Intel Gaudi 3 Developer Kit PCIe Single-Card System

The Intel Gaudi 3 Developer Kit PCIe Single-Card System (HLDK-325B) is a purpose-built accelerator platform designed to enable large-scale AI training and high-throughput inference workloads in enterprise datacenter environments. Built on Intel's third-generation Gaudi architecture, the Gaudi 3 accelerator delivers substantial advances in matrix multiplication throughput, memory bandwidth, and on-chip SRAM capacity compared to its predecessor, making it well-suited for training and serving large language models, multimodal foundation models, and deep learning pipelines at scale.

The Gaudi 3 silicon integrates dedicated matrix multiplication engines alongside a high-bandwidth memory subsystem utilizing HBM2e, providing the memory capacity and bandwidth necessary for holding large model parameter sets and activations in-flight during training iterations. The PCIe form factor of the HLDK-325B allows straightforward integration into standard server platforms without requiring proprietary baseboard infrastructure, lowering the barrier to entry for organizations evaluating or deploying Gaudi-based AI acceleration. The developer kit format provides a complete, validated single-card system ready for software stack bring-up using Intel's Gaudi software suite, including support for PyTorch and the SynapseAI SDK.

Targeted at enterprise AI teams, research institutions, and datacenter operators across UAE, GCC, EMEA, and APAC regions, the HLDK-325B enables organizations to evaluate Intel Gaudi 3 performance characteristics, develop and optimize model training workflows, and validate inference serving pipelines before committing to larger cluster deployments. The platform supports open deep learning frameworks and is positioned as an alternative to incumbent GPU ecosystems, with Intel providing software tools, profiling utilities, and model optimization references through its developer ecosystem.

Ideal for

• Large language model (LLM) fine-tuning and training on enterprise proprietary datasets using frameworks such as PyTorch via SynapseAI integration
• Generative AI inference serving for internal enterprise applications including retrieval-augmented generation (RAG) pipelines and conversational AI systems
• Proof-of-concept and benchmarking evaluation of Gaudi 3 performance prior to scaling to multi-node Gaudi 3 cluster deployments in production datacenters
• Computer vision model training for industrial inspection, surveillance analytics, and medical imaging applications requiring high memory bandwidth
• AI platform engineering and MLOps pipeline development, including profiling, model optimization, and framework porting work targeting Gaudi architecture
• Research and development workloads at universities, national labs, and enterprise AI centers evaluating next-generation accelerator architectures for HPC and deep learning convergence

Technical specifications

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