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Simplifying NVIDIA GPU Driver Deployment on Red Hat Linux

Over at the NVIDIA blog, Pramod Ramarao writes that NVIDIA and Red Hat have worked closely to improve the user experience when installing and updating NVIDIA software on RHEL, including GPU drivers and CUDA. “The NVIDIA / Red Hat partnership continues to grow and there are many integration efforts across Red Hat’s and NVIDIA’s product portfolios on projects as diverse as video drivers, heterogeneous memory management (HMM), KVM support for virtual GPUs, and Kubernetes.”

Red Hat Teams with NVIDIA to Accelerate Machine Learning in the Cloud

Today Red Hat announced it has deepened its alliance with NVIDIA to accelerate the enterprise adoption of AI, machine learning and data analytics workloads in production environments. To move thins along, Red Hat is launching an early access program for prospective customers. “High-performance technologies are moving at a brisk rate into enterprise data centers to accelerate product development and business operations – including financial services, ERP and sales analysis, fraud detection and cybersecurity, and machine learning-AI,” said Steve Conway, senior vice president of research, Hyperion Research. “The hybrid cloud solutions from Red Hat and NVIDIA are designed to make accelerated computing use easier for enterprises on-premise and in the cloud.”

Video: OpenHPC Update

Adrian Reber from Red Hat gave this talk at the FOSDEM’19 conference. “In this talk I want to give an introduction about the OpenHPC project. Why do we need something like OpenHPC? What are the goals of OpenHPC? Who is involved in OpenHPC and how is the project organized? What is the actual result of the OpenHPC project? It also has been some time (it was FOSDEM 2016) since OpenHPC was part of the HPC, Big Data and Data Science devroom, so that it seems a good opportunity for an OpenHPC status update and what has happened in the last three years.”

Red Hat Steps Up with HPC Software Solutions at SC18

In this video from SC18 in Dallas, Yan Fisher and Dan McGuan from Red Hat describe the company’s powerful software solutions for HPC and Ai workloads. “All supercomputers on the coveted Top500 list run on Linux, a scalable operating system that has matured over the years to run some of the most critical workloads and in many cases has displaced proprietary operating systems in the process. For the past two decades, Red Hat Enterprise Linux has served as the foundation for building software stacks for many supercomputers. We are looking to continue this trend with the next generation of systems that seek to break the exascale threshold.”

IBM To Acquire Red Hat

Today IBM announced that the company plans to acquire all outstanding common shares of Red Hat for $190.00 per share in cash, representing a total enterprise value of approximately $34 billion. “One of the biggest enterprise technology companies on the planet has agreed to partner with us to scale and accelerate our efforts, bringing open source innovation to an even greater swath of the enterprise.”

Video: NVIDIA and Red Hat Simplify AI Development and Manageability

In this video, Tony Paikeday from NVIDIA describes how the DGX-1 for Red Hat Enterprise Linux is transforming enterprise computing with the power of Machine Learning. “Red Hat and NVIDIA have a solution with the certification of the NVIDIA DGX-1 for Red Hat Enterprise Linux. The combination enables enterprises to easily plug in and power up the AI supercomputer that has become the essential tool for AI innovators and researchers everywhere. And they can do so with a familiar operating system. In fact, 90 percent of Fortune 500 companies use Red Hat Enterprise Linux in their operations.”

Red Hat Powers NVIDIA DGX-1 for Ai Workloads

Today Red Hat announced it is collaborating with NVIDIA to bring a new wave of open innovation around emerging workloads like artificial intelligence, deep learning and data science to enterprise datacenters around the world. “Red Hat Enterprise Linux’s enablement of NVIDIA GPUs on our Sierra supercomputer provides commonality across our systems, greatly facilitating our users’ ability to exploit the world’s third fastest computer,” said Bronis Supinski, CTO of Livermore Computing.

How Red Hat Powers the #1 Summit Supercomputer

In this video from ISC 2018, Yan Fisher from Red Hat and Buddy Bland from ORNL discuss Summit, the world’s fastest supercomputer. Red Hat teamed with IBM, Mellanox, and NVIDIA to provide users with a new level of performance for HPC and AI workloads. ”
But the rapid innovation showcased by Summit must be consumable, and that’s where Red Hat Enterprise Linux comes in. Despite the scale, processing capability, and “intelligence” of Summit’s composition, end users interact with something they understand: Linux, in the form of the world’s leading enterprise Linux platform. Red Hat Enterprise Linux provides a common, stable basis that ties together all of this innovation.”

Red Hat’s Relentless Focus on Open Source Software Challenges Status Quo in Supercomputing

In this guest article, Red Hat Chief Technology Officer Chris Wright explores how his company’s focus on open source software is challenging the status quo in HPC and supercomputing. “In collaboration with our partners, Red Hat is enabling new hardware architectures, supporting various acceleration technologies and cache-coherent interconnects, and driving open innovation and standardization in high-performance computing.”

Supermicro Steps up to HPC & AI Workloads at ISC 2018

In this video from ISC 2018, Perry Hayes and Martin Galle from Supermicro describe the company’s latest innovations for HPC and AI workloads. “Supermicro delivers the industry’s fastest, most powerful selection of HPC solutions offering even higher density compute clusters to deliver maximum parallel computing performance for any science and engineering, simulation, modeling, or analytics applications,” said Charles Liang, president and CEO of Supermicro.