NetApp, Nvidia Supercharge Deep Learning with New AI Architecture

August 1, 2018

SUNNYVALE, Calif., Aug. 1, 2018 — NetApp, the data authority for the hybrid cloud, today introduced NetApp ONTAP AI proven architecture, powered by NVIDIA DGX supercomputers and NetApp AFF A800 cloud-connected all-flash storage to simplify, accelerate, and scale the data pipeline across edge, core and cloud for deep learning deployments and to help customers achieve real business impact with AI.

Although many organizations are adopting new AI platforms, tools, and practices, most don’t have enough control over their distributed data stores to ensure that complete, current, and accessible data is available for their AI projects. Success with AI depends on a business’s approach to data. To be effective in today’s AI use cases and future-proof a business for new AI applications, organizations must achieve visibility into and control of their data, from edge to core to cloud.

“Companies of all sizes and across various industries are making significant inroads in using AI to solve real-life problems, especially in the enterprise. However, while very exciting, AI models and workloads are not easy to deploy, and many organizations are struggling,” said Ritu Jyoti, program vice president, IDC. “The NetApp ONTAP AI proven architecture is a powerful solution that will help users accelerate AI-driven business outcomes and overcome deployment obstacles.”

“Developing disruptive AI technology and turning this into breakthrough products and services for our customers is a vital requirement across many markets we work in,” said Monty Barlow, head of artificial intelligence, Cambridge Consultants. “NetApp ONTAP AI powered by NVIDIA DGX supercomputers and NetApp all-flash storage is simplifying and accelerating the data pipeline for deep learning.”

“Organizations everywhere are making significant investments in AI, but they often lack the infrastructure required to optimize their data for AI projects and scale their applications and workflows to create the business impact they expect,” said Octavian Tanase, senior vice president, ONTAP, NetApp. “NetApp’s cloud-connected data solutions and new proven architecture with NVIDIA DGX create a single data environment for AI. This gives customers the control, access, and performance they need to provide the right data at the right time at the right location to their AI applications – all at scale and all integrated, managed, and protected by the NetApp Data Fabric.”

By leveraging the NetApp Data Fabric, ONTAP AI enables enterprises to create a seamless data pipeline that spans from the edge to the core to the cloud. This pipeline integrates diverse, dynamic, and distributed data sources, with complete control and protection. With massive processing power and capacity, ONTAP AI removes performance bottlenecks and enables secure, nondisruptive access to data from multiple sources and data formats.

“The combination of NVIDIA DGX and NetApp all-flash arrays meets the infrastructure challenges of today’s AI deployments,” said Jim McHugh, vice president and general manager of Deep Learning Systems at NVIDIA. “NVIDIA’s leadership in AI and GPU computing, combined with NetApp’s innovation in all-flash storage systems, gives customers a faster way to deploy AI with proven performance and a simplified operations model.”

ONTAP AI is a joint NetApp and NVIDIA proven architecture offering that combines the world’s most powerful GPU solutions with the world’s fastest and most cloud-connected flash systems and software.

Features and benefits include:

  • Deploy easily. Get started faster with AI by eliminating design complexity and guesswork.
  • Scale without limits. Organizations that are starting out with deep learning can begin with a 1:1 configuration and scale out as their data grows, to a 1:5 configuration and beyond.
  • Operate with confidence. High-availability solution design with redundant storage and network and server connections.

An Ecosystem of Solution Partners

ONTAP AI is available through channel partners, including:

“As long as we have partnered with NetApp, their products have been able to adapt to address the challenges around data that come with major technological advances. AI is a key component to building modern applications that are engaging, real time, and distributed. NetApp ONTAP AI and Data Fabric make it easier to leverage data wherever it is, to build and deploy powerful AI-powered applications,” said Mark Kelly, chief strategy officer at ePlus. “ONTAP AI simplifies ongoing operations and accelerates time to results. With our AI expertise and track record in converged infrastructure, we can help customers focus less on infrastructure and more on driving outcomes from their deep learning environments.”

“Customers want an AI solution that allows them to start small and grow. ONTAP AI provides a proven architecture to help them achieve that goal,” said Manohar Vellala, practice manager, Data and Analytics at Groupware Technology. “Our customers can now deploy a powerful, highly available deep learning configuration validated by NetApp and NVIDIA with the headroom to grow with their needs.”

“IAS is excited to be a launch partner for the ONTAP AI proven architecture,” said Amy Rao, CEO of IAS. “Moving large datasets from edge to core or core to cloud is becoming impractical, and customers are looking for ways to maximize data value independent of location. The Data Fabric—combined with NetApp cloud-connected all-flash technology and NVIDIA GPU-assisted compute and all packaged in a prevalidated configuration—gives customers the choice, control, efficiency, and availability required for deep learning environments.”

“Customers deploying AI and deep learning are looking for ways to reduce their time to outcomes. A highly available and powerful deep learning environment ensures that data scientists stay productive,” said Bob Olwig, vice president of Corporate Business Development, WWT. “ONTAP AI is a proven architecture from NetApp and NVIDIA that complements WWT’s broad portfolio of solutions and services for deep learning, giving customers an AI stack that can be implemented quickly with higher efficiency and lower risk.”

About NetApp

NetApp is the data authority for hybrid cloud. We provide a full range of hybrid cloud data services that simplify management of applications and data across cloud and on-premises environments to accelerate digital transformation. Together with our partners, we empower global organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation, and optimize their operations. For more information, visit www.netapp.com.


Source: NetApp

Subscribe to HPCwire's Weekly Update!

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

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announced its second fund targeting €200 million. The very idea th Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. In a way, Nvidia is the new Intel IDF, the hottest chip show Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in its cloud service.  Google claimed the CPU is based on cut Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire