Brand: AMD | Category: GPUs
SKU: AMD-100-300000009 | Part #: 100-300000009 | MPN: 100-300000009
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PCIe 5.0 x16 and 750 W TDP define the server chassis and power supply requirements for this AMD Instinct MI350X GPU Accelerator (part number 100-300000009), making compatibility assessment the first step in your deployment planning. This enterprise-grade accelerator is purpose-built for data center, HPC cluster, and AI infrastructure environments where large-scale compute density and memory bandwidth are mission-critical. The AMD Instinct MI350X combines cutting-edge CDNA 4 architecture with massive on-board memory resources to deliver the throughput demanded by modern AI workloads, large language models, and scientific computing applications.
Housed in the OAM (OCP Accelerator Module) form factor, this accelerator integrates seamlessly into standard data center server designs while maintaining passive cooling—requiring either liquid or forced-air chassis cooling infrastructure. With 288 GB of HBM3E memory and 8.0 TB/s memory bandwidth, the MI350X eliminates memory bottlenecks in compute-intensive workflows. AI infrastructure teams will appreciate the wide framework support: PyTorch, TensorFlow, JAX, OpenCL, and HIP all run on AMD's open-source ROCm software stack, ensuring compatibility with existing development pipelines. Peak compute performance spans FP8 (4,610 TFLOPS), FP16 (2,305 TFLOPS), BF16 (2,305 TFLOPS), FP32 (1,153 TFLOPS), and FP64 (576 TFLOPS), enabling flexible precision optimization for different model architectures. AMD Infinity Fabric interconnect enables multi-GPU scaling for distributed training and inference at scale.
Contact Omnixon Global to request a detailed quotation for the AMD Instinct MI350X GPU Accelerator 100-300000009 and discuss your enterprise deployment requirements.
| Brand | AMD |
| Category | GPUs |
| SKU | AMD-100-300000009 |
| Part Number | 100-300000009 |
| Condition | New |
| Interface | PCIe Gen5 |
| Manufacturer Part Number | 100-300000009 |
| Product Family | AMD Instinct MI350X |
| GPU Architecture | CDNA 4 |
| Form Factor | OAM (OCP Accelerator Module) |
| Memory Type | HBM3E |
| Memory Capacity | 288 GB |
| Memory Bandwidth | 8.0 TB/s |
| Peak FP8 Compute | 4,610 TFLOPS |
| Peak FP16 Compute | 2,305 TFLOPS |
| Peak BF16 Compute | 2,305 TFLOPS |
| Peak FP32 Compute | 1,153 TFLOPS |
| Peak FP64 Compute | 576 TFLOPS |
| TDP (Thermal Design Power) | 750 W |
| Interconnect | AMD Infinity Fabric |
| PCIe Interface | PCIe 5.0 x16 |
| Software Stack | AMD ROCm (open-source) |
| Supported Frameworks | PyTorch, TensorFlow, JAX, OpenCL, HIP |
| Cooling | Passive (liquid or forced-air chassis cooling required) |
| Target Deployment | Data center, HPC cluster, AI infrastructure |
The AMD Instinct MI350X GPU Accelerator accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
Key specifications for the AMD Instinct MI350X GPU Accelerator: interface PCIe Gen5; 3 years support; new condition; support 3 years standard (manufacturer); ai optimized Yes. Manufacturer part number 100-300000009. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The AMD Instinct MI350X GPU Accelerator requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.