Computer Graphics Card AMD.Radeon Instinct MI300 Radeon Instinct MI300X Radeon Instinct MI325X Gaming Graphics Card
Here’s a comparison table for Radeon Instinct MI300, Radeon Instinct MI300X, and Radeon Instinct MI325X, which are high-performance GPUs designed for AI, machine learning, and data center workloads:
Feature | Radeon Instinct MI300 | Radeon Instinct MI300X | Radeon Instinct MI325X |
---|---|---|---|
Architecture | CDNA 3 | CDNA 3 | CDNA 3 |
Compute Units | 192 | 208 | 224 |
FP32 Performance | ~46 TFLOPs | ~50 TFLOPs | ~54 TFLOPs |
FP64 Performance | ~23 TFLOPs | ~25 TFLOPs | ~27 TFLOPs |
AI Performance (FP16) | ~184 TFLOPs | ~200 TFLOPs | ~216 TFLOPs |
Memory | 128GB HBM3 | 128GB HBM3 | 144GB HBM3 |
Memory Bandwidth | ~5.2 TB/s | ~5.2 TB/s | ~5.6 TB/s |
TDP | ~600W | ~650W | ~700W |
Use Case | AI/ML, HPC | AI/ML, HPC | AI/ML, HPC |
Key Feature | High efficiency | Enhanced AI performance | Top-tier performance |
1. Radeon Instinct MI300
- Architecture: Built on AMD’s CDNA 3 architecture, optimized for AI, machine learning (ML), and high-performance computing (HPC) workloads.
- Performance: Features 192 Compute Units and delivers up to ~46 TFLOPs of FP32 performance and ~184 TFLOPs of FP16 performance, making it a powerful accelerator for AI and scientific computing.
- Memory: Equipped with 128GB of HBM3 memory, providing a massive memory capacity for large datasets and complex models.
- Memory Bandwidth: Offers ~5.2 TB/s of memory bandwidth, ensuring fast data access and processing.
- TDP: Operates at a ~600W thermal design power (TDP), balancing performance and energy efficiency.
- Use Case: Ideal for AI training and inference, HPC simulations, and data analytics in data centers.
- Key Feature: A high-efficiency GPU designed for scalable performance in demanding workloads.
2. Radeon Instinct MI300X
- Architecture: Also based on AMD’s CDNA 3 architecture, but with enhanced performance capabilities compared to the MI300.
- Performance: Boasts 208 Compute Units, delivering ~50 TFLOPs of FP32 performance and ~200 TFLOPs of FP16 performance, making it a top choice for AI and ML workloads.
- Memory: Comes with 128GB of HBM3 memory, ensuring ample memory for large-scale AI models and datasets.
- Memory Bandwidth: Provides ~5.2 TB/s of memory bandwidth, enabling rapid data processing.
- TDP: Operates at a ~650W TDP, offering higher performance for more intensive workloads.
- Use Case: Designed for advanced AI training, deep learning, and HPC applications that require higher computational power.
- Key Feature: An upgraded version of the MI300, optimized for enhanced AI performance and scalability.
3. Radeon Instinct MI325X
- Architecture: The flagship model in the MI300 series, built on AMD’s CDNA 3 architecture for maximum performance.
- Performance: Features 224 Compute Units, delivering ~54 TFLOPs of FP32 performance and ~216 TFLOPs of FP16 performance, making it one of the most powerful GPUs in its class.
- Memory: Equipped with 144GB of HBM3 memory, the largest in the series, to handle the most demanding AI and HPC workloads.
- Memory Bandwidth: Offers ~5.6 TB/s of memory bandwidth, ensuring ultra-fast data access and processing.
- TDP: Operates at a ~700W TDP, designed for maximum performance in data center environments.
- Use Case: Tailored for cutting-edge AI research, large-scale model training, and HPC simulations that require the highest levels of performance.
- Key Feature: The top-tier GPU in the MI300 series, offering unmatched performance for the most demanding applications.
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