MI250X GPU
The AMD Instinct MI250X is a dual-GCD accelerator with 128GB HBM2e memory, designed for HPC and AI workloads in exascale systems.

Cloud Pricing
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 128 GB HBM2e memory capacity accommodates large datasets and models
- 3.2 TB/s memory bandwidth supports memory-intensive workloads
- 383 TFLOPs FP16 performance for AI training applications
- 95.7 TFLOPs FP64 matrix performance for scientific computing
- 8 Infinity Fabric links enable high-bandwidth multi-GPU scaling
- OAM form factor optimized for datacenter deployment
- ECC memory support for error-critical applications
- 560W peak power consumption requires substantial cooling infrastructure
- OAM form factor limits compatibility to specific server platforms
- CDNA 2 architecture predates newer GPU generations with enhanced features
- Limited ecosystem compared to CUDA for certain AI frameworks
- High memory capacity may be excessive for smaller workloads
Key Features
About MI250X
Common Use Cases
The MI250X excels in HPC workloads requiring substantial memory capacity and double-precision performance, including computational fluid dynamics, molecular dynamics simulations, and climate modeling. The 128 GB memory makes it suitable for training large AI models that exceed the capacity of smaller GPUs, while the high FP64 performance serves scientific applications demanding numerical precision. Multi-GPU configurations benefit from Infinity Fabric connectivity for applications requiring distributed memory across multiple accelerators.
Full Specifications
Hardware
- Manufacturer
- AMD
- Architecture
- CDNA 2
- TDP
- 560W
Memory & Performance
- VRAM
- 128GB
- Memory Bandwidth
- 3276 GB/s
- FP16
- 383 TFLOPS
- FP64
- 47.87 TFLOPS
- Release
- 2021
Frequently Asked Questions
How much does a MI250X cost per hour in the cloud?
MI250X pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the MI250X best used for?
The MI250X is optimized for HPC workloads requiring large memory capacity and high double-precision performance, large-scale AI model training, scientific simulations, and memory-intensive applications that benefit from the 128 GB HBM2e capacity.
How does the MI250X compare to NVIDIA H100 for AI workloads?
The MI250X offers 128 GB memory compared to H100's 80 GB, providing advantages for memory-bound workloads. However, the H100 features newer Hopper architecture with Transformer Engine and higher FP16 throughput. The choice depends on whether memory capacity or compute efficiency is the primary requirement.