100% Original Wholesale AMD Instinct MI250 MI250x MI200 MI210 MI100 Graphics Card

100% Original Wholesale AMD Instinct MI250 MI250x MI200 MI210 MI100 Graphics Card

Below is a detailed comparison table for AMD Instinct MI250, MI250X, MI200, MI210, and MI100 accelerators, highlighting their key specifications and differences:

Specification	AMD Instinct MI250	AMD Instinct MI250X	AMD Instinct MI200	AMD Instinct MI210	AMD Instinct MI100
Architecture	CDNA 2	CDNA 2	CDNA 2	CDNA 2	CDNA 1
FP64 Performance	~47.9 TFLOPS	~47.9 TFLOPS	~47.9 TFLOPS	~26.5 TFLOPS	~11.5 TFLOPS
FP32 Performance	~95.7 TFLOPS	~95.7 TFLOPS	~95.7 TFLOPS	~53.0 TFLOPS	~23.1 TFLOPS
FP16 Performance	~383 TFLOPS	~383 TFLOPS	~383 TFLOPS	~212 TFLOPS	~92.4 TFLOPS
Memory Capacity	128GB HBM2e	128GB HBM2e	128GB HBM2e	64GB HBM2e	32GB HBM2
Memory Bandwidth	3.2 TB/s	3.2 TB/s	3.2 TB/s	1.6 TB/s	1.23 TB/s
Form Factor	OAM (Open Accelerator Module)	OAM (Open Accelerator Module)	OAM (Open Accelerator Module)	PCIe 4.0 x16	PCIe 4.0 x16
Power Consumption	~560W	~560W	~560W	~300W	~300W
Use Case	HPC, AI, Machine Learning	HPC, AI, Machine Learning	HPC, AI, Machine Learning	HPC, AI, Machine Learning	HPC, AI, Machine Learning
Key Features	– Dual-GPU design – Optimized for FP64 and FP32 workloads – High memory bandwidth	– Dual-GPU design – Optimized for FP64 and FP32 workloads – High memory bandwidth	– Dual-GPU design – Optimized for FP64 and FP32 workloads – High memory bandwidth	– Single-GPU design – Optimized for FP64 and FP32 workloads	– Single-GPU design – Optimized for FP64 and FP32 workloads
Target Market	Supercomputing, Data Centers	Supercomputing, Data Centers	Supercomputing, Data Centers	Enterprise, Research	Enterprise, Research

AMD Instinct MI250

The AMD Instinct MI250 is a high-performance accelerator designed for supercomputing and data center environments. Built on the CDNA 2 architecture, it delivers exceptional performance for FP64, FP32, and FP16 workloads, making it ideal for high-performance computing (HPC), AI, and machine learning applications.

• Performance: Offers up to 47.9 TFLOPS FP64, 95.7 TFLOPS FP32, and 383 TFLOPS FP16 performance.
• Memory: Equipped with 128GB of HBM2e memory and a 3.2 TB/s memory bandwidth, ensuring fast data access for memory-intensive workloads.
• Form Factor: Uses the OAM (Open Accelerator Module) form factor, optimized for dense server deployments.
• Power Consumption: Consumes approximately 560W, making it suitable for high-performance, energy-efficient data centers.
• Use Cases: Ideal for scientific simulations, AI training, and large-scale data analytics.

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AMD Instinct MI250X

The AMD Instinct MI250X is a variant of the MI250, offering similar performance and features but optimized for specific workloads. It is designed for supercomputing and data center environments, providing exceptional performance for FP64 and FP32 workloads.

• Performance: Matches the MI250 with 47.9 TFLOPS FP64, 95.7 TFLOPS FP32, and 383 TFLOPS FP16 performance.
• Memory: Features 128GB of HBM2e memory and 3.2 TB/s memory bandwidth.
• Form Factor: Uses the OAM (Open Accelerator Module) form factor for high-density server configurations.
• Power Consumption: Consumes approximately 560W.
• Use Cases: Perfect for HPC, AI, and machine learning workloads in data centers.

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AMD Instinct MI200

The AMD Instinct MI200 is another accelerator in the MI200 series, built on the CDNA 2 architecture. It is designed for supercomputing and data center applications, offering high performance for FP64 and FP32 workloads.

• Performance: Delivers 47.9 TFLOPS FP64, 95.7 TFLOPS FP32, and 383 TFLOPS FP16 performance.
• Memory: Equipped with 128GB of HBM2e memory and 3.2 TB/s memory bandwidth.
• Form Factor: Uses the OAM (Open Accelerator Module) form factor.
• Power Consumption: Consumes approximately 560W.
• Use Cases: Ideal for scientific research, AI, and machine learning in data centers.

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AMD Instinct MI210

The AMD Instinct MI210 is a single-GPU accelerator based on the CDNA 2 architecture, designed for enterprise and research applications. It offers a balance of performance and efficiency for FP64 and FP32 workloads.

• Performance: Provides 26.5 TFLOPS FP64, 53.0 TFLOPS FP32, and 212 TFLOPS FP16 performance.
• Memory: Features 64GB of HBM2e memory and 1.6 TB/s memory bandwidth.
• Form Factor: Uses a PCIe 4.0 x16 form factor, making it compatible with standard server and workstation systems.
• Power Consumption: Consumes approximately 300W.
• Use Cases: Suitable for enterprise HPC, AI inference, and research workloads.

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AMD Instinct MI100

The AMD Instinct MI100 is based on the CDNA 1 architecture and is designed for enterprise and research applications. It provides strong performance for FP64 and FP32 workloads, making it a cost-effective solution for HPC and AI tasks.

• Performance: Delivers 11.5 TFLOPS FP64, 23.1 TFLOPS FP32, and 92.4 TFLOPS FP16 performance.
• Memory: Equipped with 32GB of HBM2 memory and 1.23 TB/s memory bandwidth.
• Form Factor: Uses a PCIe 4.0 x16 form factor for compatibility with standard systems.
• Power Consumption: Consumes approximately 300W.
• Use Cases: Ideal for enterprise HPC, AI inference, and research workloads.

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Comparison Summary

• MI250, MI250X, MI200: Designed for supercomputing and data centers, these accelerators offer the highest performance, memory capacity, and bandwidth, making them ideal for HPC and AI workloads.
• MI210: A single-GPU solution for enterprise and research, offering a balance of performance and efficiency.
• MI100: A cost-effective option for enterprise and research, based on the older CDNA 1 architecture but still capable of handling HPC and AI tasks.