#amd epyc

[govindhtech]

AMD EPYC Venice Is First 2nm HPC Chip On TSMC N2 Node

Venetian AMD EPYC

First 2nm HPC processor on TSMC's N2 node, AMD EPYC Venice boosts performance and energy efficiency.

EPYC CPU, codenamed “Venice,” is the first HPC product taped out and introduced using TSMC's breakthrough 2nm (N2) manufacturing technology. Cutting-edge process technology helps AMD and TSMC optimise new design architectures. Data centre CPU roadmap from AMD includes “Venice” next year. At TSMC's new Arizona fabrication plant, AMD presented and validated its 5th Gen AMD EPYC CPU products to highlight its U.S. manufacturing commitment.

For years, AMD has worked closely with TSMC's R&D and production teams to create cutting-edge high-performance computing devices, said AMD chair and CEO Lisa Su. “TSMC’s N2 process and Arizona Fab 21 show our collaboration to innovate and provide cutting-edge computing technology,” the statement says.

"We are pleased to have AMD as a leading HPC customer for our cutting-edge 2nm (N2) process technology and TSMC Arizona fab," stated TSMC Chairman and CEO Dr. C.C. Wei. Technology advances because of us. High-performance silicon yields, power efficiency, and performance will increase.They want to keep working with AMD to help the next computing era.

In summary

AMD's next-generation EPYC CPU, "Venice," is the first high-performance computing device to employ TSMC's 2nm (N2) technology. AMD-TSMC semiconductor manufacturing partnership advances AMD's data centre CPU plan, “Venice” due next year. AMD verified its 5th Gen EPYC CPUs at TSMC's new Arizona plant, demonstrating their US production commitment. Leadership from both companies was happy of the relationship and looked forward to more powerful and efficient computing. Magic eraserNoteaudioAudioMind map overview notecopy

FAQS

EPYC “Venice” CPU from AMD?

AMD's intended Zen 6-based sixth-generation EPYC server CPU is codenamed “Venice”. High-performance computing applications are the target of TSMC's first 2nm (N2) product.

What makes 2nm (N2) important?

With enhanced transistor density, power efficiency, and performance, 2nm revolutionises semiconductor manufacturing. AMD seeks more powerful and energy-efficient CPUs for data centres and business applications using this technology. The “Venice” processor launches when?

AMD predicts a 2026 EPYC “Venice” CPU. The business wants to make more efficient and powerful next-generation server CPUs.

“Venice”—made in the US?

AMD will manufacture fifth-generation EPYC CPUs at TSMC Arizona. AMD will build its products in the US for the first time as part of its semiconductor and supply chain diversification.

How will this milestone effect AMD's market share?

The first semiconductor business to employ TSMC's 2nm technology, AMD exhibits its ingenuity and leadership. Success should make AMD more competitive in data centres, boosting client performance and energy efficiency.

TSMC's 2nm wafers cost how much?

2nm TSMC wafers are expected to cost $25,000–$30,000. A significant increase over preceding nodes shows the complexity and progress of the 2nm process. ​

Is the 2nm wafer pricing comparable to previous nodes?

It costs 25% more to buy 2nm wafers than 3nm ones, which cost $19,865. In 2020, 5nm wafers cost $13,495; 2nm wafers cost nearly twice as much.

[heronetworkgg]

AMD lidera la transformación hacia centros de datos más sostenibles y eficientes

La creciente demanda de recursos de los centros de datos, impulsada por la revolución de la inteligencia artificial (IA), plantea desafíos significativos en términos de consumo energético y sostenibilidad. En respuesta a esta problemática, compañías como AMD están liderando la innovación con soluciones diseñadas para reducir el impacto ambiental y mejorar la eficiencia de los […]

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[arielmcorg]

#AMD y los nuevos procesadores Siena EPYC de 4ª Generación de la familia AMD EPYC

AMD anunció la disponibilidad de los nuevos Procesadores AMD EPYC™ Serie 8004, que completan la Familia de CPU AMD EPYC de 4ª Generación de procesadores optimizados para cargas de trabajo. Estos nuevos procesadores incorporan el núcleo “Zen 4c” en una CPU específica, lo que permite a los proveedores de hardware crear plataformas energéticamente eficientes y diferenciadas que pueden alimentar…

[infomen]

High-Performance 2U 4-Node Server – Hexadata HD-H252-Z10

The Hexadata HD-H252-Z10 Ver: Gen001 is a cutting-edge 2U high-density server featuring 4 rear-access nodes, each powered by AMD EPYC™ 7003 series processors. Designed for HPC, AI, and data analytics workloads, it offers 8-channel DDR4 memory across 32 DIMMs, 24 hot-swappable NVMe/SATA SSD bays, and 8 M.2 PCIe Gen3 x4 slots. With advanced features like OCP 3.0 readiness, Aspeed® AST2500 remote management, and 2000W 80 PLUS Platinum redundant PSU, this server ensures optimal performance and scalability for modern data centers. for more details, Visit- Hexadata Server Page

[servermo]

🚀 AMD Zen 5 & EPYC Turin: A New Era of Performance ⚡️

AMD is shaking up the tech world with its Zen 5 architecture! 💥 The new Ryzen 9000 series promises lightning-fast speeds ⚡️ and incredible energy efficiency 🔋 for gamers 🎮 and content creators 🎥. But the real star? The EPYC Turin processor 🖥️. With a staggering 192 cores 🧠 and 384 threads 🧵, these chips are a game-changer, delivering AI performance up to 5.4x faster than Intel’s best! 🤖✨

Whether you're into gaming, content creation, or running a data center, Zen 5 is built to elevate your performance 🚀 while cutting down on energy use 💡. Get ready for a whole new level of multitasking, speed, and AI magic! 🌟

[supermicrosunucucom]

Supermicro sunucuları almak için mükemmel bir fırsat kaçırmamalısınız. Bu sunucular, yüksek performansı ve güvenilirliği uygun fiyatlarla buluşturuyor. Supermicro'un kalitesi ve dayanıklılığıyla dikkat çeken sunucuları, sizin işletmeniz için ideal çözümler sunuyor. Bu fırsatı kaçırmamak, geleceğe daha güçlü adımlarla ilerlemenize yardımcı olacaktır.

[danhgiahost]

Hetzner ra mắt máy chủ AX162: Hiệu suất mạnh mẽ cho ảo hóa và các ứng dụng đòi hỏi cao

Hetzner vừa ra mắt sản phẩm Máy Chủ Dành Riêng (Dedicated Server) AX162 hoàn toàn mới, dựa trên nền tảng AMD EPYC™ Genoa 9454P! Đây chính là lựa chọn hoàn hảo cho các dự án liên quan đến ảo hóa (virtualization) và đòi hỏi hiệu suất cao. Tính năng nổi bật: Bộ vi xử lý AMD EPYC™ Genoa 9454P: 48 nhân / 96 luồng Hiệu suất gấp đôi thế hệ trước Công nghệ đa luồng đồng thời (SMT) Kiến trúc nhân Zen…

[univoldsblog]

DL385 GEN10 7301 AMD KIT PL CODE SY

HPE AMD EPYC 7000 7301 Hexadeca-core (16 Core) 2.20 GHz Processor Upgrade – 64 MB L3 Cache – 64-bit Processing – 2.70 GHz Overclocking Speed – Socket SP3 – 170 W

[phonemantra-blog]

Significant changes in the top five The list of the most productive supercomputers Top500 has been updated once again. Let us remind you that this happens once every six months.  [caption id="attachment_81909" align="aligncenter" width="740"] AMD[/caption] While several supercomputers with performance of about 2 exaFLOPS or higher are on the way, the leader is still the Frontier system, which was the first to overcome the 1 exaFLOPS mark and remains the only one of its kind, far ahead of its closest competitor.   The Frontier supercomputer based on AMD components remains the most powerful in the world. [caption id="attachment_81910" align="aligncenter" width="714"] AMD[/caption] This competitor, by the way, has changed. If six months ago the Supercomputer Fugaku system with a performance of 442 PFLOPS was in second place, now it is Aurora with a performance of 585 PFLOPS. But it is worth saying that now this is only part of the system that has already been put into operation. As a result, Aurora will have performance in excess of 2 exaFLOPS. This system is built on Intel Xeon CPU Max 9470 processors and Intel Data Center Max accelerators. Frontier, remember, relies on AMD components.  In third place is also a newcomer: the Eagle system, owned by Microsoft, with a performance of 561 PFLOPS. But Supercomputer Fugaku dropped to fourth place. 

[govindhtech]

5th Gen AMD EPYC and H4D Virtual Machines For Cloud HPC

Next-generation HPC-optimized H4D VMs

At Google Cloud Next, Google Cloud introduced H4D virtual machines (VMs), their latest HPC machine type. Based on HPC capabilities, H4D virtual machines (VMs) fulfil the evolving needs of demanding workloads in manufacturing, weather forecasting, EDA, healthcare, and life sciences.

H4D virtual machines run on 5th generation AMD EPYC Processors with over 950 GB/s memory bandwidth and 12,000 gflops whole-node virtual machine performance. Cloud Remote Direct Memory Access (RDMA) on Titanium gives H4D, the first CPU-based virtual machine, minimal latency and 200 Gbps network bandwidth. With this powerful mix, you can quickly get insights and develop HPC workloads.

H4D outperforms C3D by 1.8x per virtual machine (VM) and 1.6x per core for the open-source High-Performance Linpack (OSS-HPL), a benchmark for supercomputer floating-point computation. H4D outperforms C2D by 1.7x per core and 5.8x per virtual machine.

H4D outperforms C3D by 1.4x per core and 1.3x per VM on STREAM Triad, a memory bandwidth benchmark. H4D outperforms C2D by 1.4x per core and 3x per virtual machine.

Increased HPC application performance

H4D virtual machines (VMs) outperform AMD-based C2D and C3D in compute performance and memory bandwidth. This speeds up simulations and analysis and improves performance across a variety of HPC applications and benchmarks compared to C2D, a prior generation AMD-based HPC VM:

Manufacturing

Siemens Simcenter STAR-CCM+/HIMach and other CFD packages enhance 3.6x.

Ansys Fluent/f1_racecar_140 and other CFD applications enhance 3.6x.

FEA-explicit programs like Altair Radioss/T10m improve up to 3.6x.

CFD applications like OpenFoam/Motorbike_20m increase by 2.9x.

Ansys Mechanical/gearbox and other implicit FEA programs improve 2.7x.

Healthcare and life sciences:

Molecular Dynamics (GROMACS) increases five-fold.

Weather forecasting

WRFv4, an industry benchmark, improves 3.6x.

AMD's tight relationship with Google Cloud drives the next generation of cloud-based HPC with the new H4D VMs. The 5th Gen AMD EPYC CPUs' architectural advances allow Google Cloud to enhance HPC benchmark performance by a significant amount. Customers may speed up their hardest HPC jobs and get immediate insights. Corporate vice president of AMD's Cloud Business Ram Peddibhotla

Titanium Cloud RDMA accelerates HPC

These virtual machines' first Titanium offload, Cloud RDMA, boosts H4D performance. Cloud RDMA is dedicated to HPC applications including molecular dynamics, weather modelling, computational fluid dynamics, and others that require inter-node communication. Cloud RDMA outsources network processing and provides consistent, low-latency, high-bandwidth connections between compute nodes, reducing host CPU constraints.

Cloud RDMA uses Falcon hardware transport to deliver reliable, low-latency communication over Google Cloud Ethernet-based data centre networks. This effectively solves RDMA over Ethernet difficulties and provides reliable, high-performance at scale.

Since Cloud RDMA employs more computing resources than Falcon, simulations are faster. H4D gives 3.4x and 1.9x speedups on four virtual machines (VMs) via TCP for smaller CFD issues like OpenFoam/motorbike 20m and Simcenter Star-CCM+/HIMach10, which have limited inherent parallelism and are hard to accelerate.

Scheduling and clustering

Cluster Director (formerly Hypercompute Cluster) and DWS will be supported by H4D virtual machines.

DWS helps schedule HPC workloads for optimal performance and cost-effectiveness and ensures resource availability for time-sensitive simulations and flexible HPC applications.

Cluster Director can now build and scale a large, physically-colocated accelerator cluster as a single unit in HPC settings. Cluster Director simplifies HPC cluster creation and management utilising H4D virtual machines by allowing researchers to run large-scale simulations.

Virtual machine sizes and regional availability

Google Cloud offers ordinary and high-memory H4D virtual machines for various workloads. The CPU-based seismic processing and structural mechanics applications Abaqus, NASTRAN, Altair OptiStruct, and Ansys Mechanical require high-speed storage. Google Cloud offers local SSD options.

Plans are underway to expand H4D virtual machines outside Europe-West4-b (Netherlands) and the US-Central1-a (Iowa).

[supermicrosunucu]

AMD EPYC Sunucu

AMD EPYC sunucu, yüksek performansı ve gelişmiş işlem yetenekleriyle öne çıkar. AMD'nin Zen mimarisi tabanlı bu sunucu işlemcileri, birden çok işlemci yuvasıyla ve çok çekirdekli yapılarıyla dikkat çeker. Bu sunucular, geniş bellek kapasitesi ve PCIe 4.0 desteği sayesinde veri yoğun iş yüklerini hızlı bir şekilde işleyebilir. Ayrıca, enerji verimliliğiyle de öne çıkan AMD EPYC sunucu, veri merkezlerinde maliyet tasarrufu sağlar.

[heronetworkgg]

AMD lanza los potentes procesadores EPYC 8004 para impulsar la era de la nube y el borde inteligente

AMD ha marcado un hito importante con el lanzamiento de su nueva serie de procesadores EPYC 8004, diseñados específicamente para impulsar servicios en la nube, edge computing y telecomunicaciones. Estos procesadores destacan por su eficiencia energética excepcional y un rendimiento formidable, todo en un paquete optimizado de un solo socket. Estos procesadores, que incorporan la […]

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[darkmaga-returns]

Shifting AMD's server-grade processor line to TSMC's Arizona facility marks the first time the U.S. company will produce these chips domestically, eliminating the supply chain risks associated with manufacturing at TSMC's Taiwan-based fabs. 

"We want to have a very resilient supply chain, so Taiwan continues to be a very important part of that supply chain, but the United States is also going to be important and we're expanding our work there, including our work with TSMC and other key supply chain partners," Su said. 

News that AMD's fifth-generation EPYC will be produced in America comes one day after Nvidia unveiled new initiatives aimed at strengthening America's chip manufacturing sector:

Nvidia is localizing AI chip and supercomputer manufacturing in the U.S. for the first time, partnering with TSMC, Foxconn, Wistron, Amkor, and SPIL.

Over 1 million square feet of manufacturing space has been commissioned for Blackwell chips and AI supercomputers in Arizona and Texas.

Mass production of these chips is expected within 12–15 months.

Total AI infrastructure by Nvidia could total $500 billion over the next four years.

Restoring U.S. chipmaking capacity is critical for several reasons, but national security stands above all. China can easily disrupt chip supply chains in Taiwan—something that could send shockwaves around the world, impacting U.S. defense production of missiles, tanks, and other critical systems, many of which rely on chips fabricated overseas. 

If the U.S. intends to compete—and win—in the 2030s, the ongoing expansion of domestic chip manufacturing is not just welcome news; it's essential for survival.

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