Is SMT still relevant on CPUs in 2025? Learn about how SMT works and why it is a major contributor to performance and energy efficiency on AMD EPYC server CPUs.

With increased core counts, memory capacity and I/O expandability, many IT leaders are looking to modernize their IT infrastructure with single socket (1P) server solutions. 1P servers can provide cost-effective, performant, and energy efficient solutions for most workloads. So, how do you know if 1P solutions are right for you? This blog takes a look at things to consider and which workloads are best suited for 1P and 2P platforms.

Granite Rapids In an ever-evolving technology landscape, enterprise IT managers must consider many factors when selecting hardware, including performance vs. power efficiency, security and compliance, scalability and future proofing, cloud vs. on-prem, total cost of ownership (TCO), and more. Choosing the right processor is crucial to optimizing performance, efficiency, and cost—for any deployment model. One feature that can help boost performance and efficiency, offered across nearly all AMD EPYC™ processors, is simultaneous multithreading (SMT), which allows a single physical CPU core to execute multiple threads simultaneously.

IT leaders are under pressure to manage shrinking budgets, optimize compute-intensive AI workloads, and implement viable sustainability strategies.  These competing imperatives are not easily rationalized!  Together AMD and Nutanix can help your IT department overcome these and other challenges.  This blog post briefly illustrates how Nutanix Hyperconverged infrastructure (HCI) and virtualization software running on AMD EPYC™ processors will help you lower software licensing costs, optimize workload performance and reduce your carbon footprint. 

Earlier in November AMD showcased its ongoing high-performance computing (HPC) leadership at Supercomputing 2024 by powering the world’s fastest supercomputer for the sixth straight Top500 list. (source) With over 500 performance world records and 200+ world records in HPC technical apps as of October 10, 2024, including modeling and simulation, intensive computation, floating point performance & HPC energy efficiency, AMD EPYC™ CPUs are well-established as a leader in enabling HPC performance. This blog details performance comparisons and results, including TFLOPS performance calculation.

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.