AMD brings Multi-GPU support to ROCm™ 6.1 Software for AMD Radeon™ desktop systems

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With ROCm™ 6.1 open compute software, we are making AI development and deployment with AMD Radeon™ desktop GPUs more compatible, accessible and scalable with the addition of key feature enhancements - now enabling local and private AI workstation configurations for up to four users.

Developers working with advanced AI and Machine Learning (ML) models to revolutionize the industry can leverage select AMD Radeon™ desktop graphics cards to build a local, private, and cost-effective solution for AI development.

Accelerate Machine Learning Workflows on Your Desktop

A local PC or workstation with one or multiple high-end Radeon 7000 series GPUs presents a powerful, yet affordable solution to address the growing challenges in ML development thanks to very large GPU memory sizes of 24GB, 32GB and even 48GB.

Radeon™ 7000 series GPUs feature more than 2x higher AI performance per Compute Unit (CU) compared to the previous generation1, and are equipped with up to 192 AI accelerators.

Open-source Community Support and Collaboration

AMD ROCm software allows developers the freedom to customize and tailor their GPU software for their own needs encouraging community collaboration.

Support for Hugging Face models and tools on Radeon GPUs using ROCm, allowing users to unlock the full potential of LLMs on their desktop systems.

Microsoft® DirectML and Nod.AI SHARK Support­

For ISV application development and for those looking to use Radeon 7000 series graphics cards for ML development on Windows®, Microsoft DirectML and Nod.AI SHARK are also available. Both platforms support popular frameworks like ONNX, PyTorch and TensorFlow.






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AMD
Multi-GPU support
ROCm
AMD Radeon
desktop systems
desktop GPUs
workstation configurations