Brand: Intel | Category: GPUs
SKU: INTE-GPUMAX1550 | Part #: GPU-MAX-1550 | MPN: GPU-MAX-1550
Contact for Pricing — Request a Quote
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.
Yes — Omnixon supplies 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.
Submit your quantity, destination country, and required lead time below. Our pre-sales team responds within 48 hours with confirmed competitive quoting, availability, and matching support contract options.
Request a Quote →Product information is provided for B2B procurement guidance. All trademarks are property of their respective owners.
| Brand | Intel |
| Category | GPUs |
| SKU | INTE-GPUMAX1550 |
| Part Number | GPU-MAX-1550 |
| Condition | New |
| GPU Memory | 128 GB |
| Memory Type | HBM2e |
| Power Connector | 12V-2x6 / 16-pin (server-class) |
| Manufacturer Part Number | GPU-MAX-1550 |
| Product Line | Data Center GPU Max |
| Form Factor | PCIe Accelerator |
| Peak FP64 Performance | 51.1 TFLOPS |
| Peak FP32 Performance | 102.1 TFLOPS |
| Memory Bandwidth | 2.9 TBps |
| PCIe Generation | PCIe 5.0 |
| Max Power Consumption | 420 W |
| Operating Temperature | 0–50°C |
| Supported Workloads | LLM training, Inference, HPC |
| Cooling | Passive + Active (server-dependent) |
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.
Yes — Omnixon supplies 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.
