Discover how upgrading to AMD EPYC processors can help resolve IT challenges, boost performance, reduce costs, and simplify migration in today's demanding data center landscape. In this blog, learn about the compelling TCO benefits, VMware collaboration, and innovative features they offer that address workload demands and efficiency goals, paving the way for a future-ready data center. Dive in to learn how transitioning to AMD EPYC can recoup expenses in as little as two months and transform your organization's IT infrastructure.

AMD EPYC Processors Scaling to New Heights at SC’24

Supercomputing 2024 has become a stage where technology leaders showcase innovations that push the boundaries of performance, efficiency, and scalability with announcements of the world’s largest superco

As the leader in silicon-to-systems design solutions, including electronic design automation (EDA) tools, an impressive portfolio of silicon-proven semiconductor intellectual property (IP), and pre-silicon hardware-assisted verification solutions, Synopsys is a key provider to drive semiconductor innovation.  Such contributions have broad impact to help the industry meet the unprecedented demands of high-performance computing, artificial intelligence (AI), and ever-upgrading devices and software.

In a recent AMD Tech Talk podcast hosted by AMD’s Jim Greene, Synopsys’ Senior Director of Product and Solutions Marketing, Todd Koelling, explained how Synopsys’ tools and expertise are enhanced with AI capabilities to empower semiconductor and systems companies to develop increasingly complex, yet energy-efficient AI processors, GPUs and accelerator chips. In this brief blog post, we’ll look at what Synopsys does and how AMD and Synopsys have collaborated in multiple areas to deliver state-of-the-art, high-complexity, energy-efficient chips.

Unlock the Full Potential of AI with a Robust Infrastructure: Meeting modern demands in the age of artificial intelligence requires a solid foundation and a tailored approach to infrastructure. In this blog post, we explore key insights from IDC's latest white paper and discuss strategies for building AI-ready infrastructure that accelerates innovation, optimizes performance, and helps ensure data security. Learn how to balance computing resources, adopt effective hybrid cloud strategies, and leverage AMD EPYC™ processors for high-performance, energy-efficient solutions. Embrace the future of AI with confidence – read the full article to discover the balanced approach that can transform your business.

Within the Financial Servies industry (FSI) is the field of quantitative finance and risk management. As these tend to be proprietary applications, with production workloads only known to the financial institutions and closely guarded, the challenge posed to AMD is how to identify appropriate benchmarks that accurately reflect what these expert users typically deploy in their data centers. While there are several FSI benchmarks available today, including STAC-A2, FinanceBench, and COREx, the focus of this blog is on QuantLib, a free, open-source library of tools for modeling, trading, and managing risk. In the QuantLib v1.35 release, AMD upstreamed adjustments to the benchmark to better achieve the following goals of an ideal quantitative benchmark.

5th Generation AMD EPYC processors are the latest addition to the powerful AMD EPYC family and the world’s leading CPU for AI. Visit AMD at SC24 to learn more and accelerate your path to AI leadership. 

In the financial services industry, enterprises that need to perform calculations for trading, market and credit risk, regulatory capital, limits, and initial margin can rely on the CompatibL Platform for their solution needs. As a leading Independent Software Vendor (ISV) in this space, CompatibL team lends their expertise to financial institutions and enables them to optimally execute their risk management applications, both on-prem and in the cloud. Part of that scoping effort from CompatibL includes the right sizing of hardware to ensure suitability for the specific needs of their customers. CompatibL evaluated CompatibL Platform on the latest AMD 4^th Gen EPYC-based instances available in the cloud, namely Amazon Web Services (AWS).

Choosing the right infrastructure when deploying AI for business use cases is key. As the complexity of AI workloads increases, enterprises need to make informed decisions about memory footprint and compute capabilities, especially when dealing with multimodal AI that requires multiple models working together.  I recently had the pleasure of talking with Steen Graham of Metrum Ai about solving real-world AI challenges and the future of enterprise AI for the AMD EPYC TechTalk podcast series, available here. You can also find highlights from the interview below.  

AMD has a comprehensive portfolio and approach to building efficient, secure, and future-ready data centers and is committed to open standards. AMD works across the entire server ecosystem to enable standards-based innovation. Our active involvement in Open Compute Project (OCP) and JDEC, along with new initiatives such as the Ultra Ethernet Consortium and Ultra Accelerator Link™ are just a few examples. These collaborations will help improve interoperability, simplify software development, and ensure long-term compatibility within the x86 ecosystem, making it easier for IT leaders to modernize their IT infrastructure in preparation for the age of AI.

The momentum surrounding the 5th generation of AMD EPYC™ processors has exceeded all expectations. My previous blog explored enterprise and cloud workloads. Now, as promised, I’m excited to follow up and explore how these processors are transforming HPC and AI. Let’s take a closer look at how 5th Gen AMD EPYC processors accelerate performance in these critical areas.