Nvidia Charts AI Inroads, Inference Challenge at DC Event

By George Leopold

November 2, 2017

As developers flock to artificial intelligence frameworks in response to the explosion of intelligence machines, training deep learning models has emerged as a priority along with syncing them to a growing list of neural and other network designs.

All are being aligned to confront some of the next big AI challenges, including training deep learning models to make inferences from the fire hose of unstructured data.

These and other AI developer challenges were highlighted during this week’s Nvidia GPU technology conference in Washington. The GPU leader uses the events to bolster its contention that GPUs—some with more than 5,000 CUDA cores—are filling the computing gap created by the decline of Moore’s Law. The other driving force behind the “era of AI” is the emergence of algorithm-driven deep learning that is forcing developers to move beyond mere coding to apply AI to a growing range of automated processes and predictive analytics.

Nvidia executives demonstrated a range of emerging applications designed to show how the parallelism and performance gains of GPU technology along with the company’s CUDA programming interface complement deep learning development. Nvidia said Wednesday (Nov. 1) downloads of the CUDA API have doubled over the past year to 2 million.

“Becoming the world’s AI [developer] platform is our focus,” asserted Greg Estes, Nvidia’s vice-president for developer programs. Buttressing that strategy, the company also this week announced expansion of its Deep Learning Institute to address the growing need for more AI developers.

As it seeks to put most of the pieces in place to accelerate AI development, Nvidia has also pushed GPU technology into the cloud with early partners such as Amazon Web Services. The company’s GPU cloud seeks to create a “registry” of tools for deep learning development. Estes added that the company has taken a hybrid cloud approach in which the deep learning registry runs in the cloud or on premises while deep learning frameworks such as Tensor Flow can be delivered via application containers.

Last week Amazon became the first major public cloud provider to offer the top-shelf Nvidia Tesla Volta GPUs.

As the deep learning ecosystem comes together, Estes argued in a keynote address that the training of models to infer from huge data sets loom large. “AI inference is the next great challenge,” he argued. “It turns out the problem is pretty hard.” The scale of the challenge was illustrated by this statistic: There are an estimated 20 million inference servers currently crunching data to make inferences that run the gamut from educated guesses to reliable predictions.

Estes ticked off a growing list of emerging network designs that underpin current deep learning development, ranging from convolutional networks for visual data and recurrent nets for speech recognition to reinforcement learning and generative adversarial networks (in which two opposing networks seek to “fool” the other to, for example, spot a forgery).

Hence, Nvidia and its growing list of cloud and developer partners have been laboring to apply GPU parallelism and deep learning frameworks like TensorFlow to accelerate model training. The company released the latest version of its TensorRT AI inference software last month. The combination of Tesla GPUs and CUDA programmability are designed to “accelerate the growing diversity and complexity of deep neural networks,” Nvidia CEO Jensen Huang asserted.

Nvidia also uses its roadshows to demonstrate its GPU capabilities versus current CPUs. An inferencing example was intended to back its GPU performance claims. The demonstration involved sorting through aerial photos that were labeled according to land uses such as agriculture of an airstrip.

The company claims its approach could map an area the size of New Mexico in a day while a CPU platform would require three months to sort and organize the aerial photos.

Emerging deep learning tools could be applied to applications such as remote sensing and other satellites imagery where emerging vendors are struggling to sift through hundreds of petabytes of data.

Nvidia partner Orbital Insights Inc. said it is combining satellite imagery with deep learning tools for applications like determining crop yields and urban planning. CEO James Crawford said it is using GPUs and deep learning tools such as convolutional models to process images taken by synthetic aperture radars that are able to see through clouds.

As part of an effort to quantify Chinese energy output, the San Francisco-based startup trained a neural network to spot the natural gas flares associated with fracking. Among the unintended but valuable finds delivered by the deep learning model was uncovering details of China’s industrial capacity, including the number of blast furnaces used in steel production.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

LRZ Adds Mega AI Aystem as It Stacks up on Future Computing Systems

May 25, 2022

The battle among high-performance computing hubs to stack up on cutting-edge computers for quicker time to science is getting steamy as new chip technologies become mainstream. A European supercomputing hub near Munich, called the Leibniz Supercomputing Centre, is deploying Cerebras Systems' CS-2 AI system as part of an internal initiative called Future Computing to assess alternative computing... Read more…

Nvidia Launches Four Arm-based Grace Server Designs

May 25, 2022

Nvidia is lining up Arm-based server platforms for a diverse range of HPC, AI and cloud applications. The new systems employ Nvidia’s custom Grace Arm CPUs in four different configurations, including a Grace Hopper HGX Read more…

Nvidia Bakes Liquid Cooling into PCIe GPU Cards

May 24, 2022

Nvidia is bringing liquid cooling, which it typically puts alongside GPUs on the high-performance computing systems, to its mainstream server GPU portfolio. The company will start shipping its A100 PCIe Liquid Cooled GPU, which is based on the Ampere architecture, for servers later this year. The liquid-cooled GPU based on the company's new Hopper architecture for PCIe slots will ship early next year. Read more…

Durham University to Test Rockport Networks on COSMA7 Supercomputer

May 24, 2022

Durham University’s Institute for Computational Cosmology (ICC) is home to the COSMA series of supercomputers (short for “cosmological machine”). COSMA—now in its eighth iteration, COSMA8—has been working to an Read more…

SoftIron Measures Its Carbon Footprint to Make a Point

May 24, 2022

Since its founding in 2012, London-based software-defined storage provider SoftIron has been making its case for what it calls secure provenance: a term that encompasses the company’s rigorous accounting of the supply Read more…

AWS Solution Channel

Shutterstock 1044740602

DTN Doubles Weather Forecasting Performance Using Amazon EC2 Hpc6a Instances

Organizations in weather-sensitive industries need highly accurate and near-real-time weather intelligence to make adept business decisions. Many companies in these industries rely on information from DTN, a global data, analytics, and technology company, for that information. Read more…

TACC Adds Details to Vision for Leadership-Class Computing Facility

May 23, 2022

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin passed to the next phase of the planning process for the Leadership-Class Computing Facility (LCCF), a process that has many approval stage Read more…

LRZ Adds Mega AI Aystem as It Stacks up on Future Computing Systems

May 25, 2022

The battle among high-performance computing hubs to stack up on cutting-edge computers for quicker time to science is getting steamy as new chip technologies become mainstream. A European supercomputing hub near Munich, called the Leibniz Supercomputing Centre, is deploying Cerebras Systems' CS-2 AI system as part of an internal initiative called Future Computing to assess alternative computing... Read more…

Nvidia Launches Four Arm-based Grace Server Designs

May 25, 2022

Nvidia is lining up Arm-based server platforms for a diverse range of HPC, AI and cloud applications. The new systems employ Nvidia’s custom Grace Arm CPUs in Read more…

Nvidia Bakes Liquid Cooling into PCIe GPU Cards

May 24, 2022

Nvidia is bringing liquid cooling, which it typically puts alongside GPUs on the high-performance computing systems, to its mainstream server GPU portfolio. The company will start shipping its A100 PCIe Liquid Cooled GPU, which is based on the Ampere architecture, for servers later this year. The liquid-cooled GPU based on the company's new Hopper architecture for PCIe slots will ship early next year. Read more…

Durham University to Test Rockport Networks on COSMA7 Supercomputer

May 24, 2022

Durham University’s Institute for Computational Cosmology (ICC) is home to the COSMA series of supercomputers (short for “cosmological machine”). COSMA— Read more…

SoftIron Measures Its Carbon Footprint to Make a Point

May 24, 2022

Since its founding in 2012, London-based software-defined storage provider SoftIron has been making its case for what it calls secure provenance: a term that en Read more…

ISC 2022: International Association of Supercomputing Centers to Debut

May 23, 2022

At ISC 2022 in Hamburg, Germany, representatives from four supercomputing centers across three countries plan to debut the International Association of Supercom Read more…

ANL Special Colloquium on The Future of Computing

May 19, 2022

There are, of course, a myriad of ideas regarding computing’s future. At yesterday’s Argonne National Laboratory’s Director’s Special Colloquium, The Future of Computing, guest speaker Sadasivan Shankar, did his best to convince the audience that the high-energy cost of the current computing paradigm – not (just) economic cost; we’re talking entropy here – is fundamentally undermining computing’s progress such that... Read more…

HPE Announces New HPC Factory in Czech Republic

May 18, 2022

A week ahead of ISC High Performance 2022 (set to be held in Hamburg, Germany), supercomputing heavyweight HPE has announced a major investment in sovereign Eur Read more…

Nvidia R&D Chief on How AI is Improving Chip Design

April 18, 2022

Getting a glimpse into Nvidia’s R&D has become a regular feature of the spring GTC conference with Bill Dally, chief scientist and senior vice president of research, providing an overview of Nvidia’s R&D organization and a few details on current priorities. This year, Dally focused mostly on AI tools that Nvidia is both developing and using in-house to improve... Read more…

Royalty-free stock illustration ID: 1919750255

Intel Says UCIe to Outpace PCIe in Speed Race

May 11, 2022

Intel has shared more details on a new interconnect that is the foundation of the company’s long-term plan for x86, Arm and RISC-V architectures to co-exist in a single chip package. The semiconductor company is taking a modular approach to chip design with the option for customers to cram computing blocks such as CPUs, GPUs and AI accelerators inside a single chip package. Read more…

AMD/Xilinx Takes Aim at Nvidia with Improved VCK5000 Inferencing Card

March 8, 2022

AMD/Xilinx has released an improved version of its VCK5000 AI inferencing card along with a series of competitive benchmarks aimed directly at Nvidia’s GPU line. AMD says the new VCK5000 has 3x better performance than earlier versions and delivers 2x TCO over Nvidia T4. AMD also showed favorable benchmarks against several Nvidia GPUs, claiming its VCK5000 achieved... Read more…

In Partnership with IBM, Canada to Get Its First Universal Quantum Computer

February 3, 2022

IBM today announced it will deploy its first quantum computer in Canada, putting Canada on a short list of countries that will have access to an IBM Quantum Sys Read more…

Supercomputer Simulations Show How Paxlovid, Pfizer’s Covid Antiviral, Works

February 3, 2022

Just about a month ago, Pfizer scored its second huge win of the pandemic when the U.S. Food and Drug Administration issued another emergency use authorization Read more…

Nvidia Launches Hopper H100 GPU, New DGXs and Grace Superchips

March 22, 2022

The battle for datacenter dominance keeps getting hotter. Today, Nvidia kicked off its spring GTC event with new silicon, new software and a new supercomputer. Speaking from a virtual environment in the Nvidia Omniverse 3D collaboration and simulation platform, CEO Jensen Huang introduced the new Hopper GPU architecture and the H100 GPU... Read more…

PsiQuantum’s Path to 1 Million Qubits

April 21, 2022

PsiQuantum, founded in 2016 by four researchers with roots at Bristol University, Stanford University, and York University, is one of a few quantum computing startups that’s kept a moderately low PR profile. (That’s if you disregard the roughly $700 million in funding it has attracted.) The main reason is PsiQuantum has eschewed the clamorous public chase for... Read more…

Nvidia Dominates MLPerf Inference, Qualcomm also Shines, Where’s Everybody Else?

April 6, 2022

MLCommons today released its latest MLPerf inferencing results, with another strong showing by Nvidia accelerators inside a diverse array of systems. Roughly fo Read more…

Leading Solution Providers

Contributors

D-Wave to Go Public with SPAC Deal; Expects ~$1.6B Market Valuation

February 8, 2022

Quantum computing pioneer D-Wave today announced plans to go public via a SPAC (special purpose acquisition company) mechanism. D-Wave will merge with DPCM Capital in a transaction expected to produce $340 million in cash and result in a roughly $1.6 billion initial market valuation. The deal is expected to be completed in the second quarter of 2022 and the new company will be traded on the New York Stock... Read more…

Intel Announces Falcon Shores CPU-GPU Combo Architecture for 2024

February 18, 2022

Intel held its 2022 investor meeting yesterday, covering everything from the imminent Sapphire Rapids CPUs to the hotly anticipated (and delayed) Ponte Vecchio GPUs. But somewhat buried in its summary of the meeting was a new namedrop: “Falcon Shores,” described as “a new architecture that will bring x86 and Xe GPU together into a single socket.” The reveal was... Read more…

Industry Consortium Forms to Drive UCIe Chiplet Interconnect Standard

March 2, 2022

A new industry consortium aims to establish a die-to-die interconnect standard – Universal Chiplet Interconnect Express (UCIe) – in support of an open chipl Read more…

India Launches Petascale ‘PARAM Ganga’ Supercomputer

March 8, 2022

Just a couple of weeks ago, the Indian government promised that it had five HPC systems in the final stages of installation and would launch nine new supercomputers this year. Now, it appears to be making good on that promise: the country’s National Supercomputing Mission (NSM) has announced the deployment of “PARAM Ganga” petascale supercomputer at Indian Institute of Technology (IIT)... Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

Facebook Parent Meta’s New AI Supercomputer Will Be ‘World’s Fastest’

January 24, 2022

Fresh off its rebrand last October, Meta (née Facebook) is putting muscle behind its vision of a metaversal future with a massive new AI supercomputer called the AI Research SuperCluster (RSC). Meta says that RSC will be used to help build new AI models, develop augmented reality tools, seamlessly analyze multimedia data and more. The supercomputer’s... Read more…

Nvidia Acquires Software-Defined Storage Provider Excelero

March 7, 2022

Nvidia has announced that it has acquired Excelero. The high-performance block storage provider, founded in 2014, will have its technology integrated into Nvidia’s enterprise software stack. Nvidia is not disclosing the value of the deal. Excelero’s core product, Excelero NVMesh, offers software-defined block storage via networked NVMe SSDs. NVMesh operates through... Read more…

Nvidia Announces ‘Eos’ Supercomputer

March 22, 2022

At GTC22 today, Nvidia unveiled its new H100 GPU, the first of its new ‘Hopper’ architecture, along with a slew of accompanying configurations, systems and Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire