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October 13, 2015 10:48 PM ET

Internet Software and Services

Company Overview of Penguin Computing, Inc.

Company Overview

Penguin Computing, Inc. operates as a high-performance computing (HPC) cloud company that provides HPC Linux solutions from the workstation to the cloud for HPC customers, enterprise customers, and individual users worldwide. It offers solutions in the areas of big data Hadoop clusters, cloud solutions, three-dimensional cloud workstations, network storage solutions, open technologies, cluster management and workflow tools, and alternative compute technologies; rack mount servers, network switches, software, and open compute projects; and HPC clusters, custom rack solutions, graphics processing unit computing, starter kits, infrastructure monitoring software, and enterprise data center solut...

45800 Northport Loop West

Fremont, CA 94538

United States

Founded in 1998





Key Executives for Penguin Computing, Inc.

Chief Executive Officer, President and Director
Chief Financial Officer
Age: 45
Senior Vice President of Engineering & Operations
Chief Technology Officer
Director of Product Management
Compensation as of Fiscal Year 2015.

Penguin Computing, Inc. Key Developments

Penguin Computing Announces New Penguin Tundra Open Compute Servers

Penguin Computing announced the availability of Penguin's Open Compute Project (OCP) compliant 'Tundra' server family based on Cavium, Inc.'s, 64-bit ARMv8 ThunderX workload optimized processors. The development of ThunderX-based servers enables Penguin to provide best-in-class ARMv8 performance with reduced TCO, using SOCs optimized for specific workloads, in platforms customized for financial, bioinformatics, Internet and federal government market segments. Penguin Tundra server platforms featuring Cavium ThunderX will focus on highly-scalable Hyperscale and HPC-type workloads including big data, large-scale graph analytics, molecular dynamics, and Ceph /cloud storage. Performance will be driven by ThunderX ARMv8 SOCs optimized for these workloads, with up to 48 high performance custom cores, very high memory bandwidth, and large memory capacity. Adding to these high-performance features are integrated accelerators for storage, networking or security, offloading from the main ARMv8 CPU cores and enabling best-in-class performance. In addition, integration of Ethernet fabric interfaces and storage controllers reduces both power and cost, driving outstanding reductions in TCO. Penguin Tundra servers featuring Cavium ThunderX CPUs are available for customer evaluation starting in September 2015, with general availability in the fourth calendar quarter of 2015.

Penguin Computing Announces Availability of Scyld Cloud Workstation for Remote 3D Visualization in the Cloud

Penguin Computing announced availability of a unique remote 3D visualization capability featuring graphics accelerated, client-less remote supercomputing through a standard Wi-Fi connection and browser. Penguin Computing has worked with software developer Colorado Code Craft to create the most compelling remoting technology in the market and it’s a perfect fit for Penguin Computing on Demand (POD) cloud offerings. Scyld Cloud Workstation, powered by NVIDIA GRID technology, offers significant time savings by eliminating the need for downloading large data files, and moving pre- and post-processing to the cloud for highly efficient workflow. For example, a manufacturing engineer using a Scyld Cloud Workstation can graphically view analysis without downloading large output results. The ability to run real-time, interactive GUI workflows and 3D visualization in the cloud removes the traditional barrier of moving large files down to on-premises workstations. No browser plug-in or application installation is needed and the difficulty of security changes is eliminated with secure access provided via HTTPS. NVIDIA GRID technology enables visually demanding applications from either on-premise or cloud-based virtualized servers to users across an organization. Because graphics processing can now be run on the GPU instead of the CPU, data center managers can provide, for the first time, a graphics-rich PC experience to more users in virtualized environments. While remote visualization has gained momentum by allowing end-user applications to move from the desktop into the data center, customers often face poor performance and high bandwidth requirements. Scyld Cloud Workstation provides accelerated 3D performance from a remote server displayed directly into a standard browser, eliminating the need for a third-party client and potential security breaches associated with opening non-standard ports in a company’s firewall.

Penguin Computing Announces the First Application Optimized Accelerated Processing Unit Clusters

Penguin Computing announced the first application optimized accelerated processing unit (APU) clusters, making seamless GPU and CPU memory sharing on clusters a reality based on heterogeneous system architecture (HSA) from Advanced Micro Devices. The shared memory capability involves very lightweight context switches to switch instantaneously between the GPU and CPU, whichever code runs best at a given moment. Today’s applications require power efficiency and high performance achieved through highly parallel computing, however GPUs and CPUs present a bottleneck to efficient cluster functionality due to separate memory space. This traditional architecture results in inefficient GPU/CPU communication, which is a challenge to scaling. The combined Penguin Computing and AMD solution is a very cost-effective way to get started with one node or cluster.

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