In the rapidly evolving AI landscape, GPUs have become indispensable, driving advancements from deep learning to complex data analytics. The latest AMD Instinct™ accelerators are purpose-built for exceptional performance and efficiency, delivering leadership capabilities across foundation model training, fine-tuning, and inference. However, AI is not a one-size-fits-all challenge—nor is enterprise IT infrastructure.

While GPUs remain essential for large-scale generative AI, 5^th Gen AMD EPYC™ CPUs are the world’s best CPU for enterprise AI[i] that provide a scalable, cost-effective path for AI-enhanced applications and host node performance. With high-frequency processing, leadership memory capacity, and seamless x86 compatibility, AMD delivers an evolutionary path to AI acceleration, enabling organizations to integrate, scale, and modernize their infrastructure at their own pace—with little disruption.

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.

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.

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.

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.  

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.

I'm thrilled to talk about an important addition to the AMD EPYC server processor family: 4th Gen AMD EPYC™ 4004 Series Processors. Large enterprises, demanding data centers, supercomputers, and hyperscalers have come to rely on the robust performance and scalability of AMD EPYC 7000, 8000, and 9000 Series Processors. By contrast, AMD EPYC 4004 Series Processors targets dedicated hosting providers and small businesses seeking cost-effective solutions for entry-level server workloads. These processors feature low core counts, Thermal Design Power (TDP) as low as 65 watts, and competitive pricing while maintaining the performance, scalability, and reliability expected from the AMD EPYC product line. This blog delves into some of the workloads for this market segment and the performance benefits offered by AMD EPYC 4004 processors.

AMD EPYC 4000 and AMD Alveo Ethernet adapters: An ideal combination for High Frequency Trading