Brand: AMD | Category: GPUs
SKU: 100-300000074 | Part #: 100-300000074 | MPN: 100-300000074
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LLM training, inference, and high-performance computing workloads demand massive memory bandwidth and efficient parallel processing—precisely what the AMD Radeon Pro W7900 delivers through its 6 High Bandwidth Memory Stacks and PCIe 4.0 architecture. Built for AI infrastructure teams and compute-intensive enterprises, this 48 GB GDDR6 workstation GPU (part number 100-300000074) combines exceptional memory capacity with a 576 GB/s bandwidth ceiling, enabling rapid data movement across training pipelines and inference clusters. The AMD design uses a full-length dual-slot form factor and server-class 12V-2x6 / 16-pin power connectors, ensuring integration into enterprise-grade compute environments without bottleneck constraints.
The PCIe 4.0 x16 interface guarantees bi-directional throughput that keeps GPUs fed with training data and model weights, while the 48 GB memory footprint accommodates large model architectures and batch sizes that would overwhelm smaller alternatives. Organizations scaling AI infrastructure, deploying distributed HPC simulations, or building inference clusters will find the AMD Radeon Pro W7900 a purpose-built accelerator that removes memory constraints from the equation.
| Brand | AMD |
| Category | GPUs |
| SKU | 100-300000074 |
| Part Number | 100-300000074 |
| Condition | New |
| GPU Memory | 48 GB |
| Memory Type | GDDR6 |
| Power Connector | 12V-2x6 / 16-pin (server-class) |
| GPU Model | Radeon Pro W7900 |
| Manufacturer Part Number | 100-300000074 |
| GPU Memory Capacity | 48 GB |
| Memory Bandwidth | 576 GB/s |
| Interface | PCIe 4.0 x16 |
| TDP | 320 W |
| GPU Memory Stacks | 6 High Bandwidth Memory Stacks |
| Target Workloads | LLM training, inference, HPC |
| Form Factor | Full-length dual-slot |
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.