Doppelt so viele Cores, enorm viele PCIe-Gen4-Lanes, schnellere Speicherkanäle: Mit den Epyc 7002 alias Rome hat AMD extrem starke Server-CPUs vorgestellt. Die Chips passen zudem in bisherige Sockel und kosten bei doppelter Leistung nur halb so viel wie Intels Xeon Platinum 8200. Ein Bericht von Marc Sauter (Epyc, Prozessor)
Quelle: Golem
Android-Nutzer können schon eine Weile den neuen DB Navigator testen. Zusammen mit einer neuen Android-Testversion verteilt die Deutsche Bahn jetzt auch eine Betaversion für das Apple Betriebssystem iOS. Interessanterweise sehen wir bisher aber nur unter Android Neuerungen. (Deutsche Bahn, Android)
Quelle: Golem
Es gibt weitere Details zu Googles künftigem Oberklasse-Smartphone Pixel 4. Erneut sind zwei verschiedene Größen geplant und es gibt Details zur Dual-Kamera, die erstmals in Pixel-Smartphones zum Einsatz kommt. (Google Pixel, Smartphone)
Quelle: Golem
Die Ridesharing-Dienste wie Uber und Lyft werden gelegentlich als eine Lösung für den Verkehrsinfarkt der Städte bezeichnet. Das Gegenteil ist der Fall, wie eine Studie zeigt, die von den Unternehmen selbst beauftragt wurde. (Verkehr, Studie)
Quelle: Golem
Bose schafft mit seinen neuen Noise Cancelling Headphones 700 eine fast so gute Geräuschreduzierung wie Sony und ist in manchen Punkten sogar besser. Die Kopfhörer haben uns beim Testen aber auch mal genervt. Ein Test von Ingo Pakalski (Bose, Test)
Quelle: Golem
Apple und der Pharmakonzern Eli Lilly untersuchen, ob die Apple Watche frühe Anzeichen von Demenz erkennen könnte. Dann könnte die Smartwatch nicht nur EKGs anfertigen und den Puls messen, sondern weitere medizinische Tests vornehmen. (Smartwatch, Apple)
Quelle: Golem
Microsoft lässt Sprachbefehle für seinen digitalen Assistenten Cortana von Menschen auswerten. Auch Skype-Telefonate werden von Menschen analysiert – dabei können diese sogar Telefonsex lauschen. (Cortana, Google)
Quelle: Golem
Digital experience expectations in the financial services are now higher than ever before. Many organizations are improving the digital experience not only for their customers, but also for their employees and business partners. The key to exceptional digital experience is by driving innovation.
Singapore Exchange (SGX) has very robust trading and clearing engines that are at the heart of its business. While we use a traditional software development lifecycle methodology in implementing and enhancing our core engines, we adopt an agile strategy for applications and interfaces in order to enhance the digital experience for our customers.
This agile methodology gives our developers more control and accelerates time to market.
Selecting IBM for our on-premises cloud with microservices
After evaluating solutions from several vendors, we chose to work with IBM to help us create an on-premises cloud environment in conjunction with local business partner, Dimension Data.
Our assessment was that IBM Cloud Private offered better features, such as scanning security, auto-scaling and quick recovery. IBM is also a longtime partner of SGX, which provided assurance that we could embark on this digital transformation journey together.
IBM installed an IBM Cloud Private environment on site at SGX in just two days and then spent two weeks running an IBM Garage proof-of-concept (POC) microservices workshop for us. Our developers got first-hand experience in building, testing, deploying and managing applications in Kubernetes using a Continuous Integration/Continuous Delivery pipeline approach.
The POC also illustrated how IBM and Dimension Data would team up to provide augmented service for the solution, post implementation.
Enhancing agility and digital experience
IBM Cloud Private allows people to work quickly, and the infrastructure can scale up much faster than traditional infrastructure. Previously, we needed more people to set up the environment, servers and virtual machines. Now developers can spin up an environment by themselves to work with containerized applications and microservices. This new-found agility also meets our stringent security requirements.
IBM Cloud Private is the foundation that allows our developers, and the organization as a whole, to accelerate our development operations around our core trading engine.
Read the case study for more details.
The post Singapore Exchange improves development process with IBM Cloud Private appeared first on Cloud computing news.
Quelle: Thoughts on Cloud
Today we are pleased to announce that we are using AMD EPYC processors for our internal workloads and that they will soon be available to Google Cloud customers. AMD and Google have a long history of collaboration. Our “Millionth Server,” built in 2008, was based on an AMD chip, and we are proud to be the first to use the latest AMD platform in data centers that power our products.For Google Cloud customers, we believe in more choice and less complexity. To bring the benefits of our AMD collaboration to our customers, we will soon offer new virtual machines powered by 2nd Gen AMD EPYC processors. These will be the largest general-purpose VMs we’ve ever offered. More CPU options gives you greater flexibility to choose the best VM for your workload. Whether you’re running general-purpose workloads that require a balance of compute and memory, or big compute workloads driven by memory bandwidth, the new AMD VMs come in a wide range of sizes to meet your needs. Available with 2.25 Ghz base frequency, 2.7Ghz all-core-turbo frequency, and 3.3Ghz single-core turbo frequency, EPYC processors start at 2 vCPUs and scale up to over 200 vCPUs. They will support RAM-to-vCPU ratios from 1 to 8. You will also be able to configure them as custom machine types tailored to your specific workload.We believe that many general-purpose workloads, including back-office applications and web servers, will see price-performance improvements on the new AMD VMs compared to their current configurations. Big compute workloads driven by memory bandwidth such as financial simulations, reservoir analyses, and weather modeling, can take advantage of full-socket VM sizes that provide up to 60% better platform memory bandwidth than existing instances. The new AMD VMs will be available later this year.
Quelle: Google Cloud Platform
Microsoft is committed to giving our customers industry-leading performance for all their workloads. After being the first global cloud provider to announce the deployment of AMD EPYC™ based Azure Virtual Machines in 2017, we’ve been working together to continue bringing the latest innovation to enterprises.
Today, we are announcing our second-generation HB-series Azure Virtual Machines, HBv2, which features the latest AMD EPYC 7002 processor. Customers will be able to increase HPC performance and scalability to run materially larger workloads on Azure. We’ll also be bringing the AMD 7002 processors and Radeon Instinct GPUs to our family of cloud-based virtual desktops. Finally, our new Dav3 and Eav3-series Azure Virtual Machines, in preview today, provide more customer choice to meet a broad range of requirements for general purpose workloads using the new AMD EPYC™ 7452 processor.
Our growing Azure HPC offerings
Customers are choosing our Azure HPC offerings (HB-series) incorporating first generation AMD EPYC Naples for their performance and scalability. We’ve seen a 33 percent memory bandwidth advantage with EPYC, and that’s a key factor for many of our customers’ HPC workloads. For example, fluid dynamics is one workload in which this advantage is valuable. Azure has an increasing number of customers for whom this is a core part of their R&D and even production activities. On ANSYS Fluent, a widely used fluid dynamics application, we have measured EPYC-powered HB instances delivering a 54x performance improvement by scaling across nearly 6,000 processor cores. And this is 24 percent faster than a leading bare-metal solution with an identical InfiniBand network. Additionally, earlier this year, Azure became the first cloud to scale a tightly coupled HPC application to 10,000 cores. This is 10x higher than what had been previously possible on any other cloud provider. Azure customers will be among the first to take advantage of this capability to tackle the toughest challenges and innovate with purpose.
New HPC, general purpose, and memory optimized Azure Virtual Machines
Azure is continuing to increase its HPC capabilities, thanks in part to our collaboration with AMD. In preliminary benchmarking, HBv2 VMs featuring 120 CPUs from the second generation EPYC processor are demonstrating performance gains of over 100 percent on HPC workloads like fluid dynamics and automotive crash test analysis. HBv2 scalability limits are also increasing with the cloud’s first deployment of 200 Gigabit InfiniBand, thanks to the second generation EPYC processor’s PCIe 4.0 capability. HBv2 virtual machines (VMs) will support up to 36,000 cores for MPI workloads in a single virtual machine scale set, and up to 80,000 cores for our largest customers.
We’ll also be bringing AMD EPYC 7002 processor to our family of cloud-based remote desktops, pairing with the Radeon MI25 GPU for customers running Windows-based environments. The new series offers unprecedented GPU resourcing flexibility, giving customers more choice than ever before to size virtual machines all the way from 1/8th of a single GPU up to a whole GPU.
Finally, we are also announcing new Azure Virtual Machines as part of the Dv3 and Ev3-series—optimized for general purpose and memory intensive workloads. These new VM sizes feature AMD’s EPYC™ 7452 processor. The new general purpose Da_v3 and Das_v3 Azure Virtual Machines provide up to 64 vCPUs, 256 GiBs of RAM, and 1,600 GiBs of SSD-based temporary storage. Additionally, the new memory optimized Ea_v3 and Eas_v3 Azure Virtual Machines provide up to 64 vCPUs, 432 GiBs of RAM, and 1,600 GiBs of SSD-based temporary storage. Both VM series support Premium SSD disk storage. The new VMs are currently in preview in the East US Azure region and with availability coming soon to other regions.
Da_v3 and Das_v3 virtual machines can be used for a broad range of general-purpose applications. Example use cases include most enterprise-grade applications, relational databases, in-memory caching, and analytics. Applications that demand faster CPUs, better local disk performance or higher memories can also benefit from these new VMs. Additionally, the Ea_v3 and Eas_v3 VM series are optimized for other large in-memory business critical workloads.
Taking advantage of these new offerings
Request access to the latest HPC and Remote Desktop virtual machines.
Request access to the new general purpose and memory intensive Azure Virtual Machines.
Quelle: Azure
