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Intel offers up AI Developer Resources in the Cloud

Today at the O’Reilly Artificial Intelligence Conference in San Francisco, Intel’s Lisa Spelman announced the Intel Nervana DevCloud, a cloud-hosted hardware and software platform for developers, data scientists, researchers, academics and startups to learn, sandbox and accelerate development of AI solutions with free compute cloud access powered by Intel Xeon Scalable processors. By providing compute resources for machine learning and deep learning training and inference compute needs, Intel is enabling users to start exploring AI innovation without making their own investments in compute resources up front. In addition to cloud compute resources, frameworks, tools and support are provided.

The AI Revolution: Unleashing Broad and Deep Innovation

For the AI revolution to move into the mainstream, cost and complexity must be reduced, so smaller organizations can afford to develop, train and deploy powerful deep learning applications. It’s a tough challenge. The following guest article from Intel explores how businesses can optimize AI applications and integrate them with their traditional workloads. 

Video: The Future of High Performance Interconnects

Ashrut Ambastha from Mellanox gave this talk at the HPC Advisory Council Australia conference. “Ashrut will review Co-Design collaborations with leaders in industry, academia, and manufacturing – and how they’re taking a holistic system-level approach to fundamental performance improvements expanding the capabilities of network as a new “co-processor” for handling and accelerating application workloads, dramatically improving application performance.”

Panel Looks at ARM’s Advance towards HPC

In this video from the ARM Research Summit, industry thought leaders discuss the challenges, opportunities, and technical hurdles for the ARM architecture to thrive in the HPC market. “The panel will focus on Arm in HPC, Software & Hardware differentiation and direction for exascale and beyond, thoughts on accelerators, and more!”

Machine & Deep Learning: Practical Deployments and Best Practices for the Next Two Years

Arno Kolster from Providentia Worldwide gave this talk at the HPC User Forum in Milwaukee. “Providentia Worldwide is a new venture in technology and solutions consulting which bridges the gap between High Performance Computing and Enterprise Hyperscale computing. We take the best practices from the most demanding compute environments in the world and apply those techniques and design patterns to your business.”

Kubernetes Meets HPC

“While the notion of packaging a workload into a Docker container, publishing it to a registry, and submitting a YAML description of the workload is second nature to users of Kubernetes, this is foreign to most HPC users. An analyst running models in R, MATLAB or Stata simply wants to submit their simulation quickly, monitor their execution, and get a result as quickly as possible.”

New OrionX Survey: Insights in Artificial Intelligence

In this Radio Free HPC podcast, Dan Olds and Shahin Khan from OrionX describe their new AI Survey. “OrionX Research has completed one the most comprehensive surveys to date of Artificial Intelligence, Machine Learning, and Deep Learning. With over 300 respondents in North America, representing 13 industries, our model indicates a confidence level of 95% and a margin of error of 6%. Covering 144 questions/data points, it provides a comprehensive view of what customers are doing and planning to do with AI/ML/DL.”

Call for Participation: GTC 2018 in San Jose

The GPU Technology Conference (GTC 2018) has issued their Call for Participation. The event takes place March 26-29 in San Jose, California. “Don’t miss this unique opportunity to participate in the world’s most important GPU event, NVIDIA’s GPU Technology Conference (GTC 2018). Sign up to present a talk, poster, or lab on how GPUs power the most dynamic areas in computing today—including AI and deep learning, big data analytics, healthcare, smart cities, IoT, HPC, VR, and more.”

Vanguard Infrastructures Teams with Cray for Cybersecurity

Today announced that the Company has signed a solutions provider agreement with Vanguard Infrastructures in order for Vanguard to develop, market, and sell on premise and cloud-as-a-service cybersecurity solutions that fuse supercomputing technologies with an open, enterprise-ready software framework for big data analytics. Vanguard has also purchased a Cray Urika-GX system.

The Intel Scalable System Framework: Kick-Starting the AI Revolution

Like many other HPC workloads, deep learning is a tightly coupled application that alternates between compute-intensive number-crunching and high-volume data sharing. Intel explores how the Intel Scalable System can act as a solution for a high performance computing platform that can run deep learning workloads and more.