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NVIDIA Offers Framework to Solve AI System Challenges

At the recent NVIDIA GPU Technology Conference (GTC) 2018, Jensen Huang, NVIDIA President and CEO, during his presentation focused on a new framework designed to contextualize the key challenges using AI systems and delivering deep learning-based solutions. A new white paper sponsored by NVIDIA outlines these requirements — coined PLASTER.

Bing Uses NVIDIA GPUs, Tech to Enhance Object Detection and Image Search

Object detection and image search is seen as the next big thing when it comes to the search sector. And it’s easy to see why. A new white paper from NVIDIA explores how Bing deployed NVIDIA GPUs and technology to speed up object detection and visual search capabilities.

Why Demand for In-Memory Computing Platforms Keeps Growing

The demand for in-memory computing (IMC) and new IMC platforms continues to grow. What’s pushing this growth as new products like the GridGain in-memory computing platform hit the market? Download the new white paper from GridGain that explores this topic and covers what’s next for in-memory computing.

Why IMC Is Right for Today’s Fast-Data and Big-Data Applications

In-memory computing, or IMC, is being used for a variety of functions, including fintech and ecommerce to telecommunications and IoT, as it becomes well known for success with processing and analyzing big data.  Download the new report from GridGain, “Choosing the Right In-Memory Computing Solution,” to find out whether IMC is the right choice for your business. 

GridGain In-Memory Computing Platform Delivers Speed and Scalability

The GridGain In-Memory computing platform works to deliver speed and scalability for your large data needs. The platform is built on the Apache Ignite open source project. Download the new white paper today, “Introducing the GridGain In-Memory Computing Platform,” to find out if GridGain is the right choice for you. 

What a 200G HDR InfiniBand Solution Means for Today’s Advanced Data Centers

The world of today’s HPC computing is driven by the ever-increasing generation and consumption of digital information. And the ability to analyze this rapidly growing pool of data, and extrapolate meaningful insights, gives modern businesses a competitive edge. Download the full report, “Introducing 200G HDR InfiniBand Solutions,” to learn about how Mellanox Technologies end-to-end 200G HDR InfiniBand solution is helping enable the next generation of data centers.

HDR 200G InfiniBand: Empowering Next Generation Data Centers

The need for faster data movement has never been more critical to the worlds of HPC and machine learning. In light of this demand, companies like Mellanox Technologies are working to introduce solutions to address the need for HPC and deep learning platforms to move and analyze data both in real-time and at faster speeds than ever.Download the new white paper from Mellanox that explores the company’s end-to-end HDR 200G InfiniBand product portfolio and the benefits of in-network computing.

How Deep Learning is Causing a ‘Seismic Shift’ in the Retail Industry

 These days, taking big data further and integrating machine and deep learning means having a competitive edge in the retail industry. Analytics — and their analysis — have always been a cornerstone of retail success. And now, deep learning techniques are going to push the data boom to the next level. A new insideHPC special report, courtesy of Dell EMC and NVIDIA, explores how the retail industry is being transformed by machine and deep learning.

Top 10 HPC White Papers for 2017: Machine Learning, AI, the Cloud & More

Many of the top 10 2017 HPC white papers deal with the next steps in the HPC journey, including moving to the cloud, and discovering the potential of machine learning and AI. The most downloaded reports of the year were written with industry partners such as Red Hat, Dell EMC, Intel, HPE and more.

AI Systems Designed to Learn in a Limited Information Environment

In a special report, Intel offers details on use cases that explore AI systems and those designed to learn in a limited information environment. “AI systems that can compete against and beat humans in limited information games have great potential, because so many activities between humans happen in the context of limited information such as financial trading and negotiations and even the much simpler task of buying a home.”