EPYC Processors

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EPYC Processors


Elevate your business productivity with AMD EPYC™ server processors. Read the latest blogs on how AMD EPYC™ is delivering exceptional performance and energy efficiency across various deployments and industries.


greggibby
Staff
Staff

The tech industry is in a perpetual struggle to achieve equilibrium between compute, storage and networking for maximum performance. For now, storage—or, more precisely, the location of large data sets—is the problem, and chiplets, pioneered by AMD, is one solution.

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greggibby
Staff
Staff

The new AMD EPYC 97X4 Processors, are the highest-performing members of the processor family formerly code-named “Bergamo”. These processors offer no-compromise performance, density, and energy efficiency for containers, cloud native computing, and modern applications.

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This week, we introduced two additional processor models to the 4th Gen AMD EPYC™ processor family at the Datacenter and AI Technology Premier. I am excited to take this opportunity to provide an update on the software ecosystem readiness and showcase some of the performance proof points for the AMD EPYC 97x4 processors.

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Sarina_Sit
Staff
Staff

The Tencent Accelerated Computing Optimizer (TACO) Kit integrates the ZenDNN AI inference library for improved inference performance on AMD EPYC CPU backends, enabling Tencent's end customers to evaluate and deploy optimal solutions for their diverse workloads, particularly in the face of growing hardware heterogeneity.

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Lynn_Comp
Staff
Staff

Microsoft Azure Confidential Computing Powered by 3rd Gen EPYC™ CPUs Deliver Advanced Data Protection With Minimal Workload Performance Impact

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Confidential Computing is revolutionary security technology for computing. It is a game-changing paradigm shift for computing in the public clouds. Confidential Computing addresses key security concerns many organizations have about migrating their sensitive applications to the cloud and safeguarding their most valuable information while in-use by their applications. The 2nd generation AMD EPYC™ processor helps make this possible by using hardware-based security features to isolate and help protect data-in-use, in real-time, through a breakthrough technology called Secure Encrypted Virtualization(SEV).

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To meet its customers’ computing needs, AMD and AWS have collaborated to create distinct types of cloud instances designed to meet specific application needs: AMD-powered Amazon Elastic Compute Cloud (EC2) instances are available in four categories: general-purpose (M5a & M5ad), general-purpose burstable (T3a), memory optimized (R5a & R5ad), and now compute-optimized (C5a & C5ad).

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Sean_Kerr
Staff
Staff

It is exciting to observe the rapid evolution of the cloud high-performance computing market and to think of what it can mean for customer innovation. Just a year ago, Microsoft Azure was the first to run a 10,000 core Simcenter STAR-CCM™+ job in the cloud with AMD EPYC processor-based HB-series VMs. This run proved the viability of large-scale cloud HPC while showcasing impressive performance that rivals on-premises HPC clusters. Azure customers shared resoundingly positive feedback about how this newfound scale helped them to accelerate research and be more productive.

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Today I am excited to let you know that the AMD EPYC Cloud footprint is increasing globally with Tencent Cloud announcing its 2nd Gen AMD EPYC processor-based “Star Lake” Server Platform at the Tencent Global Digital Ecosystem Conference.

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We at AMD are proud to be at the forefront of innovation through our collaboration with Microsoft Azure to offer our latest innovations to cloud-based enterprises with the general availability of the new Azure D-series and E-series virtual machines powered by AMD EPYC 7452 Processors. AMD and Microsoft Azure will continue our collaboration to provide guidance on optimization & migration to Azure virtual machines powered by AMD EPYC Processors. AMD and Microsoft are also expanding their partnership with Azure Data Explorer, a leading managed data analytics service for near real-time ingestion and ultra-fast queries.

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