From high-performance computing, deep-learning, and rendering systems, to cloud computing, training complex neural networks, and AMD’s ROCm open ecosystem these blogs offer more insights and updates into our products and solutions.
Learn how scientists at the University of Delaware and at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in Germany are pushing the boundaries of PIConGPU simulations with AMD Instinct™ accelerators and ROCm™.
Learn more about optimizing performance on heterogeneous accelerated systems built on AMD Instinct™ GPUs through techniques for profiling GPU applications using relevant libraries and tools.
AMD continues to collaborate with the PyTorch Foundation to bring the power of PyTorch to AMD Instinct™ GPUs and accelerators. Learn how this partnership is enabling developers to harness the full potential of PyTorch 2.0 on AMD's high-performance platforms for AI.
Last year, Meta announced that PyTorch joined the Linux Foundation as a neutral home for growing the machine learning project and community with AMD representation as a part of the founding membership and governing board.
Introducing AMD Lab Notes - a new blog series sharing lessons learned from the tuning of applications, libraries, and frameworks for AMD Instinct accelerators and working with the ROCm open software platform.