Intel Data Center GPU Max 1100C

Intel Data Center GPU Max 1100C

Brand: Intel | Category: GPUs

SKU: GPUMX1100CXAAA | Part #: GPUMX1100CXAAA | MPN: GPUMX1100CXAAA

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About the Intel Data Center GPU Max 1100C

The Intel Data Center GPU Max 1100C is a high-performance discrete GPU built on Intel's Ponte Vecchio architecture, utilizing the Xe HPC microarchitecture designed specifically for demanding data center, HPC, and AI inference workloads. Fabricated using a multi-tile design with TSMC and Intel process nodes, the GPU Max 1100C delivers substantial compute throughput across FP64, FP32, BF16, and INT8 precisions, making it well-suited for scientific simulation, machine learning training, and large-scale data analytics pipelines.

The 1100C variant is the water-cooled form factor of the Intel GPU Max 1100 series, enabling higher sustained thermal performance in dense rack deployments where airflow is constrained. It connects to host systems via a PCIe Gen 5 x16 interface and exposes a unified, large-capacity HBM2e memory subsystem that provides high bandwidth for memory-bound workloads common in computational chemistry, climate modeling, and transformer-based AI models.

Programmability is delivered through Intel's oneAPI toolkit, which supports SYCL, OpenMP offload, and provides migration paths from CUDA-based codebases via the Intel DPC++ Compatibility Tool. The GPU Max 1100C integrates with Intel's software ecosystem across MPI-based HPC frameworks and popular AI frameworks including TensorFlow and PyTorch, enabling organizations to deploy it within existing enterprise and supercomputing software stacks with minimal rework.

Ideal for

  • Large-scale HPC scientific simulations including computational fluid dynamics, molecular dynamics, and climate modeling in national lab and enterprise research environments
  • AI and deep learning inference at data center scale, particularly for large language models and transformer architectures requiring high memory bandwidth
  • Deep learning training workloads leveraging BF16 and FP32 mixed-precision compute across distributed multi-GPU clusters
  • Data-intensive analytics and in-memory data processing pipelines where high HBM bandwidth reduces bottlenecks in enterprise data warehouse environments
  • Dense liquid-cooled data center deployments where the 1100C water-cooled design sustains peak performance in thermally constrained rack configurations
  • Migration of existing CUDA-based HPC and AI workloads to an open-standards oneAPI and SYCL software environment as part of multi-vendor GPU strategy

Technical specifications

ManufacturerIntel
Manufacturer Part NumberGPUMX1100CXAAA
Product FamilyIntel Data Center GPU Max Series
ArchitectureXe HPC (Ponte Vecchio)
Form FactorOAM (OCP Accelerator Module) — liquid-cooled (1100C variant)
Cooling SolutionWater / liquid cooling
Host InterfacePCIe Gen 5 x16
Xe-cores56
Vector Engines per Xe-core8
Matrix Engines per Xe-core8
Memory TypeHBM2e
Memory Capacity48 GB
Memory BandwidthUp to 1.229 TB/s
FP64 Vector PerformanceUp to 22.22 TFLOPS
FP32 Vector PerformanceUp to 22.22 TFLOPS
BF16 Matrix PerformanceUp to 444 TOPS
INT8 Matrix PerformanceUp to 888 TOPS
TDP (Thermal Design Power)Up to 600 W
Programming ModeloneAPI (SYCL, OpenMP offload, DPC++)
Supported AI FrameworksTensorFlow, PyTorch (via Intel Extension for PyTorch)
Target DeploymentData center HPC, AI training and inference, liquid-cooled dense rack

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

Technical Specifications

BrandIntel
CategoryGPUs
SKUGPUMX1100CXAAA
Part NumberGPUMX1100CXAAA
ConditionNew
Manufacturer Part NumberGPUMX1100CXAAA
Product FamilyIntel Data Center GPU Max Series
ArchitectureXe HPC (Ponte Vecchio)
Form FactorOAM (OCP Accelerator Module) — liquid-cooled (1100C variant)
Cooling SolutionWater / liquid cooling
Host InterfacePCIe Gen 5 x16
Xe-cores56
Vector Engines per Xe-core8
Matrix Engines per Xe-core8
Memory TypeHBM2e
Memory Capacity48 GB
Memory BandwidthUp to 1.229 TB/s
FP64 Vector PerformanceUp to 22.22 TFLOPS
FP32 Vector PerformanceUp to 22.22 TFLOPS
BF16 Matrix PerformanceUp to 444 TOPS
INT8 Matrix PerformanceUp to 888 TOPS
TDP (Thermal Design Power)Up to 600 W
Programming ModeloneAPI (SYCL, OpenMP offload, DPC++)
Supported AI FrameworksTensorFlow, PyTorch (via Intel Extension for PyTorch)
Target DeploymentData center HPC, AI training and inference, liquid-cooled dense rack

Frequently Asked Questions about Intel Data Center GPU Max 1100C

What server platforms accept the Intel Data Center GPU Max 1100C?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

How long is the lead time on AI GPUs?

Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.

Can you help with NVIDIA AI Enterprise licensing?

Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.