High Performance Computing at Your Fingertips
Penguin Computing On Demand (POD) allows organizations to utilize a high-performance, bare-metal, HPC computing environment in the cloud without having to invest in on-premise infrastructure. On POD you can take advantage of our scalability, performance and free expert support in a secure on-demand environment.
Computational jobs are easy to submit and monitor from either a traditional Linux CLI environment, or through the use of an intuitive and secure web portal. POD's HPC cluster is ready-to-run with hundreds of applications pre-installed eliminating much of the complexity of building, managing and scaling high-performance computing environments. This efficiency and economy of scale saves both capital and operational costs while ensuring a clear, predictable pricing model.
POD's bare-metal, InfiniBand on demand HPC compute cluster is ideal for organizations in manufacturing, biosciences, research, energy, design and finance—or any organization with high-performance computing needs.
Support by HPC Experts
Penguin Computing has well over a decade in optimizing HPC environments and applications. As a user of POD, we provide you with free support from our HPC experts who can assist you in running applications, managing workflows, and getting the best experience out of POD.
Setting up your Environment
Simply register for a POD account to try POD's high performance HPC cloud environment. Once you've created your account, the setup process consists of choosing your storage and login node preferences (free login nodes are available), then launching your login node for secure access to the compute cluster.
Running Your Application
POD provides a ready-to-run HPC environment for all your application needs. Use the Linux command-line interface or our web GUIs to load any of our vast set of pre-installed applications that are ready to use. If you don't see the application or version you need, our support team will install it for you.
Working with Application Licenses
POD supports applications with ready to run cloud licenses such as LSTC LS-DYNA, CD-Adapco StarCCM+, Mathworks MATLAB, and many more. We also support secure VPN tunnels which enable you to leverage your existing in-house licenses directly on POD.
Moving Data in and out
Upload and download data to POD without any fees for network transfers. POD sits on redundant, high-speed data links with speeds up to 1Gb per second. For your security, we only support secure protocol transfers in and out of POD. This includes secure access through our web interface, APIs, remote GUI tools such as WinSCP, and standard CLI transfer tools such as SCP and rsync via SSH.
Pre and Post Processing
POD is designed to handle your complete HPC workflow - pre-processing, compute, and post-processing. Accelerate your time to results by leveraging POD's remote visualization, 3D desktop interface, allowing you to visualize your cloud data directly through a web browser.
User Interface Options
POD provides various interfaces into our high-performance compute environment. Power users can use the familiar, traditional Linux CLI environment to compile custom code and interact with the cluster. Alternatively, all users are able to leverage secure Web GUI and API web services for submitting jobs, monitoring compute jobs, and staging data into the compute environment. Additionally, our Remote Visualization solutions provide a browser-based desktop into the cloud environment for graphically interacting with your data or running GUI-based applications.
POD's remote visualization solution is designed for HPC desktop applications -- enabling real-time interactive GUI workflows and 3D visualization. Traditional HPC environments require users to download large data files to on-premise workstations to post-process simulations - a process that can be frustrating, tedious and detrimental to a project's timeline.
Powered by Penguin Computing's Scyld Cloud Workstation, and backed by NVIDIA GRID™ technology, POD's remote visualization solutions offers significant time savings by moving pre- and post- processing to the cloud and eliminating the need to download large data files.
POD provides high-end workstation performance in an on-demand cloud environment. Users simply connect to the HPC environment from virtually any device running Firefox, Internet Explorer, Chrome or Safari. No plugins or application clients are necessary. Access is provided through HTTPS, requiring no additional ports through the firewall. This unique architecture saves bandwidth, improving image quality and ensuring near-universal accessibility for users.
Ensure Your Organization is Protected
Penguin takes security seriously and has strong security policies on POD to protect your data, secure your identity, and restrict access to only authorized users.
Single-Tenant Compute Environment - Unlike multi-tenant cloud environments, POD's compute environment is segregated to protect your privacy.
Physical Security - POD is hosted at a highly secure, Tier III facility that undergoes an annual SSAE 16 SOC1 Type II audit.
Data Security - All customer data lives solely at our United States, Tier III datacenter facility. Customers have complete control over access and persistence of their cloud data.
Encrypted Connections - All access to POD is over secure, industry standard, encrypted protocols: HTTPS+SSL, SSH through AES-128 or AES-256, or customized private VPN connections through AES-256.
Customized security options are also available through private cloud solutions.
Rely on Infrastructure Built by HPC Experts
Our philosophy when it comes to building HPC environments combines the speed and scalability of bare-metal compute environments with the flexibility of virtual machines in the cloud - with everything connected for high-speed networks. Designed and built by Penguin Computing's highly-skilled engineers, our infrastructure is a non-virtualized, non-blocking fabric with InfiniBand interconnects and gives organizations the performance and scalability they need to solve the world’s most complex issues.
Penguin Computing brings more than ten years of experience deploying high-performance clusters for Fortune 500 companies and government entities and works closely with ISVs to ensure HPC applications run optimally in the POD cloud environment.
Visit www.penguincomputing.com for more HPC solutions.
WhitepapersUsing Cloud Computing to Reduce Simulation Turnaround Times and Increase Simulation Throughput
by Shu Yang, IMMI and Arend Dittmer, Penguin Computing
FEA simulation throughput directly impacts productivity in any engineering organization that uses computational simulations in their design workflows. In the typically iterative design process, higher simulation throughput and shorter turnaround times allow for exploring more design parameters which in turn results in product designs that are closer to the elusive ‘optimal’ solution. On the other hand, the limited availability of computational resources often limits simulation throughput and increases the turnaround time for simulations resulting in less optimal solutions or delayed schedules. Offering scalability and a pay-as-you go payment model cloud computing promises a way out of this dilemma. This paper provides an overview of Penguin Computing’s public cloud infrastructure Penguin on Demand (POD) including a discussion of POD’s security model. The paper then discusses how IMMI, a provider of advanced safety systems reduced job turnaround time and increased job throughput of LS-DYNA simulations, using a hybrid model of in-house compute resources and Penguin Computing’s public cloud offering Penguin Computing on Demand (POD). Specific examples such as design of IMMI’s FlexSeat, a three point belted seat for school buses, frontal crashing simulation of fire trucks as well as respective benchmark data will be provided.
May 6, 2015
NUMECA FINE™/Marine Software and Penguin Computing Help ORACLE TEAM USA Prepare for America's Cup
March 18, 2015
Penguin Computing Announces Availability of Scyld Cloud Workstation for Remote 3D Visualization in the Cloud
May 5, 2015
Penguin Computing Announces MATLAB Distributed Computing Server Availability on HPC Cloud Service
April 14, 2015
March 4, 2014
June 17, 2013