Must Be Active Exclusively To Create Snapshot Script' title='Must Be Active Exclusively To Create Snapshot Script' />Amazon EC2 FAQs Amazon Web Services. Q What are Accelerated Computing instances Accelerated Computing instance family is a family of instances which use hardware accelerators, or co processors, to perform some functions, such as floating point number calculation and graphics processing, more efficiently than is possible in software running on CPUs. Amazon EC2 provides three types of Accelerated Computing instances  GPU compute instances for general purpose computing, GPU graphics instances for graphics intensive applications, and FPGA programmable hardware compute instances for advanced scientific workloads. Q. When should I use GPU Graphics and Compute instancesGPU instances work best for applications with massive parallelism such as workloads using thousands of threads. Graphics processing is an example with huge computational requirements, where each of the tasks is relatively small, the set of operations performed form a pipeline, and the throughput of this pipeline is more important than the latency of the individual operations. To be able build applications that exploit this level of parallelism, one needs GPU device specific knowledge by understanding how to program against various graphics APIs Direct. X, Open. GL or GPU compute programming models CUDA, Open. CL. Q How are P3 instances different from G3 instances P3 instances are the next generation of EC2 general purpose GPU computing instances, powered by up to 8 of the latest generation NVIDIA Tesla V1. GPUs. These new instances significantly improve performance and scalability, and add many new features, including new Streaming Multiprocessor SM architecture for machine learning MLdeep learning DL performance optimization, second generation NVIDIA NVLink high speed GPU interconnect, and highly tuned HBM2 memory for higher efficiency. G3 instances use NVIDIA Tesla M6. GPUs and provide a high performance platform for graphics applications using Direct. X or Open. GL. NVIDIA Tesla M6. GPUs support NVIDIA GRID Virtual Workstation features, and H. HEVC hardware encoding. Each M6. 0 GPU in G3 instances supports 4 monitors with resolutions up to 4. NVIDIA GRID Virtual Workstation for one Concurrent Connected User. Example applications of G3 instances include 3. D visualizations, graphics intensive remote workstation, 3. D rendering, application streaming, video encoding, and other server side graphics workloads. Q What are the benefits of NVIDIA Volta GV1. GPUs The new NVIDIA Tesla V1. Volta GV1. 00 GPU. GV1. 00 not only builds upon the advances of its predecessor, the Pascal GP1. GPU, it significantly improves performance and scalability, and adds many new features that improve programmability. These advances will supercharge HPC, data center, supercomputer, and deep learning systems and applications. Q Who will benefit from P3 instancesP3 instances with their high computational performance will benefit users in artificial intelligence AI, machine learning ML, deep learning DL and high performance computing HPC applications. Users includes data scientists, data architects, data analysts, scientific researchers, ML engineers, IT managers and software developers. Key industries include transportation, energyoil gas, financial services banking, insurance, healthcare, pharmaceutical, sciences, IT, retail, manufacturing, high tech, transportation, government, academia, among many others. Q What are some key use cases of P3 instancesP3 instance use GPUs to accelerate numerous deep learning systems and applications including autonomous vehicle platforms, speech, image, and text recognition systems, intelligent video analytics, molecular simulations, drug discovery, disease diagnosis, weather forecasting, big data analytics, financial modeling, robotics, factory automation, real time language translation, online search optimizations, and personalized user recommendations, to name just a few. Q Why should customers use GPU powered Amazon P3 instances for AIML and HPC GPU based compute instances provide greater throughput and performance because they are designed for massively parallel processing using thousands of specialized cores per GPU, versus CPUs offering sequential processing with a few cores. In addition, developers have built hundreds of GPU optimized scientific HPC applications such as quantum chemistry, molecular dynamics, meteorology, among many others. Research indicates that over 7. HPC applications provide built in support for GPUs. Q Will P3 instances support EC2 Classic networking and Amazon VPCP3 instances will support VPC only. Q. How are G3 instances different from P2 instances G3 instances use NVIDIA Tesla M6. GPUs and provide a high performance platform for graphics applications using Direct. X or Open. GL. NVIDIA Tesla M6. Must Be Active Exclusively To Create Snapshot Script' title='Must Be Active Exclusively To Create Snapshot Script' />Whenever you need to connect to a database, you create a Connection object using the ADONewConnectiondriver function. NewADOConnectiondriver is an alternative. This reference guide is a work in progress. The source for this guide can be found in the srcmainasciidoc directory of the HBase source. This reference guide is. Former Valve writer Marc Laidlaw has posted a fictional letter on his site that sure reads like a possible plot summary for HalfLife 2 Episode 3. Learn more about Amazon EC2 frequently asked questions. GPUs support NVIDIA GRID Virtual Workstation features, and H. HEVC hardware encoding. Each M6. 0 GPU in G3 instances supports 4 monitors with resolutions up to 4. NVIDIA GRID Virtual Workstation for one Concurrent Connected User. Example applications of G3 instances include 3. D visualizations, graphics intensive remote workstation, 3. D rendering, application streaming, video encoding, and other server side graphics workloads. P2 instances use NVIDIA Tesla K8. GPUs and are designed for general purpose GPU computing using the CUDA or Open. PNG?size=bestfit&width=585&height=262&revision=1' alt='Must Be Active Exclusively To Create Snapshot Script' title='Must Be Active Exclusively To Create Snapshot Script' />CL programming models. P2 instances provide customers with high bandwidth 2. Quicktime Reference Adobe Media Encoder Mkv. Gbps networking, powerful single and double precision floating point capabilities, and error correcting code ECC memory, making them ideal for deep learning, high performance databases, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, rendering, and other server side GPU compute workloads. Q How are P3 instances different from G2 instances P3 Instances are the next generation of EC2 general purpose GPU computing instances, powered by up to 8 of the latest generation NVIDIA Volta GV1. GPUs. These new instances significantly improve performance and scalability and add many new features, including new Streaming Multiprocessor SM architecture, optimized for machine learning MLdeep learning DL performance, second generation NVIDIA NVLink high speed GPU interconnect, and highly tuned HBM2 memory for higher efficiency. P2 instances use NVIDIA Tesla K8. GPUs and are designed for general purpose GPU computing using the CUDA or Open. CL programming models. P2 instances provide customers with high bandwidth 2. Gbps networking, powerful single and double precision floating point capabilities, and error correcting code ECC memory. Q. What APIs and programming models are supported by GPU Graphics and Compute instances P3 instances support CUDA 9 and Open. CL, P2 instances support CUDA 8 and Open. CL 1. 2 and G3 instances support Direct. X 1. 2, Open. GL 4. CUDA 8, and Open. CL 1. 2. Q. Where do I get NVIDIA drivers for P3 and G3 instances There are two methods by which NVIDIA drivers may be obtained. There are listings on the AWS Marketplace which offer Amazon Linux AMIs and Windows Server AMIs with the NVIDIA drivers pre installed. You may also launch 6. HVM AMIs and install the drivers yourself. You must visit the NVIDIA driver website and search for the NVIDIA Tesla V1. P3, NVIDIA Tesla K8. P2, and NVIDIA Tesla M6. G3 instances. Q. Which AMIs can I use with P3, P2 and G3 instances You can currently use Windows Server, SUSE Enterprise Linux, Ubuntu, and Amazon Linux AMIs on P2 and G3 instances. Flex. Pod Express with Cisco UCS Mini and Citrix Xen. Desktop 7. 6 with Cisco Nexus 9. Series, and VMware v. Sphere 5. 5 Update 2. The data center market segment is shifting toward heavily virtualized private, hybrid, and public cloud computing models running on industry standard systems. These environments require uniform design points that can be repeated for ease of management and scalability. These factors have led to the need for predesigned computing, networking, and storage building blocks optimized to lower the initial design cost, simplify management, and enable horizontal scalability and high levels of utilization. Use cases include          Enterprise Data Center small failure domains          Service Provider Data Center small failure domainsThe Flex. Pod Data Center solution combines Net. App storage systems, Cisco Unified Computing System servers, and Cisco Nexus fabric into a single, flexible architecture. Flex. Pod Data Center can scale up for greater performance and capacity or scale out for environments that need consistent, multiple deployments Flex. Pod also has the flexibility to be sized and optimized to accommodate different use cases including app workloads such as MS SQL Server, Exchange 2. MS Share. Point 2. SAP, Red Hat, VDI VMware ViewCitrix Xen. Desktop, or Secure Multi tenancy SMT environments. Flex. Pod Data Center delivers          Faster Infrastructure, Workload and Application provisioning          Improved IT Staff Productivity          Reduced Downtime          Reduce Cost of Data Center Facilities, Power, and Cooling          Improved Utilization of Compute Resources          Improved Utilization of Storage Resources. The Flex. Pod Data Center with Cisco UCS Mini allows IT departments to address Data Center infrastructure challenges using a streamlined architecture following compute, network and storage best practices. For more design and use case details, refer to the Flex. Pod with UCS Mini Design Guide http www. UCSCVDsflexpoducsminidesign. This document describes the architecture and deployment procedures of an infrastructure comprised of Cisco, Net. App, VMware hypervisor and Citrix desktopapp virtualization products. The intended audience of this document includes, but is not limited to, sales engineers, field consultants, professional services, IT managers, partner engineering, and customers deploy the core Flex. Pod architecture with Net. App clustered Data ONTAP running Citrix Xen. AppXen. Desktop workloads. This solution is Ciscos Desktop Virtualization Converged Design with Flex. Pod providing our customers with a turnkey physical and virtual infrastructure specifically designed to support up to 7. This architecture is well suited for midsize deployments and enterprise edge environments of virtual desktop infrastructure. The combination of technologies from Cisco Systems, Inc., Citrix Systems, Inc., Net. App, and VMware Inc. Key components of the solution include the following          More power, same size. Cisco UCS B2. 00 M4 half width blade with dual 1. GHz Intel Xeon E5 2. GB of memory for Citrix Xen. App and Xen. Desktop hosts supports more virtual desktop workloads than the previously released generation processors on the same hardware. The Intel Xeon E5 2. Fault tolerance with high availability built into the design. The various designs are based on using one Unified Computing System chassis with multiple Cisco UCS B2. M4 blades for virtualized desktop and infrastructure workloads. The design provides N1 server fault tolerance for hosted virtual desktops, hosted shared desktops and infrastructure services. Stress tested to the limits during aggressive boot scenario. The 7. 00 user mixed hosted virtual desktop and hosted shared desktop environment booted and registered with the Xen. Desktop 7. 6 Delivery Controllers in under 1. Stress tested to the limits during simulated login storms. All 7. 00 simulated users logged in and started running workloads up to steady state in 4. Ultra condensed computing for the datacenter. The rack space required to support the system is less than a single rack, 1. Pure Virtualization This CVD presents a validated design that is 1. VMware ESXi 5. 5. All of the virtual desktops, user data, profiles, and supporting infrastructure components, including Active Directory, Provisioning Servers, SQL Servers, Xen. Desktop Delivery Controllers, and Xen. Desktop RDS Xen. App servers were hosted as virtual machines. This provides customers with complete flexibility for maintenance and capacity additions because the entire system runs on the Flex. Pod converged infrastructure with stateless Cisco UCS Blade servers, and Net. App unified storage. Cisco maintains industry leadership with the new Cisco UCS Manager 3. Ciscos ongoing development efforts with Cisco UCS Manager, Cisco UCS Central, and Cisco UCS Director insure that customer environments are consistent locally, across Cisco UCS Domains and across the globe, our software suite offers increasingly simplified operational and deployment management, and it continues to widen the span of control for customer organizations subject matter experts in compute, storage and network. Our 1. G unified fabric story gets additional validation on 6. Series Fabric Interconnects as Cisco runs more challenging workload testing, while maintaining unsurpassed user response times. Net. App FAS with clustered Data ONTAP provides industry leading storage solutions that efficiently handle the most demanding IO bursts for example, login storms, profile management, and user data management, deliver simple and flexible business continuance, and help reduce storage cost per desktop. Net. App FAS provides a simple storage architecture for hosting all user data components VMs, profiles, user data on the same storage array. Net. App clustered Data ONTAP system enables to seamlessly add, upgrade or remove storage from the infrastructure to meet the needs of the virtual desktops. Net. App Virtual Storage Console VSC for VMware v. Sphere hypervisor has deep integrations with v. Sphere, providing easy button automation for key storage tasks such as storage repository provisioning, storage resize, data deduplication, directly from VCenter. Latest and greatest virtual desktop and application product. Citrix Xen. App and Xen. Desktop 7. 6 follows a new unified product architecture that supports both hosted shared desktops and applications RDS and complete virtual desktops VDI. This new Xen. Desktop release simplifies tasks associated with large scale VDI management. This modular solution supports seamless delivery of Windows apps and desktops as the number of users increase. In addition, HDX enhancements help to optimize performance and improve the user experience across a variety of endpoint device types, from workstations to mobile devices including laptops, tablets, and smartphones. Optimized to achieve the best possible performance and scale. For hosted shared desktop sessions, the best performance was achieved when the number of v. CPUs assigned to the Xen. App 7. 6 RDS virtual machines did not exceed the number of hyper threaded cores available on the server. In other words, maximum performance is obtained when not overcommitting the CPU resources for the virtual machines running RDS. Provisioning desktop machines made easy. Citrix Provisioning Services 7.