AMD EPYC™ Server Virtualization TCO Estimation Tool See the potential value AMD EPYC™ CPUs may deliver for your datacenter. Input your VM requirements and environment factors like power, real estate cost, select your virtualization license, and more. Compare your current x86 based server solution to a solution powered by AMD EPYC™ processors.
AMD EPYC™ Bare Metal TCO Estimation Tool Discover the potential value that AMD EPYC™ CPUs can deliver for your bare metal server environment. Compare by server count, performance, or total budget. Then select your filter, your processor comparisons, and system memory requirements. Choose 3, 4, or 5 year time frames for your AMD EPYC™ Bare Metal TCO estimation.
AMD Cloud Cost Advisor Discover the potential value AMD EPYC™ CPUs bring to the cloud with the latest cost analysis tool. AMD Cloud Cost Advisor helps with real-time insights into estimated cost savings when switching to cloud instances powered by AMD within the same cloud service provider.
IBM claims that the 2nm chip could achieve 45 percent higher performance, or 75 percent lower energy use, than “today’s most advanced 7nm node chips.”
Darío Gil, SVP and director of IBM Research.
A single human hair spans a whopping 50,000-75,000 nanometers. A human red blood cell is 6,000-8,000nm. Covid-19 is 50-140nm…….. To build nodes 3nm and below requires extremely expensive and sensitive equipment, and a rethink on how nodes are laid out – hence the different metrics now used to measure smaller nodes.
GPU computing is a widely adopted technology that uses the power of GPUs to accelerate computationally intensive workflows. Since 2010, Parallel Computing Toolbox has provided GPU Computing support for MATLAB.
3rd Gen AMD EPYC™ processors raise the bar once more for workload performance, with up to 19% more instructions per clock (IPC)1. No matter the job, you can drive faster time to results, provide more and better data for decisions, and achieve better business outcomes. With our leadership approach, the world’s highest performance server CPU, AMD EPYC 7763,2 and AMD Infinity Architecture deliver innovation —up to 32MB of L3 cache per core, synchronized fabric and memory clock speeds designed for improved performance, plus hardware and virtual security features to help safeguard your business—right out of the box
Join CEO Dr. Lisa Su, CTO Mark Papermaster, Senior VP and GM of Datacenter and Embedded Solutions Business Group, Forrest Norrod, Senior VP and GM of Server Business Unit, Dan McNamara, and appearances by industry-leading data center strategic partners and customers in this digital launch of the 3rd Gen AMD EPYC™ Processors.
00:00 – Intro 01:00 – Introducing 3rd Gen AMD EPYC 07:48 – “Zen 3” Architecture for Data Center 15:24 – 3rd Gen AMD EPYC Portfolio & Performance: 20:44 – HPC Performance Leadership & Exascale Computing 25:44 – Powering the Most Important Cloud Services 35:54 – Accelerating Enterprise Workloads 40:42 – AMD EPYC Solution Ecosystem 49:22 – Conclusion
Modern workloads are diverse—and so are architectures. No single architecture is best for every workload. Maximizing performance takes a mix of scalar, vector, matrix, and spatial architectures deployed in CPU, GPU, FPGA, and other future accelerators. Heterogeneity adds complexity that can be difficult to debug. This article introduces the new features of Intel® Inspector that support the analysis of code that’s offloaded to accelerators.
The next generation national supercomputer for Singapore will be a green, warm water-cooled system – one of the first known deployments of such a system in a tropical environment. When operational the supercomputer is expected to provide an aggregate of up to 10 PFLOPS of raw compute power and is eight times more powerful than the current ASPIRE1 supercomputer. ASPIRE1, which was commissioned in 2016, has been running at near full capacity in support of local advanced research that requires high-end computing resources. The new system is the first in a series of supercomputers that will be deployed in phases from now till 2025 to expand and upgrade Singapore’s high-performance computing (HPC) capabilities for the research community here.