training strategies benefiting from high memory bandwidth and 96 GB HBM2e capacity
- Energy-efficient AI workloads in liquid-cooled data center environments supporting OAM architecture
- AI infrastructure modernization for organizations standardizing on open accelerator module specifications
Contact Omnixon Global to discuss HPE Intel Gaudi 3 OAM 96GB AI Accelerator availability, configuration guidance, and enterprise licensing options.
Technical Specifications
| Brand | HPE |
| Category | GPUs |
| SKU | P66210-B21 |
| Part Number | P66210-B21 |
| Condition | New |
| Manufacturer Part Number | P66210-B21 |
| Product Name | HPE Intel Gaudi 3 OAM 96GB AI Accelerator |
| Accelerator Architecture | Intel Gaudi 3 |
| Form Factor | OAM (Open Accelerator Module) |
| HBM Capacity | 96 GB |
| Memory Type | HBM2e |
| Memory Bandwidth | 3.7 TB/s |
| Peak BF16 Compute | 1835 TFLOPS |
| Peak FP8 Compute | 3670 TFLOPS |
| Integrated Network Ports | 24x 100GbE RoCE v2 |
| Network Protocol | RoCE v2 (RDMA over Converged Ethernet) |
| Supported Precisions | FP8, BF16, FP16, FP32 |
| AI Framework Support | PyTorch, TensorFlow (via Intel SynapseAI SDK) |
| Interconnect Standard | Open Accelerator Module (OAM) specification |
| TDP | 900W |
| Cooling | Liquid cooling required (OAM module) |
| Target Platform | HPE AI and data center servers supporting OAM form factor |
Frequently Asked Questions about HPE Intel Gaudi 3 OAM 96GB AI Accelerator
What server platforms accept the HPE Intel Gaudi 3 OAM 96GB AI Accelerator?
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
How long is the lead time on AI GPUs?
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Can you help with NVIDIA AI Enterprise licensing?
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.