Intel Gaudi 3 AI Accelerator Baseboard — 8-slot OAM Baseboard (standalone)

Intel Gaudi 3 AI Accelerator Baseboard — 8-slot OAM Baseboard (standalone)

Brand: Intel | Category: GPUs

SKU: HLS-GAUDI3BB-8 | Part #: HLS-GAUDI3BB-8 | MPN: HLS-GAUDI3BB-8

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About the Intel Gaudi 3 AI Accelerator Baseboard — 8-slot OAM Baseboard (standalone)

PCIe Gen5 host interface and chassis-provided cooling determine server compatibility and power delivery requirements. The Intel Gaudi 3 AI Accelerator Baseboard (part number HLS-GAUDI3BB-8) is an 8-slot OAM (Open Accelerator Module) standalone baseboard designed to deliver exceptional performance for large-scale AI workloads. This Intel product line combines eight accelerator slots into a unified platform, with each OAM module featuring 128 GB of HBM2e memory for a total system capacity of 1024 GB HBM2e. Each module provides 3 x 200 GbE RDMA network ports, scaling to 24 x 200 GbE RDMA ports across the full baseboard. The Intel Gaudi 3 architecture supports FP8, BF16, FP32, and INT8 numerical formats, enabling flexible precision tuning for diverse inference and training scenarios. This baseboard aligns with Open Compute Project (OCP) OAM v1.0 standards and connects via PCIe Gen5 to compatible host infrastructure.

AI infrastructure teams and HPC procurement specialists select this platform for LLM training and inference, generative AI deployment, vision transformer workloads, and distributed deep learning at scale. The Intel SynapseAI software stack provides native support for PyTorch, TensorFlow, and DeepSpeed frameworks, allowing rapid model deployment without complex porting. Organizations managing multi-accelerator GPU clusters benefit from the high-bandwidth memory configuration and low-latency RDMA networking to minimize training convergence time and inference latency. The standalone form factor requires integration into a compatible OAM host chassis (sold separately) and relies on chassis-provided airflow for thermal management, giving data center teams maximum flexibility in system architecture.

Omnixon Global stocks Intel accelerator solutions for enterprise customers across the UAE and GCC region. To explore availability, configuration options, and volume pricing for the HLS-GAUDI3BB-8 baseboard and compatible host systems, submit a request for quotation through our enterprise sales team.

Technical Specifications

BrandIntel
CategoryGPUs
SKUHLS-GAUDI3BB-8
Part NumberHLS-GAUDI3BB-8
ConditionNew
Manufacturer Part NumberHLS-GAUDI3BB-8
Product LineIntel Gaudi 3 AI Accelerator
Form FactorOAM (Open Accelerator Module) Baseboard — standalone
OAM Slots8
Accelerator ArchitectureIntel Gaudi 3
HBM Capacity per OAM Module128 GB HBM2e
Total HBM Capacity (8 modules)1024 GB HBM2e
Network Ports per Module3 x 200 GbE RDMA
Total Network Ports (baseboard)24 x 200 GbE RDMA
Supported Numerical FormatsFP8, BF16, FP32, INT8
Host InterfacePCIe Gen5
Software StackIntel SynapseAI (PyTorch, TensorFlow, DeepSpeed support)
OCP ComplianceOpen Compute Project (OCP) OAM v1.0 aligned
Target WorkloadsLLM training and inference, generative AI, vision transformers, distributed deep learning
Chassis CompatibilityRequires compatible OAM host chassis (not included)
CoolingChassis-provided airflow (baseboard standalone, no integrated fans)

Frequently Asked Questions about Intel Gaudi 3 AI Accelerator Baseboard — 8-slot OAM Baseboard (standalone)

What server platforms accept the Intel Gaudi 3 AI Accelerator Baseboard — 8-slot OAM Baseboard (standalone)?

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.