Intel Gaudi 2 HL-225H Mezzanine AI Accelerator 96GB HBM2e

Intel Gaudi 2 HL-225H Mezzanine AI Accelerator 96GB HBM2e

Brand: Intel | Category: GPUs

SKU: HL-225H | Part #: HL-225H | MPN: HL-225H

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About the Intel Gaudi 2 HL-225H Mezzanine AI Accelerator 96GB HBM2e

The Intel Gaudi 2 HL-225H Mezzanine AI Accelerator delivers supported precision across FP32, BF16, FP16, INT16, and INT8—the three critical AI precision points that define modern model training and inference performance. Built on TSMC 7nm process technology, this mezzanine-form-factor accelerator integrates 24 Tensor Processor Cores and 2 Matrix Multiplication Engines to drive dense compute workloads in OCP-compatible enterprise datacenter servers. The HL-225H pairs 96 GB of HBM2e memory across 6 stacks with industry-leading 2.45 TB/s memory bandwidth, enabling rapid data movement essential for large-scale AI operations.

Networking capability is built into the silicon: 24 integrated 100GbE ports with RoCE v2 deliver 2.4 Tb/s aggregate on-chip network bandwidth (bi-directional), eliminating external interconnect bottlenecks in multi-accelerator topologies. The accelerator connects to host servers via PCIe Gen 4 x16 and operates within a 600 W thermal design power envelope. Intel's SynapseAI software stack provides native support for PyTorch and TensorFlow frameworks, ensuring rapid framework adoption for AI infrastructure teams building next-generation training and inference clusters. The HL-225H (part number HL-225H) runs on Linux operating systems including Ubuntu and CentOS/RHEL.

Enterprise AI Deployment Scenarios

  • Large-scale language model training and fine-tuning across distributed compute clusters
  • High-throughput inference serving for generative AI applications requiring low-latency responses
  • Multi-accelerator AI workloads leveraging integrated RoCE v2 networking for reduced rack complexity
  • Deep learning recommendation systems and neural collaborative filtering at datacenter scale
  • Mixed-precision compute offload for PyTorch and TensorFlow applications requiring FP16 and INT8 optimization

For IT procurement teams and AI infrastructure architects evaluating accelerator platforms, Intel's Gaudi 2 HL-225H combines on-package memory bandwidth, integrated networking, and multi-framework support in a mezzanine form factor optimized for OCP-standard server deployments. Contact Omnixon Global to request a detailed quotation and technical evaluation for your datacenter requirements.

Technical Specifications

BrandIntel
CategoryGPUs
SKUHL-225H
Part NumberHL-225H
ConditionNew
Manufacturer Part NumberHL-225H
Product FamilyIntel Gaudi 2
Form FactorMezzanine (OCP Accelerator Module)
Process TechnologyTSMC 7nm
Tensor Processor Cores (TPCs)24
Matrix Multiplication Engines (MMEs)2
Memory TypeHBM2e
Memory Capacity96 GB
Memory Bandwidth2.45 TB/s
HBM2e Stacks6
On-Chip Network Ports24 x 100GbE (integrated RoCE v2)
Aggregate On-Chip Network Bandwidth2.4 Tb/s (bi-directional)
Host InterfacePCIe Gen 4 x16
Thermal Design Power (TDP)600 W
Supported FrameworksPyTorch, TensorFlow (via Intel SynapseAI SDK)
Software StackIntel SynapseAI
Supported PrecisionFP32, BF16, FP16, INT16, INT8
Operating System SupportLinux (Ubuntu, CentOS/RHEL)
Target DeploymentOCP-compatible enterprise datacenter servers

Frequently Asked Questions about Intel Gaudi 2 HL-225H Mezzanine AI Accelerator 96GB HBM2e

What server platforms accept the Intel Gaudi 2 HL-225H Mezzanine AI Accelerator 96GB HBM2e?

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.