Intel Gaudi 2 HL-225H Mezzanine GPU for ThinkSystem SXM Configuration

The Intel Gaudi 2 HL-225H Mezzanine GPU for ThinkSystem SXM Configuration (Lenovo part 4X67A84530) is a high-performance AI accelerator built on Intel's second-generation Gaudi 2 architecture, designed specifically for deep learning training and inference at scale. The HL-225H integrates 96 GB of HBM2e memory across a 3.7 TB/s memory bandwidth envelope, delivering the substantial throughput required for large language model training, computer vision pipelines, and generative AI workloads. Its mezzanine form factor is engineered for direct integration into Lenovo ThinkSystem SXM-based server platforms, enabling dense, high-efficiency AI compute deployments within enterprise datacenter environments.

The Gaudi 2 processor features 24 fully programmable Tensor Processor Cores (TPCs) and a Matrix Multiplication Engine (MME) optimized for mixed-precision training using BF16 and FP32 formats. The accelerator includes 24 integrated 100 GbE RDMA-capable network ports built directly onto the die, eliminating the need for external networking components and enabling scale-out cluster connectivity with low latency and high bandwidth for distributed training jobs. This on-chip fabric architecture supports RoCEv2 and is compatible with Gaudi 2 scale-out topologies using standard Ethernet infrastructure.

As a Lenovo-validated component for ThinkSystem SXM configurations, the HL-225H is subject to rigorous platform-level qualification, ensuring thermal, electrical, and firmware compatibility within supported ThinkSystem server chassis. Enterprises deploying AI infrastructure in UAE, GCC, EMEA, and APAC regions benefit from Lenovo's global supply chain reach and ThinkSystem platform consistency. The accelerator is well-suited for organizations seeking an alternative high-performance AI compute path alongside or in place of traditional GPU ecosystems, with full software support through the Intel Gaudi software stack including Habana SynapseAI and integration with popular ML frameworks such as PyTorch and TensorFlow.

Ideal for

• Large language model (LLM) pre-training and fine-tuning across distributed multi-node ThinkSystem SXM server clusters
• Generative AI inference serving for enterprise NLP, image synthesis, and multimodal applications at datacenter scale
• Computer vision model training for manufacturing quality inspection, medical imaging analysis, and autonomous systems development
• High-throughput recommendation system training leveraging the HL-225H's high memory bandwidth and tensor compute capabilities
• Scientific and research AI workloads including genomics, drug discovery simulation, and climate modeling requiring sustained FP32 and BF16 compute
• Enterprise AI platform consolidation, deploying standardized ThinkSystem SXM nodes with Gaudi 2 accelerators for scalable, fabric-connected training infrastructure

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.