Brand: Gigabyte | Category: GPUs
SKU: GV-AMI325X-256G | Part #: GV-AMI325X-256G | MPN: GV-AMI325X-256G
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PCIe 5.0 x16 interface and 750 W thermal design power determine server chassis and power supply compatibility—critical factors for AI infrastructure teams planning large-scale accelerator deployments. The Gigabyte AMD Instinct MI325X 256GB HBM3E OAM GPU Accelerator (part number GV-AMI325X-256G) is an enterprise-grade compute accelerator purpose-built for data centers requiring massive parallel processing capacity. Housed in the OCP Accelerator Module (OAM) form factor, this Gigabyte accelerator integrates AMD CDNA 3 architecture with 256 GB of high-bandwidth HBM3E memory delivering 6.0 TB/s memory bandwidth—essential for AI model training, inference, and scientific computing at scale.
The MI325X achieves peak performance metrics of 163.4 TFLOPS for both FP64 and FP32 operations, 1,307.4 TFLOPS for FP16 and BF16 precision, and 2,614.9 TFLOPS for FP8 workloads, enabling flexible optimization across diverse AI frameworks. AMD Infinity Fabric interconnect support facilitates multi-GPU scaling, while the open-source AMD ROCm software platform provides native support for PyTorch, TensorFlow, JAX, and OpenMPI—the industry standard frameworks for machine learning and HPC applications. The 750 W power envelope is engineered for efficiency within dense server configurations.
For AI infrastructure teams, procurement specialists, and systems integrators across the UAE and MENA region, Omnixon Global supplies the Gigabyte AMD Instinct MI325X with full technical support and enterprise terms. Contact Omnixon Global to request an RFQ for this accelerator and discuss your deployment requirements.
| Brand | Gigabyte |
| Category | GPUs |
| SKU | GV-AMI325X-256G |
| Part Number | GV-AMI325X-256G |
| Condition | New |
| Manufacturer Part Number | GV-AMI325X-256G |
| GPU Model | AMD Instinct MI325X |
| Architecture | AMD CDNA 3 |
| Form Factor | OAM (OCP Accelerator Module) |
| Memory Capacity | 256 GB |
| Memory Type | HBM3E |
| Memory Bandwidth | 6.0 TB/s |
| Peak FP64 Performance | 163.4 TFLOPS |
| Peak FP32 Performance | 163.4 TFLOPS |
| Peak FP16 Performance | 1,307.4 TFLOPS |
| Peak BF16 Performance | 1,307.4 TFLOPS |
| Peak FP8 Performance | 2,614.9 TFLOPS |
| Interconnect | AMD Infinity Fabric |
| PCIe Interface | PCIe 5.0 x16 |
| Thermal Design Power (TDP) | 750 W |
| Software Platform | AMD ROCm (open-source) |
| Supported Frameworks | PyTorch, TensorFlow, JAX, OpenMPI |
| OCP Compliance | OCP Accelerator Module (OAM) specification |
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.