Intel Data Center GPU Max 1550 GPUMAX1550SSDLQCRX

The Intel Data Center GPU Max 1550 is Intel's flagship discrete GPU for high-performance computing, AI training, and inference at scale, built on the Intel Xe HPC microarchitecture (codenamed Ponte Vecchio). It integrates 128 Xe-HPC compute units across a multi-tile design fabricated using Intel's advanced packaging technology (EMIB and Foveros), delivering exceptional double-precision floating-point throughput and massive on-package high-bandwidth memory capacity purpose-built for demanding datacenter environments.

The GPU Max 1550 features 128 GB of HBM2e memory with an aggregate memory bandwidth exceeding 3.2 TB/s, making it exceptionally well-suited for memory-bound workloads such as large-scale deep learning model training, scientific simulation, and high-performance data analytics. The architecture natively supports BF16, FP16, FP32, FP64, and INT8 precision formats, enabling flexible deployment across both traditional HPC simulation codes and modern AI frameworks including PyTorch and TensorFlow via the oneAPI software stack.

Designed for integration into OAM (OCP Accelerator Module) form-factor platforms and validated for use in leading server configurations, the Intel Data Center GPU Max 1550 (part number GPUMAX1550SSDLQCRX) supports PCIe Gen 5 host connectivity and Xe Link fabric for multi-GPU scale-up. It is an enterprise-grade accelerator targeted at national labs, hyperscale datacenters, AI research institutions, and enterprise organizations running memory-intensive HPC and generative AI workloads across EMEA, GCC, UAE, and APAC regions.

Ideal for

• Large-scale deep learning training for foundation models and generative AI, leveraging high BF16/FP16 tensor throughput and 128 GB HBM2e memory capacity
• High-performance computing simulations in computational fluid dynamics, molecular dynamics, and climate modeling requiring sustained FP64 double-precision performance
• AI inference serving for large language models and multimodal models where on-package memory bandwidth eliminates memory bottlenecks at scale
• Seismic processing and reservoir simulation in the energy sector, where memory-intensive numerical methods benefit from HBM2e bandwidth
• Financial risk modeling and Monte Carlo simulations demanding high-throughput FP64 computation in low-latency datacenter environments
• Government, research, and national laboratory HPC clusters requiring a standards-based OAM accelerator with open software ecosystem support via Intel oneAPI

Technical specifications

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