Technical Specifications
AMD MI300X Specifications
- Compute units: 14080
- Stream processors: 112640
- Peak half precision (FP16) performance: 957 TFLOPs
- Peak single precision (FP32) performance: 47.9 TFLOPs
- Peak double precision (FP64) performance: 47.9 TFLOPs
- Dedicated memory size: Up to 192 GB
- Dedicated memory type: HBM3
- Peak memory bandwidth: Up to 6825.6 GB/s
- 600 W
AMD MI300A Specifications
- GPU Architecture: CDNA3
- Stream Processors: 14,592
- Matrix Cores: 912
- Dedicated Memory Size: 128 GB
- Memory Clock: 5.2 GHz
- Memory Interface: 8192-bit
- Peak Memory Bandwidth: 5.3 TB/s
- 600 W
Why Choose the AMD MI300X
Leading the Charge in Next-Gen AI Workload Management
Performance
The MI300X is one of the fastest AI accelerators on the market when it is released. It delivers industry-leading performance for large language model training and inference, as well as generative AI workloads. This makes it ideal for customers who need the highest possible performance for their AI applications.
Scalability
The MI300X is designed to scale to meet the needs of even the most demanding AI workloads. It supports up to 192 GB of HBM3 memory, which allows it to handle large datasets and complex models. This makes it ideal for customers who need to scale their AI applications to meet growing demand.
Open software ecosystem
The MI300X is supported by an open software ecosystem, including ROCm 5.4. This makes it easy for customers to develop and deploy AI applications on the MI300X. It also gives customers the flexibility to choose the software tools that best meet their needs.
Use Cases
Financial modeling
The MI300X can be used to accelerate financial modeling workloads such as risk analysis and portfolio optimization. These workloads are used by financial institutions to make better investment decisions.
Generative AI
The MI300X can also be used to accelerate generative AI workloads such as image synthesis, video editing, and music generation. Generative AI is a rapidly growing field with a wide range of potential applications.
Large language model training and inference
The MI300X is ideally suited for training and deploying large language models (LLMs) such as GPT-3 and LaMDA. LLMs are used for a variety of tasks, including generating text, translating languages, and answering questions in an informative way.
