New AMD ROCm 6.0 Release Enhances Radeon PRO W7800 & RX 7900 GRE GPU Support

AMD expands its client-based ML Development offering with the release of ROCm 6.0, providing AI enthusiasts with greater accessibility to desktop graphics cards and enhanced solution stack, including support for ONNX Runtime and mixed precision training with PyTorch.

Expanded range of options for AI development with support for Radeon PRO W7800 and Radeon RX 7900 GRE GPUs
Integration with ONNX Runtime for easier conversion of AI models between different frameworks
Mixed precision with FP32/FP16 for more efficient and accurate training processes

In a recent announcement, AMD revealed its plans to expand its client-based ML Development offering with the release of AMD ROCm 6.0. This move comes as a continuation of the company’s support for AI researchers and ML engineers, following their previous support for the AMD Radeon RX 7900 XT, XTX, and Radeon PRO W7900 GPUs.

With the introduction of AMD ROCm 6.0, AI enthusiasts can now develop on Radeon PRO W7800 and Radeon RX 7900 GRE GPUs, further expanding the range of options available to them. This move aims to provide the AI community with greater accessibility to desktop Graphics Cards at various price points and performance levels.

To enhance their solution stack, AMD has also added support for ONNX Runtime. ONNX, short for Open Neural Network Exchange, serves as an intermediary framework for converting AI models between different ML frameworks. This integration enables users to perform inference on a wider range of source data on local AMD hardware. Additionally, AMD ROCm 6.0 introduces INT8 via MIGraphX, AMD’s graph inference engine, thereby expanding the available data types to include FP32, FP16, and INT8.

Continuing their commitment to supporting the PyTorch framework, AMD ROCm 6.0 brings mixed precision with FP32/FP16 to Machine Learning training workflows. This development opens up new possibilities for AI enthusiasts and professionals alike, as it allows for more efficient and accurate training processes.

These advancements mark an exciting time for individuals venturing into the field of AI. With ROCm for AMD Radeon desktop GPUs, AMD is providing a compelling solution for AI engineers, ML researchers, and enthusiasts, regardless of budget constraints. The company remains dedicated to expanding hardware support and adding more capabilities to its Machine Learning Development solution stack in the future.

David Diederichs, Product Marketing Manager, PRO Software at AMD, expressed his enthusiasm for these developments, highlighting the company’s commitment to empowering the AI community with accessible and powerful tools.

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AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

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Radeon: AMD Radeon, a product line by Advanced Micro Devices (AMD), consists of graphics processing units (GPUs) recognized for their strong performance in gaming, content creation, and professional applications. Powered by innovative technologies like the RDNA architecture, Radeon GPUs deliver efficient and powerful graphics processing. The brand also supports features like FreeSync, enhancing visual fluidity and reducing screen tearing during gaming. Moreover, AMD Radeon GPUs embrace real-time ray tracing for heightened realism in lighting and reflections. With a balance between price and performance, Radeon competes with NVIDIA's GeForce graphics cards and remains a popular choice for a wide range of users.