Rent AMD Instinct MI250X Cloud Instances
📊 Pricing at a Glance
AMD Instinct MI250X rental pricing ranges from $1.28/GPU/hr to $1.60/GPU/hr across 4 instances from 1 providers (updated June 2026).
Looking for a specific provider? See Cirrascale AMD Instinct MI250X.
Available Offers
Compare the top 5 cheapest offers from 1 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
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Technical Specifications
Strengths & Limitations
- Exceptional double-precision (FP64) performance, crucial for scientific computing.
- High memory bandwidth with HBM2e, enabling faster data transfer.
- Optimized for large-scale HPC and AI workloads.
- Strong performance in specific AI training tasks.
- Advanced features for virtualization and security.
- Higher hourly cost compared to many NVIDIA GPUs (e.g., significantly more expensive than an NVIDIA H100 PCIe at $1.07/hr).
- Software ecosystem and tooling may not be as mature as NVIDIA's CUDA ecosystem.
- Performance in certain AI tasks may lag behind NVIDIA's offerings.
- Limited availability compared to some NVIDIA GPUs.
- Power consumption can be high.
Top Use Cases
Ideal for running complex simulations in fields like weather forecasting, computational fluid dynamics, and materials science, leveraging its strong FP64 performance and memory bandwidth.
Suitable for training large deep learning models, particularly those requiring high memory capacity and bandwidth, such as natural language processing models.
Enables researchers to accelerate their work in various scientific domains by providing the necessary compute power for data analysis, modeling, and simulation.
Real-World Benchmark
Market Analysis
The AMD Instinct MI250X competes with NVIDIA's high-end data center GPUs, such as the A100 and H100. It offers a compelling alternative for users who prioritize FP64 performance and are comfortable with the AMD software ecosystem. However, its higher cost compared to some NVIDIA options may be a barrier for some users. The market is rapidly evolving, with new GPUs from both AMD and NVIDIA constantly being released, so staying up-to-date with the latest benchmarks is crucial.
Frequently Asked Questions
What is the AMD CDNA 2 architecture?â–¾
AMD CDNA 2 is AMD's second-generation data center GPU architecture, designed for high-performance computing and AI workloads. It features enhanced compute units, improved memory bandwidth, and advanced features for virtualization and security.
Is the MI250X suitable for gaming?â–¾
No, the AMD Instinct MI250X is designed for data center workloads and is not optimized for gaming. Consumer-grade GPUs like the GeForce RTX series are better suited for gaming applications.
What software tools are available for developing applications on the MI250X?â–¾
AMD provides the ROCm (Radeon Open Compute) platform, which includes compilers, libraries, and tools for developing and deploying applications on AMD GPUs. While ROCm is powerful, the CUDA ecosystem from NVIDIA is often considered more mature and widely adopted.
Alternative GPUs
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