AMD Instinct MI300A 128GB HBM3 APU OAM Accelerator
Brand: AMD | Category: GPUs
SKU: 100-000000846 | Part #: 100-000000846 | MPN: 100-000000846
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About the AMD Instinct MI300A 128GB HBM3 APU OAM Accelerator
PCIe Gen 5 and 550 W TDP are the primary considerations when integrating the AMD Instinct MI300A 128GB HBM3 APU OAM Accelerator into enterprise infrastructure—these specifications determine server chassis compatibility and power supply dimensioning. This unified-memory APU combines AMD's CDNA 3 GPU architecture with 24 AMD EPYC Zen 4 CPU cores, delivering a single coherent memory pool of 128 GB HBM3 that eliminates the traditional discrete CPU/GPU memory split. The result is a purpose-built accelerator for workloads requiring high-bandwidth, low-latency data movement between compute and memory.
The MI300A OAM (OCP Accelerator Module) form factor integrates 228 CDNA 3 compute units with aggregate memory bandwidth of 5.3 TB/s, supporting a comprehensive precision palette including FP64, FP32, FP16, BF16, INT8, and FP8. For AI infrastructure teams and HPC procurement specialists evaluating dense, coherent-memory compute platforms, this accelerator delivers matrix and vector performance across multiple numerical formats. AMD ROCm software enables HIP, OpenMP offload, and OpenCL programming models. Part number 100-000000846 is the exact SKU for this configuration. To evaluate the MI300A for your specific workload requirements and request detailed pricing and availability information, contact the Omnixon Global team for an RFQ.
Key Specifications
- Manufacturer: AMD
- Part Number: 100-000000846
- Form Factor: OAM (OCP Accelerator Module)
- CPU Cores: 24 x AMD EPYC (Zen 4)
- GPU Compute Units: 228 CDNA 3 Compute Units
- Unified Memory: 128 GB HBM3
- Memory Bandwidth: 5.3 TB/s (aggregate)
- Peak FP64 Vector Performance: Up to 61.3 TFLOPS
- Peak FP64 Matrix Performance: Up to 122.6 TFLOPS
- Peak FP32 Performance: Up to 122.6 TFLOPS
- Peak BF16/FP16 Matrix Performance: Up to 1,457.9 TFLOPS (sparse)
- Peak FP8 Matrix Performance: Up to 2,915.9 TFLOPS (sparse)
- Host Interface: PCIe Gen
Technical Specifications
| Brand | AMD |
| Category | GPUs |
| SKU | 100-000000846 |
| Part Number | 100-000000846 |
| Condition | New |
| Manufacturer Part Number | 100-000000846 |
| Product Name | AMD Instinct MI300A APU OAM Accelerator |
| Architecture | AMD CDNA 3 (GPU) + AMD Zen 4 (CPU) |
| Form Factor | OAM (OCP Accelerator Module) |
| CPU Cores | 24 x AMD EPYC (Zen 4) |
| GPU Compute Units | 228 CDNA 3 Compute Units |
| Unified Memory Capacity | 128 GB HBM3 |
| Memory Type | HBM3 |
| Memory Bandwidth | 5.3 TB/s (aggregate) |
| Memory Architecture | Unified CPU+GPU shared memory pool (no discrete CPU/GPU memory split) |
| FP64 Vector Performance | Up to 61.3 TFLOPS |
| FP64 Matrix Performance | Up to 122.6 TFLOPS |
| FP32 Performance | Up to 122.6 TFLOPS |
| BF16 / FP16 Matrix Performance | Up to 1,457.9 TFLOPS (sparse) |
| FP8 Matrix Performance | Up to 2,915.9 TFLOPS (sparse) |
| Supported Precisions | FP64, FP32, FP16, BF16, INT8, FP8 |
| TDP | 550 W |
| Host Interface | PCIe Gen 5 |
| Software Platform | AMD ROCm (HIP, OpenMP offload, OpenCL) |
| Target Platform | OCP Universal Baseboard (UBB) systems |
Frequently Asked Questions about AMD Instinct MI300A 128GB HBM3 APU OAM Accelerator
What server platforms accept the AMD Instinct MI300A 128GB HBM3 APU OAM Accelerator?
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.
How long is the lead time on AI GPUs?
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.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
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.
Can you help with NVIDIA AI Enterprise licensing?
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.