Brand: AMD | Category: GPUs
SKU: AMD-100000001076 | Part #: 100-000001076 | MPN: 100-000001076
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The AMD Instinct MI300X is a next-generation CDNA 3 architecture GPU accelerator purpose-built for AI/HPC workloads at massive scale. Featuring 192GB of HBM3 memory with 5.3TB/s aggregate bandwidth, the MI300X delivers exceptional throughput for LLM training, fine-tuning, and inference operations while minimizing data movement bottlenecks that constrain model performance. The processor integrates 304 compute units with support for FP8, BF16, FP16, and FP32 precision modes, enabling flexible optimization across model architectures from dense transformers to mixture-of-experts configurations. Its substantial memory capacity and bandwidth advantage positions it as a direct competitor to NVIDIA's H100 in supporting trillion-parameter model workloads and complex multi-GPU training topologies.
| Manufacturer | AMD |
| Product Line | Instinct MI300X |
| Architecture | CDNA 3 |
| GPU Memory | 192GB HBM3 |
| Memory Bandwidth | 5.3TB/s |
| Memory Interface | 12-channel HBM3 |
| Compute Units | 304 CUs |
| Stream Processors | 19,456 |
| Peak FP8 Performance | 1.46 exaFLOPS |
| Peak FP16 Performance | 728 TFLOPS |
| Peak FP32 Performance | 364 TFLOPS |
| Peak FP64 Performance | 182 TFLOPS |
| L3 Cache | 384MB |
| TDP | 750W |
| Interconnect | 200Gbps per direction (8x links) |
| PCIe Interface | 5.0 x16 |
| Manufacturing Process | 5nm |
| ECC Support | Full single/double-bit detection and correction |
| Supported Precision Modes | FP8, BF16, TF32, FP16, FP32, FP64 |
| Software Stack | AMD ROCm 5.6+, PyTorch, TensorFlow, MIGraphX |
| Form Factor | Dual-slot GPU accelerator card |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | AMD |
| Category | GPUs |
| SKU | AMD-100000001076 |
| Part Number | 100-000001076 |
| Condition | New |
| Product Line | Instinct MI300X |
| Architecture | CDNA 3 |
| GPU Memory | 192GB HBM3 |
| Memory Bandwidth | 5.3TB/s |
| Memory Interface | 12-channel HBM3 |
| Compute Units | 304 CUs |
| Stream Processors | 19,456 |
| Peak FP8 Performance | 1.46 exaFLOPS |
| Peak FP16 Performance | 728 TFLOPS |
| Peak FP32 Performance | 364 TFLOPS |
| Peak FP64 Performance | 182 TFLOPS |
| L3 Cache | 384MB |
| TDP | 750W |
| Interconnect | 200Gbps per direction (8x links) |
| PCIe Interface | 5.0 x16 |
| Manufacturing Process | 5nm |
| ECC Support | Full single/double-bit detection and correction |
| Supported Precision Modes | FP8, BF16, TF32, FP16, FP32, FP64 |
| Software Stack | AMD ROCm 5.6+, PyTorch, TensorFlow, MIGraphX |
| Form Factor | Dual-slot GPU accelerator card |