Intel Data Center GPU Max 1250

The Intel Data Center GPU Max 1250 is a high-performance discrete GPU built on Intel's Ponte Vecchio architecture, engineered specifically for demanding HPC, AI training, and data-intensive enterprise workloads. Fabricated using Intel's advanced multi-tile design with TSMC and Intel process nodes, it integrates 128 Xe-HPC compute units across multiple stacked tiles, delivering exceptional parallel compute throughput for both FP64 scientific computing and FP16/BF16 AI inference and training tasks.

At the core of the Max 1250 is 128 GB of HBM2e memory with a memory bandwidth exceeding 3.2 TB/s, enabling workloads that demand large in-memory datasets to operate without the bottlenecks associated with conventional GDDR-based accelerators. The GPU supports PCIe 5.0 host connectivity and features Intel's Xe Link fabric for high-bandwidth, low-latency GPU-to-GPU interconnect in multi-card configurations, making it well-suited for scale-out cluster deployments.

The Intel Data Center GPU Max 1250 is positioned for enterprise data centers requiring a fully open, standards-based software ecosystem. It supports SYCL, OpenCL, and oneAPI programming models, as well as compatibility layers for existing CUDA-based workloads through Intel's oneAPI toolkit. With a 600 W TDP in its highest-performance operating mode, the card is available in an OAM (Open Accelerator Module) form factor for OAM-compatible server platforms, enabling dense rack-scale AI and HPC infrastructure deployments across industries.

Ideal for

• Large-scale AI model training and fine-tuning for natural language processing and computer vision in enterprise data centers
• High-performance computing simulations including computational fluid dynamics, molecular dynamics, and climate modeling requiring high FP64 throughput
• AI inference at scale for real-time recommendation engines, fraud detection, and enterprise analytics pipelines
• Genomics and life sciences workloads requiring large memory capacity and high bandwidth for sequence analysis and drug discovery
• Rendering and visualization workloads in engineering design, digital twins, and scientific visualization environments
• Federated and distributed deep learning across multi-node GPU clusters leveraging Xe Link high-speed interconnect

Technical specifications

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