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WekaIO Rocks the IO500 at SC19

In this video from SC19, Charla Bunton-Johnson & Mat Gruen from WekaIO describe the company’s high performance shared file system and how they closely with industry-leading technology resellers, distributors, service providers, and integrators to maximize performance and business opportunity. “At the show, Weka announced that it has been awarded the first-place ranking on the IO-500 Challenge, rankings that compare storage systems that work in tandem with the world’s largest supercomputers. The Weka File System (WekaFS) running on AWS set a record on the IO-500 benchmark.

D-Wave Expands Leap API into Amazon Braket

Today D-Wave Systems announced the expansion of the Leap API into Amazon Braket, a new, fully managed Amazon Web Services (AWS) solution that allows scientists, researchers, and developers to begin experimenting with computers from quantum hardware providers in a single place. The service, announced today at AWS re:Invent 2019, gives AWS users live cloud access to D-Wave’s 2000Q quantum processor via the Leap quantum cloud service API. Customers and developers will be able to leverage D-Wave’s processing power in real time to run quantum applications directly from Amazon Braket. This access will extend to forthcoming D-Wave systems, such as the next-generation Advantage, coming in mid-2020.

Amazon Braket to offer Multivendor Quantum Computing Service

Today AWS announced Amazon Braket, a fully managed service that enables scientists, researchers, and developers to begin experimenting with computers from quantum hardware providers (including D-Wave Systems, IonQ, and Rigetti) in a single place. The quantum service is one of three key initiatives as a part of the company’s plans to help advance quantum computing technologies. “As a fully managed service, Braket makes it possible for customers to get started on quantum computing by providing a single development environment to build quantum algorithms, test them on simulated quantum computers, and try them on a range of different quantum hardware architectures.”

Video: Characterizing Network Paths in and out of the Clouds

Igor Sfiligoi from SDSC gave this talk at CHEP 2019. “Cloud computing is becoming mainstream, with funding agencies moving beyond prototyping and starting to fund production campaigns, too. An important aspect of any production computing campaign is data movement, both incoming and outgoing. And while the performance and cost of VMs is relatively well understood, the network performance and cost is not.”

Intel and AWS Team for HPC Performance in the Cloud

In this video from SC19, Trish Damkroger from Intel and Ian Colle from AWS describe how the two companies collaborate to deliver the best possible application performance in the Cloud. “HPC on AWS, powered by Intel Xeon Scalable processors, offers the most elastic, scalable cloud infrastructure to run HPC applications, and the range of services makes it easier than ever to get started quickly, securely, and cost-effectively.”

What to expect at SC19

In this special guest feature, Dr. Rosemary Francis gives her perspective on what to look for at SC19 conference next week in Denver. “There are always many questions circling the HPC market in the run up to Supercomputing. In 2019, the focus is even more focused on the cloud in previous years. Here are a few of the topics that could occupy your coffee queue conversations in Denver this year.”

Video: What Can HPC on AWS Do?

Ian Colle from Amazon gave this talk at the HPC User Forum. “AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. AWS delivers an integrated suite of services that provides everything needed to quickly and easily build and manage HPC clusters in the cloud to run the most compute intensive workloads across various industry verticals.”

AWS Launches EC2 G4 Instances powered by NVIDIA GPUs

Today AWS announced the general availability of G4 instances, a new GPU-powered Amazon Elastic Compute Cloud (Amazon EC2) instance designed to help accelerate machine learning inference and graphics-intensive workloads, both of which are computationally demanding tasks that benefit from additional GPU acceleration. “With new G4 instances, we’re making it more affordable to put machine learning in the hands of every developer. And with support for the latest video decode protocols, customers running graphics applications on G4 instances get superior graphics performance over G3 instances at the same cost.”

Computational Evaluation of Cloud HPC with a Global Atmospheric Model

Daniel Arevalo from DeVine Consulting gave this talk at the HPC User Forum. “Prompted by DoD priorities for modernization, cost savings, and redundancy, this project compared the performance of the NAVGEM on an in-house Cray system against the follow cloud offerings: AWS c4.8xlarge, Penguin B30 queue, Azure H16r, and AWS c5n.18xlarge.”

NVIDIA to Accelerate Machine Learning on VMware Cloud

Today NVIDIA and VMware announced plans to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications.