Brand: Intel | Category: GPUs
SKU: XPGEDCGPU1100P | Part #: XPGEDCGPU1100P | MPN: XPGEDCGPU1100P
Contact for Pricing — Request a Quote
The Intel Data Center GPU Max 1100 PCIe 48GB HBM2e (part number XPGEDCGPU1100P) is a PCIe Add-In Card GPU engineered for high-performance data center workloads. Built on Intel's Ponte Vecchio (Xe-HPC) architecture, this accelerator combines 56 Xe-HPC compute tiles with 48 GB of HBM2e memory and a 3072-bit memory bus, delivering 1.229 TB/s of memory bandwidth. The card operates at a thermal design power of 300 W and connects via PCIe 5.0 x16, enabling seamless integration into existing enterprise server infrastructure. Peak performance reaches 22.22 TFLOPS for both FP64 and FP32 precision, while accelerated workloads benefit from 444 TFLOPS in both FP16 and BF16 formats, with additional support for INT8 operations.
Intel's Data Center GPU Max 1100 targets AI infrastructure teams, HPC researchers, and machine learning engineers who demand deterministic performance for large-scale model training, inference, and scientific computing. The GPU supports multiple precision formats—FP64, FP32, FP16, BF16, and INT8—making it adaptable to diverse algorithmic requirements. Software compatibility spans Intel oneAPI (including SYCL, OpenMP offload, and DPC++), alongside framework support for TensorFlow and PyTorch, ensuring smooth integration into existing development pipelines. The card runs on Linux environments including RHEL, SLES, and Ubuntu, providing flexibility across standard enterprise operating systems.
At Omnixon Global, we specialize in sourcing enterprise-grade GPU accelerators for regional data centers and research institutions. For bulk procurement, configuration assistance, or technical specifications regarding the XPGEDCGPU1100P, submit a Request for Quotation through our Dubai office and our team will respond with current availability and enterprise terms.
| Brand | Intel |
| Category | GPUs |
| SKU | XPGEDCGPU1100P |
| Part Number | XPGEDCGPU1100P |
| Condition | New |
| Manufacturer Part Number | XPGEDCGPU1100P |
| Product Name | Intel Data Center GPU Max 1100 PCIe |
| GPU Architecture | Ponte Vecchio (Xe-HPC) |
| Compute Tiles | 56 Xe-HPC stacks |
| Memory Capacity | 48 GB HBM2e |
| Memory Bus Width | 3072-bit |
| Memory Bandwidth | 1.229 TB/s |
| FP64 Peak Performance | 22.22 TFLOPS |
| FP32 Peak Performance | 22.22 TFLOPS |
| BF16 Peak Performance | 444 TFLOPS |
| FP16 Peak Performance | 444 TFLOPS |
| TDP | 300 W |
| Host Interface | PCIe 5.0 x16 |
| Form Factor | PCIe Add-In Card |
| Supported Precisions | FP64, FP32, FP16, BF16, INT8 |
| Software Stack | Intel oneAPI (SYCL, OpenMP offload, DPC++) |
| Framework Support | TensorFlow, PyTorch, OpenCL |
| Operating System Support | Linux (RHEL, SLES, Ubuntu) |
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.
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.
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.
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.