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AMD MI250/300: Highly-efficient GPUs for AI workloads

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.

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Get started with AMD MI250 and MI300 Cloud-based GPUs

Use cases

Cloud-based AMD MI250 and MI300 GPUs offer better performance and memory capabilities than many other GPUs on the market. They support up to 64GB of GDDR6 memory and 8 GB of HBM2 memory, allowing developers to handle massive datasets and perform complex computations with ease. Advanced features like Radeon Image Sharpening and Radeon Anti-Lag enhance image quality and reduce lag during inference.

Overall, cloud-based AMD MI250 and MI300 GPUs offer a powerful and flexible solution for AI/ML developers looking to optimise their workflows. With many AI training and inference applications suffering launch delays due to global supply issues, CUDO Compute can help you start building your applications immediately and reserve additional hard-to-find GPU capacity to future-proof your growth ambitions.

AMD MI250/300

Starting from POA
  • 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.

CUDO Compute: Accessible GPU rental

Industry demand for HPC resources has grown exponentially, driven by the explosion in ML training, deep learning, and AI inference applications. This growth has made it challenging for organizations to rent GPU resources or even buy some powerful data center and workstation GPUs.

Whether your field is data science, machine learning, or any high-performance computing on GPU, getting started is simple. Start using many of our HPC resources today, or reserve powerful data center GPUs to ensure you have the capacity to empower your developers and delight your customers.

Sign up and get started today with our on-demand GPU instances, or contact us to discuss your requirements.

Deploy high-performance cloud GPUs