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Tag: GPU

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ANSI specs, while e Read more…

SQream Raises Funds to Expand its Analytics Push

SQream Technologies, the GPU database vendor, has attracted new investors while adding several financial backers to its board of directors. The Tel Aviv-based database vendor said Wednesday (June 24) it raised $39.4 m Read more…

Nvidia Destroys TPCx-BB Benchmark with GPUs

Editor's note: TPC announced on January 27, 2021, that the benchmark tests claimed by Nvidia, as described in this story, are a violation of its fair use policy.  Traditionally, vendors have used CPU-based systems fo Read more…

Solar Data Analytics Approaches Warp Speed

Data scientists at NASA are employing GPU-powered workstations and local storage to greatly accelerate analysis of images captured by the Solar Dynamic Observatory. Launched in 2010 to probe our yellow dwarf star and Read more…

Spark 3.0 to Get Native GPU Acceleration

NVIDIA today announced that it’s working with Apache Spark’s open source community to bring native GPU acceleration to the next version of the big data processing framework. With Spark version 3.0, which is due out n Read more…

Deep Learning Has Hit a Wall, Intel’s Rao Says

The rapid growth in the size of neural networks is outpacing the ability of hardware to keep up, said Naveen Rao, vice president and general manager of Intel's AI Products Group, at the company’s AI Summit yesterday. S Read more…

OmniSci ‘Hitting Its Stride,’ CEO Says

Aaron Williams, the vice president of community for OmniSci, loves doing live demos. Like a trapeze artist who works without a net, Williams shows no fear as stands on the stage and fires off queries from OmniSci's GUI c Read more…

Inside OmniSci’s Plans for Data Analytics Convergence

You may know OmniSci as the provider of a fast SQL-based database that runs on GPUs. But the company formerly known as MapD is moving beyond its GPU roots and is building a data platform that runs on CPUs and does machin Read more…

HPE Pins AI Hopes on Services

HPE, like all the system vendors, has big plans to sell massive amounts of compute capability to companies to run machine learning and deep learning workloads that help transform their businesses. But the tech firm is ta Read more…

Booz Allen Gives Government a Deep Learning Edge

The latest breakthroughs in deep learning technology have emanated from places like Silicon Valley and Toronto, where Turing Award-winner Geoffrey Hinton did his seminal work. But deep learning applications today are fin Read more…

Why CTOs Should Reconsider FPGAs

Big data analytics adoption has soared in recent years. According to a 2018 market study, use of the technology has grown from 17 percent in 2015 to 59 percent in 2018, reaching a compound annual growth rate (CAGR) of 36 Read more…

What’s Behind SAS’s $1-Billion AI Investment

SAS's announcement last week that it plans to invest $1 billion in artificial intelligence over the next three years may have taken some by surprise. The Cary, North Carolina company, after all, is the standard-bearer fo Read more…

How Walmart Uses Nvidia GPUs for Better Demand Forecasting

During a presentation at Nvidia's GPU Technology Conference (GTC) this week, the director of data science for Walmart Labs shared how the company's new GPU-based demand forecasting model achieved a 1.7% increase in forec Read more…

Nvidia Sees Green in Data Science Workloads

We already knew that GPUs are useful for lots of things besides making Fortnite uncomfortably realistic. All the biggest supercomputers in the world use GPUs to accelerate math, and more recently they've been used to pow Read more…

The ‘Big Bang’ of Data Science and ML Tools

The tools used for data science are rapidly changing at the moment, according to Gartner, which said we're in the midst of a "big bang" in its latest report on data science and machine learning platforms. "The data sc Read more…

In Search of a Common Deep Learning Stack

Web serving had the LAMP stack, and big data had its SMACK stack. But when it comes to deep learning, the technology gods have yet to give us a standard suite of tools and technologies that are universally accepted. Desp Read more…

Predictions for Application Development in 2019

Application development has become a cloud-focused initiative in many enterprises. Consequently, the languages, tools, and platforms needed to support today’s development initiatives are rapidly evolving. Applicatio Read more…

2018: A Big Data Year in Review

As 2018 comes to a close, it's worth taking some time to look back on the major events that occurred this year in the big data, data science, and AI space. There's a lot that occurred – and a lot that we chronicled in Read more…

Deep Learning Taking Over HPC, But It’s Good for Business Too

Be prepared for a heavy dose of deep learning if you're on the floor of the Supercomputing 2018 show this week in Dallas, Texas, where the scientific community will demonstrate how neural network-powered AI applications Read more…

Nvidia Platform Pushes GPUs into Machine Learning, High Performance Data Analytics

GPU leader Nvidia, generally associated with deep learning, autonomous vehicles and other higher-end AI-related workloads (and gaming, of course), is mounting an open source end-to-end GPU acceleration platform and ecosy Read more…

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