AMD invests significant financial resources to provide on-premises and multi-cloud EDA compute infrastructure for its engineers. At AMD IT, we continuously optimize our cloud/data center components. We have traditionally used machine learning (ML) and business intelligence (BI) tools to predict low-level capacity metrics and drive efficiencies. In this article, we will highlight the challenges in managing EDA compute forecast, our approach to the problem, and how we integrate ML/Generative AI in the compute investment optimization process in IT.

AMD is advancing AI with an open ecosystem through its open-source software ROCm^TM, which is designed for GPUs, with a collection of drivers, software tools, libraries and APIs that enable GPU programming with ease.

On this date in 1969, 55 years ago, AMD was founded by Jerry Sanders and seven other co-founders. We used Adobe Photoshop Neural Filters and AI enhancement tools like Topaz Photo AI to restore and colorize some old historical photographs we had in our archives. All restoration work was done on a single AMD Ryzen AI-based laptop.  

AMD Ryzen™ AI   processors and software bring the power of personal computing closer to you on an AI PC, unlocking a whole new level of efficiencies for work, collaboration, and innovation.

Our AI strategy at AMD is focused on enabling the ecosystem with a broad portfolio of training and inference compute engines, open and proven software capabilities, and nurturing the AI ecosystem through co-innovation. We continue to be focused on enabling the next generation of AI models for everyone and make the benefits of AI pervasive.  

Large Language Models (LLMs) are for everyone – not just those who know how to write and run code. Today, we are going to go over some x86 platform choices for AMD Ryzen™ AI versus our competitor and look at how the performance fares between the two in real-world workloads.

AMD is empowering a new era in media and entertainment with our latest professional graphics cards. AMD Radeon™ PRO is the ideal solution to accelerate your productivity and creativity.  

The recent rise of artificial intelligence (AI) and AI PCs has driven a tremendous amount of market buzz and raised a host of questions. Everyone from individual end-users to major corporate buyers are asking what an AI PC is, what hardware is required to take advantage of AI, which applications leverage it, and whether it is better to deploy such services locally, via the cloud, or in a hybrid environment that blends aspects of both.

This confusion is normal. AI represents a new frontier for computing, so let's tackle some of these questions. 

Did you know that you can run your very own instance of a GPT based LLM-powered AI chatbot on your RyzenTM  AI PC or RadeonTM 7000 series graphics card ? AI assistants are quickly becoming essential resources to help increase productivity, efficiency or even brainstorm for ideas. Unlike cloud based LLMs, your local AI chat bot works without an internet connection and keeps your conversations on your machine.

GPT based Large Language Models (LLMS) can be helpful AI assistants that maximize your productivity and increase the efficiency of your workflow. Running an AI chatbot on your AMD Ryzen AI powered AI PC is easier than ever but did you know that you could customize it all for yourself?