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AI Critical Measures: Time to Value and Insights

AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights.  Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering.

2019: The Year of PCI Express 4.0

Computer systems are about to get a whole lot faster. This year starting at the high end of the market a transition will begin toward systems based on PCI Express 4.0. The interconnect speed will double to 64GB/sec in a 16 lane connection. Tim Miller, Vice President Strategic Development for One Stop Systems, explores the expected speed and innovation stemming from the introduction of PCI Express 4.0. 

Building the business case for Hybrid HPC Cloud

Over the past two years, we’ve seen a dramatic acceleration in cloud adoption for HPC. Intuitively cloud computing makes sense — it enables organizations to rent rather than buy expensive HPC hardware, deploy solutions faster, reduce capital investments, and focus on core competencies. Software company Univa highlights the reason behind the recent cloud adoption boom among the HPC community, and the benefits of the hybrid HPC cloud.

Achieving the Best QoE: Performance Libraries Accelerate Code Execution

The increasing consumerization of IT means that even staid business applications like accounting need to have the performance and ease of use of popular consumer apps. Fortunately, developers now have access to a powerful group of libraries that can instantly increase application performance – with little or no rewriting of older code. Here’s a quick rundown of Intel-provided libraries and how to get them.

Intel High-Performance Python Extends to Machine Learning and Data Analytics

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for Python, included in Intel® Parallel Studio XE 2019, the numerical and scientific computing capabilities of high-performance Python now extends to machine learning and data analytics.

Making Computer Vision Real Today – For Any Application

With the demand for intelligent vision solutions increasing everywhere from edge to cloud, enterprises of every type are demanding visually-enabled – and intelligent – applications. Up till now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance. That’s changed with the introduction of Intel’s Distribution of OpenVINO toolkit.

The Best Software-Defined Network for the Best Network Efficiency (or Getting Ready for Exascale)

Software-Defined Networking (SDN) is a concept that has emerged in recent years to decouple network control and forwarding functions. The one network type that does not require special effort to adjust it to the computational needs of high-performance computing, deep learning or any other data intensive application is InfiniBand. In this guest article, Mellanox Technologies’ Gilad Shainer and Eitan Zahavi explore Infiniband networks and the benefits and potential of software-defined networking. 

Advancement in AI & Machine Learning Calls For New HPC Solutions

High performance computing has gone through numerous shifts in the past few years. The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. A new report from Lenovo explores the intersection of HPC and AI, as well tips on how to choose the right HPC provider for your enterprise. 

Python Power: Intel SDK Accelerates Python Development and Execution

It was with one goal – accelerating Python execution performance – that lead to the creation of Intel Distribution for Python, a set of tools designed to provide Python application performance right out of the box, usually with no code changes required. This sponsored post from Intel highlights how Intel SDK can enhance Python development and execution, as Python continues to grow in popularity.

The Inaugural Singularity User Group Meeting: Registration Open Now

The San Diego Supercomputer Center (SDSC) and Sylabs have teamed up to bring the Community its first ever meeting of the Singularity User Group (SUG). Singularity has become what it is today through the engagement of users, developers, and providers that have collectively developed a sense of community around the software and its ecosystem. Read on as Ian Lumb, Technical Writer at Sylabs, shares the origins of the new annual Singularity User Group Meeting.