Brand: Intel | Category: GPUs
SKU: GPUMAX1550CXMR | Part #: GPUMAX1550CXMR | MPN: GPUMAX1550CXMR
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The Intel Data Center GPU Max 1550C is a Compute Module designed for high-performance AI and scientific computing workloads in enterprise data centers. Built on Intel's Xe HPC architecture (Ponte Vecchio), this accelerator delivers massive parallel processing capability through 128 Xe-cores, each equipped with 8 Vector Engines and 8 Matrix Engines for tensor operations. With 128 GB of HBM2e memory and 3.2 TB/s memory bandwidth, the GPUMAX1550CXMR excels at memory-intensive deep learning, simulation, and analytics tasks that demand both compute density and data throughput.
Intel's oneAPI software stack—including SYCL, OpenCL, oneDNN, and oneMKL—provides a unified programming framework across heterogeneous systems, simplifying deployment and optimization. The module features Intel Xe Link for peer-to-peer GPU communication, enabling multi-GPU scaling, and connects via PCIe 5.0 x16 through a dedicated module connector. With a 600 W TDP and fabricated using Intel 7 plus TSMC N5/N7 multi-tile heterogeneous packaging, this accelerator balances raw performance with power efficiency. AI infrastructure teams and HPC procurement professionals seeking enterprise-grade GPU compute for machine learning training, inference acceleration, and scientific computing will find the GPU Max 1550C a compelling addition to next-generation data center deployments. Contact Omnixon Global today to request a quotation for the Intel Data Center GPU Max 1550C.
| Brand | Intel |
| Category | GPUs |
| SKU | GPUMAX1550CXMR |
| Part Number | GPUMAX1550CXMR |
| Condition | New |
| Manufacturer Part Number | GPUMAX1550CXMR |
| Product Name | Intel Data Center GPU Max 1550C |
| Form Factor | Compute Module |
| Architecture | Intel Xe HPC (Ponte Vecchio) |
| Xe-cores | 128 |
| Vector Engines per Xe-core | 8 |
| Matrix Engines (XMX) per Xe-core | 8 |
| Memory Type | HBM2e |
| Memory Capacity | 128 GB |
| Memory Bandwidth | 3.2 TB/s |
| Peak FP64 Vector Performance | 52.4 TFLOPS |
| Peak FP32 Performance | 104.8 TFLOPS |
| Peak BF16 Performance | 419.2 TOPS |
| Peak INT8 Performance | 838.4 TOPS |
| TDP | 600 W |
| Process Technology | Intel 7 + TSMC N5/N7 (multi-tile, heterogeneous packaging) |
| Interconnect | Xe Link (peer GPU high-speed interconnect) |
| PCIe Interface | PCIe 5.0 x16 (host interface via module connector) |
| Software Stack | Intel oneAPI (SYCL, OpenCL, oneDNN, oneMKL) |
| OS Support | Linux (Red Hat Enterprise Linux, SUSE Linux Enterprise, Ubuntu LTS) |
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.