HPC

Cavium Expands the ThunderX2 Server Ecosystem for Cloud and HPC Applications

Grazed from Cavium

Cavium, Inc., a leading provider of semiconductor products that enable secure and intelligent processing for enterprise, datacenter, cloud, wired and wireless networking, continues to aggressively expand the ThunderX2 server ecosystem with a broad array of commercial and open source partners.   
 
Demonstrating success in working closely with software developers and communities since the initial launch of ThunderX, Cavium has established a significant ecosystem that spans Operating Systems, Development Environments, Tools, and Applications.  An increasing array of hosted options such as Packet.Net and the online Scaleway cloud service offerings, combined with a rich set of single and dual-socket ODM and OEM platforms that include and OCP configurations, allow developers to easily build, develop, and deploy their software on ThunderX based platforms.

 

Huawei and Altair to Pursue High-Performance Computing and Build Industrial Simulation Cloud Solutions

Grazed from PRNewsWire. Author: Editorial Staff.

Huawei and Altair have signed a Memorandum of Understanding (MoU) at CeBIT 2017, marking the beginning of a cooperation for High-performance Computing (HPC) and Cloud Solutions. The two companies will cooperate with each other to develop industrial simulation cloud solutions for their customers.

In accordance with the terms of the cooperation, they will build a joint test center in Huawei's Munich OpenLab to carry out software and hardware optimization tests based on Altair's PBS Works and Huawei's HPC and cloud platforms. Taking full advantage of the high performance and reliability of Huawei's HPC and cloud platforms, the joint tests will help customers reduce software integration and performance verification workloads considerably and simplify the deployment and management of industrial simulation cloud platforms...

Kinetica and Nimbix Team Up to Offer GPU Computing in the Cloud for Enterprise Customers

Grazed from Kinetica and Nimbix

Kineticaprovider of the fastest, in-memory database accelerated by GPUs, today announced its real-time analytics and visualization solution is immediately available on the Nimbix Cloud.  Providing instant results and visualized insights across massive streaming datasets, Kinetica on the Nimbix Cloud can be launched in seconds and is the ideal solution for GPU-accelerated analytics.

"Kinetica on the Nimbix Cloud harnesses the power of parallel GPUs to deliver real-time analytics and data written to Kinetica is automatically routed to parallel connections across the cluster," said Amit Vij, cofounder and CEO, Kinetica.  "The full Kinetica stack can be provisioned with a couple of mouse clicks from the Nimbix console or launched and automated with JARVICE's powerful task API."

UberCloud Cites Progress in HPC Cloud Computing

Grazed from HPCWire. Author: Editorial Staff.

200 HPC cloud experiments, 80 case studies, and a ton of hands-on experience gained, that’s the harvest of four years of UberCloud HPC Experiments. This article summarizes major findings, a discussion of roadblocks and how they have been resolved, and offers three examples from the latest 2016 Compendium of HPC cloud case studies.

HPC cloud experiments demonstrate progress in HPC cloud computing

After four years and 200 cloud experiments we are now able to measure cloud computing progress, objectively. Looking back four years at our first 50 cloud experiments, 26 of them failed or didn’t finish, and the average duration of the successful ones was about three months. Four years later, in 2016, looking at our last 50 cloud experiments, none failed; and the average duration of these experiments is now just about three days...

Rescale Brings New HPC and AI Capabilities to Market via the IBM Cloud

Grazed from Rescale

Rescale, a global leader in cloud high performance computing (HPC), announced today that it has selected IBM Cloud as a preferred cloud computing provider, expanding its global HPC infrastructure network. By running Rescale’s simulation and deep learning platform on the IBM Cloud, engineers, data scientists, CIOs, and IT professionals gain greater global reach, flexibility, and performance for their data and graphics-intensive workloads.

Rescale’s platform provides a software library of over 180+ simulation and machine learning applications that tackle the world’s toughest big data and big compute IT challenges. Now companies can deploy Rescale’s turn-key SaaS platform in any IBM Cloud Data Center worldwide. This also includes running popular deep learning and AI software packages by providing unlimited, pay-as-you-go access to the latest GPUs, enabling organizations to stay on the cutting edge of R&D. Rescale on IBM Cloud enables seamless access and utilization of HPC resources in the cloud, enabling engineers and data scientists to increases efficiency and time to market and providing IT executives increased visibility and control over the full-stack environment.

Nimbix Teams with Xilinx to Expand FPGA-Based Workload Acceleration in the Cloud

Grazed from Nimbix

Nimbix, a leading HPC cloud platform provider today announced the immediate availability of the Xilinx SDAccel development environment for on-demand development, testing, and deployment of FPGA-accelerated workflows in the Nimbix Cloud, powered by JARVICE.  The SDAccel development environment combines the industry's first architecturally optimizing compiler supporting any combination of OpenCL, C, and C++ kernels, along with libraries, development boards and industry standard development and run‐time experience for FPGAs.

The new offering will dramatically lower the barrier to leveraging the high performance, energy efficient power of FPGAs to accelerate high end computational workflows across all industries.  Developers can now run these tools in the cloud and then test and deploy on the latest Xilinx-accelerated hardware with no upfront investment or equipment purchases.

Nimbix Adds Docker Integration to JARVICE Platform

Grazed from Nimbix

Nimbix, a leading HPC cloud platform provider, today announced a new capability, PushToCompute is a method for rapid cloud deployment and monetization of containerized compute intensive applications.  This capability is built into the JARVICE platform which powers the Nimbix Cloud.

Through the added feature on the JARVICE platform, developers are able to import the latest version of their application into an existing workflow in the Nimbix Cloud and make it available for consumption at scale immediately.  The application, along with its dependencies, executes in JARVICE's container runtime environment, which provides superior performance and scale.  This includes sub-second launch times, faster execution, seamless access to advanced computational accelerators (such as GPUs and FPGAs), automated heterogeneous data management, and rapid workflow deployment across multiple compute nodes either in a parallel or distributed paradigm.

Nimbix Included in Top Industry Analyst 2016 Cool Vendor List for Compute Platforms

Grazed from Nimbix

Nimbix, a leader in cloud-based, High-Performance Computing (HPC) infrastructure and applications, today announced it has been showcased in the list of "Cool Vendors" in the "Cool Vendors for Compute Platforms, 2016" report by Gartner, Inc. Nimbix provides customers with an innovative HPC processing platform as a Pay-per-Use or Subscription-based computing service.

The rapid adoption of containers and "software defined" abstraction from hardware, have created renewed interest in server and virtualization technology. The Cool Vendors seek to guide I&O leaders on how to assess and expand server functionality beyond traditional OSS and hypervisors.

HPC finally climbs into the cloud

Grazed from ScientificComputing. Author: Editorial Staff.

Although commerce and consumers have been computing in the cloud for years, the high-performance computing sector has been more hesitant. But all that may now be changing. The cost of cloud computing for HPC is falling, while new programming models that will allow HPC workloads to run more efficiently in the cloud are becoming available. ‘Public cloud’ providers are installing hardware configurations that are more suited to HPC, while private clouds are giving users experience of how to run their jobs in a cloud environment.

Nonetheless, HPC in the cloud has not got off to a flying start. The market research company Intersect360 reported last year that the HPC users they surveyed spent only about three per cent of their budgets on cloud computing – and the percentage has not changed much over the past five years...

High Performance Cloud Provider Nimbix Selects Infomart Data Centers' Dallas Facility

Grazed from Infomart Data Centers and Nimbix.

Infomart Data Centers, a national wholesale data center provider, announces today that Nimbix, Inc., a leader in cloud-based, High-Performance Computing (HPC) infrastructure and applications, has selected Infomart Dallas to support the infrastructure needs of its upgraded HPC cloud platform, JARVICE 2.0. Infomart Dallas provides Nimbix with a high-density data center complete with industry-leading connectivity options, access to the core Dallas / Fort Worth (DFW) network hub, and the low-cost power it needs to deliver its innovative HPC solutions.

With plans to supply 100 MW of electricity to the building, Infomart Dallas provides Nimbix the capacity it needs to scale both density and footprint, necessary for maintaining the high-speed networking fabric required to deliver its HPC cloud applications. With power density requirements equating to three to four times the industry average for cloud computing, Nimbix also takes advantage of the building's access to low-cost power, which enables it to realize a 50 percent power savings as compared to other Dallas data center providers. Additionally, Nimbix's cloud-based supercomputing solution benefits from Infomart's flexible design options, including the use of containment and Vertical Exhaust Ducts (VEDs) to scale density and enable greater efficiency, and consequently, improve usage cost economics.