MI100 32G GPU is a high-performance accelerator engineered to meet the rigorous demands of high-performance computing (HPC) workloads. Leveraging AMD’s CDNA architecture, this GPU delivers exceptional computational power, making it an ideal choice for scientific research, artificial intelligence, and data analytics applications. Its advanced design ensures efficient processing and rapid data throughput, enabling faster time-to-discovery for complex computations.
Key Features:
- CDNA Architecture: Optimized for HPC and AI workloads, providing enhanced performance and energy efficiency.
- 32 GB HBM2 Memory: Offers high-bandwidth memory with a 4096-bit interface, ensuring rapid data access and processing.
- High Compute Performance: Achieves up to 11.5 TFLOPS in FP64 operations and 46.1 TFLOPS in FP32 matrix computations.
- Infinity Fabric™ Links: Includes three Infinity Fabric™ links, delivering up to 92 GB/s peak bandwidth for efficient multi-GPU communication.
- PCIe® 4.0 Support: Ensures high-speed data transfer with support for PCIe® 4.0 x16 interfaces.
Specifications (MI100 32G GPU):
| Specification | Details |
|---|---|
| GPU Architecture | CDNA |
| Compute Units | 120 (7,680 cores) |
| Base Clock | 1,000 MHz |
| Memory Size | 32 GB HBM2 |
| Memory Interface | 4,096-bit |
| Memory Bandwidth | Up to 1.228 TB/s |
| Peak FP64 Performance | 11.5 TFLOPS |
| Peak FP32 Performance | 23.1 TFLOPS |
| Peak FP32 Matrix Performance | 46.1 TFLOPS |
| Peak FP16 Performance | 92.3 TFLOPS |
| Peak INT8 Performance | 184.6 TOPS |
| Infinity Fabric™ Links | 3 |
| Peak Infinity Fabric™ Bandwidth | 92 GB/s |
| Form Factor | PCIe® Add-in Card (Double Slot) |
| Bus Type | PCIe® 4.0 x16 |
| Total Board Power (TBP) | 300W |
| Cooling Solution | Passive |
| Operating System Support | Linux x86_64 |
Elevate your computational capabilities with the AMD Instinct™ MI100 32G GPU. Its robust architecture and substantial memory capacity make it a formidable solution for tackling the most demanding HPC and AI workloads. Upgrade your infrastructure today to harness the full potential of this powerful accelerator.
