RescaleがクラウドプロバイダーとしてIBMを採用し、前例のないパフォーマンスと、スケール、およびフレキシビリティーを顧客へ提供

rescaleibmcloud

クラウドHPC(High Performace Compuring)の世界的リーダー企業であるRescale, Inc.(以下、「Rescale」)は、グローバルなインフラ網を拡大するためのクラウドコンピューティングプロバイダーとしてIBM Cloudを採用したことを本日発表いたしました。IBM Cloud上でRescaleのシミュレーションとディープラーニング(深層学習)プラットフォームを提供することで、エンジニア、データサイエンティスト、CIO、およびITプロフェッショナルは、より広いグローバルリーチと、柔軟性、およびデータやグラフィックスを多用するワークロードに必要な巨大なパフォーマンスを得ることができるようになります。

Rescaleプラットフォーム  は、180種類以上のシミュレーションと機械学習アプリケーションのソフトウェアライブラリを提供し、膨大なビッグデータと計算を必要とするIT課題への取り組みを手助けします。企業は、世界中のIBM CloudデータセンターにあるRescaleのターンキー型SaaSプラットフォームを利用することができます。広く使われているディープラーニングおよびAIソフトウェアパッケージを従量課金型で上限なく利用可能なGPU環境上で利用できるため、組織は常に最先端のR&D環境を維持し続けることができます。IBM Cloudで提供されるRescaleプラットフォームは、クラウドにあるHPCリソースへの利用とシームレスなアクセスを可能にし、エンジニアやデータサイエンティストに対して効率性と製品化の促進を可能にし、IT担当幹部に対してはフルスタック環境の可視化と管理能力を増大させます。

「IBM CloudはHPCを自由に広く利用可能にします。Rescaleによって、私たちはHPC利用へのコスト的な障壁を破壊しただけではなく、素の状態コンピューティングパワーを使いやすく容易にアクセス可能にしました。」IBM Cloudプラットフォームのディレクター&特別エンジニア(Distinguished Engineer)、Marc Jonesは述べます。

企業は、データマイニング、機械学習とシミュレーションにおけるアプリケーションの技術とパフォーマンスの要件を満たすために、最新のNVIDIA®のGPU機能が採用されたIBMのベアメタルクラウドサーバーを選択することができるようになります。 IBMのGPU対応サーバーを時間単位で稼働できることによって、プライベート、パブリック、またはハイブリッドクラウド環境へのきめ細かな制御とスケーラビリティーを、企業へもたらします。最新のx86プロセッサとNVIDIAのGPUアクセラレータに加えて、Rescaleは、2017年にIBM OpenPOWERベースのサーバーへのサポートを拡張する予定です。

IBM Cloudが有するグローバルなHPCインフラストラクチャーのユニークなネットワーク基盤は、地域毎のセキュリティ要件を満たしながら、地域インフラへの低レイテンシのアクセスを提供するため、Rescaleが、北米、ヨーロッパ、日本などの地域をカバーする強力なビジネスを構築することを可能にしました。Rescaleのソリューションは、ライフサイエンス、ゲノミクス、CAE、製造、電子設計自動化や半導体、金融サービスなどの広い分野で、HPC業務を実践している企業へ重要な役割を提供します。

Rescaleプラットフォーム上で、シミュレーションとHPCワークロードを実行することによる、Rescaleの顧客のメリットは以下の通りです:

  • 市場への迅速な製品展開 – 設計サイクルの短縮とソフトウェアの開発の改善、
  • IT設備投資の減少やTCOやROIの改善 – 必要なものだけを利用するクラウドベースの従量課金モデル
  • ITアジリティー – グローバルなコラボレーションとHPCインフラストラクチャへのアクセスを実現
  • 統合ソリューション – オンプレミス、ハイブリッド、プライベートおよびパブリッククラウド、およびIoTネットワークをカバー

「今日起こっているIT技術革新のほとんどは、クラウドファーストモデルです。」と、Rescaleの共同創設者兼最高経営責任者(CEO)のJoris Poortは述べます。 「私たちは、世界のトップ科学者や思想家が満足し、アイデアを加速させることができるプラットフォームを構築しています。自動車設計から、新薬の発見、さらには実際のロケット科学まで、我々は各分野のリーダーであるお客様へ、より速く、より多くの革新を達成するための力を与えています。」

【Rescaleについて】
Rescaleは、クラウドでのハイパフォーマンスコンピューティング(HPC)とシミュレーション、およびディープラニングにおいて業界をリードするグローバルなサービスプロバイダーです。Rescaleは、グローバル・フォーチュン500をはじめとする多くの企業のエンジニアや科学者に向けて、革新的な新製品の開発と、より速くより低コストに画期的な研究開発を実現するためのサービスを提供しています。Rescaleプラットフォームは、世界で最も強力で広大なハイパフォーマンス・コンピューティング・ネットワーク上で構築されており、従来の柔軟性を欠くIT資源を、フレキシブルな、ハイブリッド、プライベートおよびパブリッククラウドの資源に転換します。
Rescaleの製品やサービスに関する詳細情報については、www.rescale.jpをご覧ください。

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This article was written by Rescale Japan.

digitaltwin

An engineer from a phone manufacturing company was explaining to me that consumers are asking for exponentially more features today.  This increase in features is leading to more components in the phone, and thus introducing more risk in the product development and design process.  The number of test scenarios this engineer has to foresee to prevent costly field issues, like a phone catching on fire, has drastically increased over the past year. So how can an engineering team keep up with delivering highly innovative products on time and still meet demanding quality standards?

Engineering software companies came up with their own buzzword: the digital twin, a time-effective tool for making decisions that would be costly or impossible to do with physical testing on a real model.  It consists of a set of physical characteristics (thermal, structural, electromagnetic, fluid dynamics, etc.) overlaid with behavioral data collected from the real product. Physical characteristics are often modelled as virtual high-fidelity models using different simulation software packages. In the car industry for example, LS-DYNA might be used for crashworthiness, STAR-CCM+ for aerodynamics, and Abaqus for durability. The complex high-fidelity simulation test scenarios are run on high-performance computers (HPC) and take days or sometimes even weeks to return results. Not only has the digital twin become a key component of the product development process, but reliance on simulation results is ever-increasing, resulting in larger model size, higher number of runs, and more sophisticated multidisciplinary simulation workflows.   

Companies manufacturing chips are coming up with more and more specialized hardware (memory-intensive chips, SSD drives, low-latency networks, GPUs, specialty co-processors, etc.) that are increasingly leveraged by simulation software to deliver better performance. The head of engineering IT at an automotive OEM recently told me, “I can’t ignore anymore how fast hardware is improving, but maintaining our in-house HPC with the latest technology is simply impossible.” Manufacturing IT departments have to transform to address these challenges of a fragmented and rapidly evolving IT ecosystem to fully enable proper use of the digital twin to innovate. Engineers need access to the right software package to solve a specific engineering scenario and run the simulations in an optimal and scalable IT environment to deliver on the full promise of the digital twin. 

Rescale empowers engineers not only with speed but also with the capabilities to efficiently interrogate the digital twin model to conceptualize, compare alternatives, and collaborate. It is a turn-key simulation cloud platform that provides access to 180+ simulation and deep learning software packages through a tailored SaaS portal to accommodate the needs of every type of end user. Various analyses can run on a broad set of core types through the Rescale global HPC network, including any data center and core type from AWS, a preferred Rescale partner.  

While openness and speed are key components to a successful Digital Twin environment deployment, manufacturing companies  are also concerned by the cost of this transformation. Rescale and AWS’ partnership goes beyond cloud native use cases in order to protect a customer’s past investment.  Rescale can easily be integrated with a customer’s legacy environment (on-premise HPC, homegrown tools and script, local license server, etc.), enabling a seamless, progressive migration from on-premise to hybrid to a cloud-first environment.  Additionally, AWS’ Spot pricing has enabled Rescale to offer increased pricing flexibility, allowing it to better meet customers’ requirements and to balance cost versus performance goal per simulation. Finally, manufacturing companies also need to take into account the opportunity cost of an on-premise HPC-only solution and thus consider engineering wait time, hardware maintenance, and overly conservative end-product.

This article was written by Fanny Tréheux.

supercomputing

We’re at an inflection point in the computer industry.

Today’s iPhones hold more processing power than the best Apollo-era computers. Moore’s Law tells us that the number of transistors on integrated circuits doubles every two years. We hold an unprecedented amount of computing power at our fingertips, and it’s still growing at an exponential rate.

This holds true for the engine of innovation: high-performance computing (HPC). HPC refers to the use of supercomputing and parallel processing techniques to solve massive, complex computational problems. Companies such as Cray, IBM, Intel, SGI, Sun and Thinking Machines have all made breakthroughs in this storied endeavor over the years, pushing the boundaries of what can be analyzed and designed using computers.

As a former engineer at Boeing, where I helped design the wing of the 787 Dreamliner, I can tell you the demand for compute power is increasing exponentially. As IT services migrate to the cloud, not only is raw compute power becoming highly accessible, but it is also available in hourly, pay-as-you-go models. Infinite compute power is now at users’ fingertips, enabling instant scalability, shortened product cycles and improved product quality. InfiniBand networking, GPUs and bare metal servers that were once considered too expensive or out of reach can now be easily accessed from the cloud.

Cloud computing has created a disruptive inflection point for HPC. By delivering a broad library of high-end HPC applications on the cloud, my company, Rescale, accelerates the adoption and democratization of HPC globally. We have undertaken the ambitious task of helping customers of all sizes deploy, monitor, manage and optimize their HPC resources, whether they are in the cloud, on premises, or in a hybrid environment.

At Rescale, we have built a cloud HPC platform that delivers:

  • A turnkey, zero-IT footprint solution that meets the highest security standards
  • A natively-integrated, pre-configured library of more than 180 simulation and machine learning software packages with on-demand and bring-your-own-license (BYOL) licensing options
  • The largest global network of HPC resources (57 data centers in nearly two dozen locations) with support across multiple IT environments

We’ve not only removed the barriers of entry to HPC, but we have also simplified the delivery of HPC services in an a la carte fashion. From automotive design to drug discovery to even actual rocket science, we’re empowering our customers to be leaders in their fields, accomplish more and innovate faster.

We are on a journey at Rescale to build the platform that enhances and accelerates the ideas of the world’s top engineers, scientists and innovators. Join us in empowering global innovation.

Rescale, a global leader in cloud HPC, recently selected IBM Cloud as a preferred cloud computing provider, expanding its global HPC infrastructure network. Explore high performance computing solutions on IBM Cloud.

This article was written by Joris Poort.

Rescale selects IBM as a preferred cloud provider, helping customers achieve unprecedented performance, scale and flexibility

rescaleibmcloud

Salt Lake City, Utah — 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.

“IBM Cloud is democratizing HPC. We are not just breaking down the financial barriers to entry; now, with Rescale, we are also making this raw compute power accessible and easy to use,” said Marc Jones, Distinguished Engineer, IBM Cloud Infrastructure.

Companies can now select IBM’s bare metal cloud servers enabled with the latest NVIDIA® GPU capabilities to meet the technical and performance requirements of applications in data mining, machine learning and simulation. IBM’s GPU-enabled servers can be spun up on an hourly basis, giving companies granular control and scalability over their private, public or hybrid cloud environments. In addition to the latest x86 processors, NVIDIA GPU accelerators, Rescale plans to extend its support to IBM POWER-based server capabilities in 2017.

The Rescale solution running on the IBM Cloud is key for companies running HPC workloads in a broad range of sectors such as life sciences and genomics, computer-aided engineering and manufacturing, electronic design automation and semiconductors, and financial services.

By running their simulation and HPC workloads on the Rescale platform, customers benefit from:

  • Faster product time to market by shortening design cycles and improved software development.
  • Reduced IT capex spend and improved TCO and ROI from a cloud-based pay-as-you-go model—customers use only what’s needed.
  • Transformed IT agility by enabling global collaboration and access to HPC infrastructure.
  • Integrated solutions including hybrid, on-premises, private and public cloud, and IoT networks.

“Most of the IT innovation that is happening today is with a cloud-first model,” said Joris Poort, co-founder and CEO of Rescale. “We’re building a platform that can satisfy and accelerate the ideas of the world’s top scientists and thinkers. From automotive design to drug discovery and even actual rocket science, we’re empowering our customers as leaders in their respective fields, to accomplish more and innovation faster.”

To find out more about how Rescale on IBM Cloud can improve your HPC workloads come by the NVIDIA Booth #2231 at SC16.

About Rescale
Rescale is the global leader for high-performance computing simulations and deep learning in the cloud. Trusted by the Global Fortune 500, Rescale empowers the world’s top scientists and engineers to develop the most innovative new products and perform groundbreaking research and development faster and at lower cost. Rescale’s platform transforms traditional fixed IT resources into flexible, hybrid, private, and public cloud resources – built on the largest and most powerful high-performance computing network in the world. For more information on Rescale products and services, visit www.rescale.com.

Press Contact:
Mika Pegors
Product Marketing Manager
Rescale
855-737-2253 (1-855-RESCALE)
mika@rescale.com

This article was written by Rescale.