Intel Data Center GPU Max 1100

The Intel Data Center GPU Max 1100 is a high-performance discrete GPU built on Intel's Xe-HPC microarchitecture, designed specifically for demanding data center, high-performance computing (HPC), and AI inference and training workloads. Based on the Ponte Vecchio architecture, it delivers substantial compute throughput across FP64, FP32, BF16, and INT8 precision formats, enabling enterprises to accelerate a broad spectrum of scientific simulations, machine learning pipelines, and analytics at scale.

Equipped with 48 GB of HBM2e memory and a high-bandwidth memory subsystem, the GPU Max 1100 is engineered to handle memory-intensive workloads that require fast, low-latency data access. The single-tile design of the 1100 variant offers a balanced combination of power efficiency and performance density, operating within a 300 W thermal design power envelope suited for standard OCP and PCIe-based data center rack deployments. It connects to host systems via PCIe 5.0 x16, supporting modern server platforms.

The Intel Data Center GPU Max 1100 is fully supported by Intel's oneAPI software stack, providing an open, standards-based programming model that allows developers to write portable code across CPUs, GPUs, and FPGAs. Compatibility with industry-standard frameworks including TensorFlow, PyTorch, and OpenCL, combined with support for SYCL and OpenMP offload, makes this GPU a versatile accelerator for enterprise IT environments seeking vendor-flexible, heterogeneous computing infrastructure across UAE, GCC, EMEA, and APAC deployments.

Ideal for

• Large-scale AI model training and inference for enterprise deep learning pipelines requiring high memory bandwidth and mixed-precision compute
• High-performance computing simulations in fields such as computational fluid dynamics, molecular dynamics, and climate modeling
• Data analytics and in-memory database acceleration for large datasets demanding fast GPU-resident processing
• Seismic data processing and reservoir simulation for energy sector HPC workloads
• Scientific research computing in genomics, physics, and materials science requiring FP64 double-precision accuracy
• Scalable multi-GPU data center deployments for distributed training across HPC clusters using MPI and SYCL-based applications

Technical specifications

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