AMDMI250/300
In comparison to traditional GPUs, cloud-based AMD MI250 and MI300 GPUs offer enhanced flexibility and scalability. Developers can easily spin up or down instances to match their changing HPC processing needs without having to worry about hardware maintenance or upgrades. Cloud-based GPUs also offer lower costs and faster deployment, allowing developers to focus on their core AI/ML development work rather than managing hardware.
Available at the most cost-effective pricing
Launch your AI products faster with on-demand GPUs and a global network of data center partners
Virtual machines
The ideal deployment strategy for AI workloads with a MI250/300.
Pricing available on request
Get pricing- Up to 8 GPUs / virtual machine
- Flexible
- Network attached storage
- Private networks
- Security groups
- Images
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Speak with an expertThe AMD MI250/300 is perfect for a wide range of workloads
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Specifications
| Starting from | POA |
| Architecture | CDNA2 | CDNA3 |
| Name | AMD Instinct™ MI250 | AMD Instinct™ MI300X |
| Family | Instinct |
| Series | MI200 Series | MI300 Series |
| Lithography | TSMC 6nm FinFET | TSMC 5nm | 6nm FinFET |
| Stream Processors | 13,312 | 19,456 |
| Compute Units | 208 | 304 |
| Peak Engine Clock | 1700 MHz | 2100 MHz |
| Peak Half Precision (FP16) Performance | 362.1 TFLOPs | 1.3 PFLOPs |
| Peak Single Precision Matrix (FP32) Performance | 90.5 TFLOPs | 163.4 TFLOPs |
| Peak Double Precision Matrix (FP64) Performance | 90.5 TFLOPs | 163.4 TFLOPs |
| Peak Single Precision (FP32) Performance | 45.3 TFLOPs | 163.4 TFLOPs |
| Peak Double Precision (FP64) Performance | 45.3 TFLOPs | 81.7 TFLOPs |
| Peak INT4 Performance | 362.1 TOPs | N/A |
| Peak INT8 Performance | 362.1 TOPs | 2.6 POPs |
| Peak bfloat16 | 362.1 TFLOPs | 1.3 PFLOPs |
| Thermal Design Power (TDP) | 500W | 560W Peak | 750W Peak |
| GPU Memory | 128 GB HBM2e | 192 GB HBM3 |
| Memory Interface | 8192-bit | 8192-bit |
| Memory Clock | 1.6 GHz | 5.2 GHz |
| Peak Memory Bandwidth | 3.2 TB/s | 5.3 TB/s |
| Memory ECC Support | Yes (Full-Chip) |
| GPU Form Factor | OAM Module |
| Bus Type | PCIe® 4.0 x16 | PCIe® 5.0 x16 |
| Infinity Fabric™ Links | 8 |
| Peak Infinity Fabric™ Link Bandwidth | 100 GB/s | 128 GB/s |
| Cooling | Passive OAM |
| Supported Technologies | AMD CDNA™ 2 Architecture, AMD ROCm™ - Ecosystem without Borders, AMD Infinity Architecture | AMD CDNA™ 3 Architecture, AMD ROCm™ - Ecosystem without Borders, AMD Infinity Architecture |
| RAS Support | Yes |
| Page Retirement | Yes |
| Page Avoidance | N/A | Yes |
| SR-IOV | N/A | Yes |
Use cases
Enhanced natural language processing
Utilise the efficient architecture of AMD MI250 and MI300 GPUs to accelerate natural language processing tasks such as text classification, sentiment analysis, and machine translation. This allows developers to build more sophisticated chatbots, voice assistants, and other NLP-driven applications that can understand and respond to human language faster and more accurately.
Faster deep learning training
Train deep neural networks up to 4x faster with cloud-based AMD MI250 and MI300 GPUs compared to traditional CPUs. This enables developers to experiment with larger datasets and complex models, leading to improved model accuracy and better decision-making insights for customer applications.
Real-time video analytics
Deploy the parallel processing capabilities of AMD MI250 and MI300 GPUs and perform real-time video analytics in the cloud. Developers can analyse live video streams, detect objects, classify actions, and track movements with minimal latency, enabling applications such as smart surveillance and autonomous vehicles.
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We're proud to be an NVIDIA preferred partner for compute, offering the latest GPUs and high-performance computing solutions.
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Pricing & reservation enquiry
Enquire about access today to test the MI250/300 GPU Cloud, or reserve your MI250/300 Cloud on CUDO Compute for as long as you want it, with unique contracts tailored to suit your needs.
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