Instinct Accelerators

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Instinct Accelerators


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.


In the dynamic landscape of technology, particularly in the realm of advanced computing and GPU-accelerated computing, staying updated with the latest developments is paramount. AMD has been consistently pushing boundaries with its AMD ROCm™ Software stack, catering to the diverse needs of developers and researchers in harnessing the power of GPUs for computation-intensive AI and HPC applications.

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Ian_Ferreira
Staff
Staff

We are at a stage in our product ramp where we are consistently identifying new paths to unlock performance with our ROCM software and AMD Instinct MI300 accelerators. We have made a lot of progress since we recorded data in November that we used at our launch event and are delighted to share our latest results highlighting these gains.

These gains show that AMD Instinct MI300X with ROCm 6 continues to show leadership inference performance using the popular FP16 datatype and vLLM inference library compared to Nvidia H100 using TensorRT-LLM and FP16 or FP8 datatypes.

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Most Machine Learning (ML) engineers use single precision (FP32) datatype for developing ML models. TensorFloat32 (TF32) has recently become popular as a drop-in replacement for these FP32 based models. However, there is a pressing need to provide additional performance gains for these models by using faster datatypes (such as BFloat16 (BF16)) without requiring additional code changes.

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guy_ludden
Staff
Staff

Learn how AMD is working with Devito using high performance computing to help break down barriers to accurately model and predict the location of valuable resources in the oil and gas industry. 

 

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AMD's open-source HIP API helps developers of GPU-accelerated applications like renderers and simulation tools write code that runs on AMD and NVIDIA hardware. Now the new HIP SDK makes it possible for anyone to use it.

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Accelerated Computing with HIP - Textbook

This book aims to provide helpful guidance to GPU programmers looking to develop HIP programs for the ROCm platform using GPUs. The reader of this book will learn how to reason through real-world problems and break them down into independent parts so tha

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