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 instances GPU instances work best for applications with massive parallelism such as workloads using thousands of threads. Critical Capabilities For Scale Out File System Storage' title='Critical Capabilities For Scale Out File System Storage' />Keep up with data growth and manage large datasets with ease. 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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. Critical Capabilities For Scale Out File System Storage' title='Critical Capabilities For Scale Out File System Storage' />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. EBG/Video/images/large/en/Huawei%20OceanStor%209000Fastest%20scaleout%20storage%20opening%204K%20age.jpg?h=264&la=en-GB&w=470' alt='Critical Capabilities For Scale Out File System Storage' title='Critical Capabilities For Scale Out File System Storage' />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. What HDFS Does. HDFS is a Javabased file system that provides scalable and reliable data storage, and it was designed to span large clusters of commodity servers. Hewlett Packard Enterprise offers a number of cloud ready server solutions including Proliant servers that will improve the efficiency of your network systems. Offsite backup and recovery is a critical part of any disaster recovery DR plan. Improve your DR plan and avoid data loss with our powerful replication features. 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 instances P3 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 instances P3 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 VPC P3 instances will support VPC only. Q. How are G3 instances different from P2 instancesG3 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. 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, 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 instancesP3 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. Torrent Manila Exposed. 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 instancesThere 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. AWS Snowball Edge Petabyte Scale Data Transport with On Board Storage and ComputeThe Hatfield Marine Science Center HMSC is a leading marine laboratory and the campus for the Oregon State Universitys research, education, and outreach in marine and coastal sciences, collecting and analyzing hundreds of TBs of real time oceanic and coast images every year to improve environmental sustainability and provide strategic insights to coastal process and planning. Our original method for capturing oceanic image data involved many small hard drives, and we had to hand carry each one to our computing center and loaded them one at a time. It would take weeks to months before we could analyze the images we collected, so it really slowed down our research. It also cost us tens of thousands of dollars per year. With AWS Snowball Edge, we can now collect 1. TB of data with no intermediate steps, and we can also analyze the images immediately using the onboard compute capabilities. This allows us to do deeper analysis, and we can upload all the raw data to the AWS Cloud by simply shipping the AWS Snowball Edge device back. AWS Snowball Edge allows us to access AWS storage and compute capabilities in our coastal explorations where no internet is available and allows us to move petabytes to the AWS Cloud quickly and easily where we can continue to use all the power of the AWS platform. Bob Cowen, Director of Hatfield Marine Research Center, Oregon State University.