Intel Data Center GPU Max 1450

The Intel Data Center GPU Max 1450 is built on Intel's Xe HPC (Ponte Vecchio) microarchitecture, designed specifically for high-performance computing, artificial intelligence, and data-intensive enterprise workloads. It features a tiled, multi-chip module design that integrates Xe HPC compute tiles, Xe Link fabric tiles, EMIB (Embedded Multi-die Interconnect Bridge) packaging, and HBM2e high-bandwidth memory into a single coherent package. The GPU delivers substantial parallelism across its Xe-cores and vector engines, making it well-suited for both FP64 scientific simulation and lower-precision AI inference and training tasks.

The Max 1450 operates in an OAM (Open Accelerator Module) form factor, enabling dense, rack-scale deployments in modern data center infrastructure. It supports Intel's Xe Link interconnect technology for multi-GPU scaling, allowing multiple accelerators to share memory and communicate at high bandwidth with low latency across a node. The device is compatible with the Open Accelerator Infrastructure (OAI) ecosystem, giving enterprise buyers flexibility in system integration and platform selection.

Targeted at enterprises running mixed HPC and AI workloads, the Intel Data Center GPU Max 1450 supports a wide range of frameworks and programming models including oneAPI, SYCL, OpenCL, and interfaces compatible with common AI and HPC software stacks. Its high-bandwidth memory subsystem and hardware support for FP64, BF16, and INT8 precisions allow it to address everything from climate modeling and genomics to large-scale deep learning training. Omnixon Global makes this accelerator available to enterprise and institutional buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large-scale AI model training using BF16 and INT8 mixed-precision compute across distributed GPU clusters
• High-performance scientific simulation workloads such as computational fluid dynamics, molecular dynamics, and climate modeling requiring double-precision (FP64) throughput
• Data center inference acceleration for enterprise AI applications including natural language processing and computer vision pipelines
• HPC workloads in energy, life sciences, and financial risk modeling that require dense compute and high-bandwidth memory access
• Multi-GPU scale-out deployments leveraging Xe Link fabric for memory pooling and low-latency inter-accelerator communication in OAI-compliant chassis
• Government and research institution supercomputing nodes where oneAPI and open standards-based programming portability is required

Technical specifications

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