Panasas Survey Shows Specialty Knowledge as Biggest Challenge for Managing High-Performance Storage

February 22, 2023

SAN JOSE, Calif., Feb. 22, 2023 — Panasas today announced results of a global survey on the challenges enterprises face in building and managing storage infrastructure for high-performance applications. Lack of specialty knowledge coupled with high resource needs was the most frequently ranked challenge (over 50% of respondents).

The findings result from an independent survey by Vanson Bourne of hundreds of IT decision makers within enterprises with more than 1,000 employees across the US, UK, and Germany. Results reflect feedback across a broad range of industries, including financial services, manufacturing, commercial, retail, and more.

Intersect360 Research forecasts that the high-performance computing (HPC) sector will continue to grow at a healthy rate, with HPC budgets expected to reach $59.2 billion by 2026 at a 7.7% compound annual growth rate (CAGR). This growth is further fueled by convergence of HPC with AI/ML and the role these technologies play in helping enterprises gain better insights to support business objectives. However, harnessing the power of HPC and AI/ML comes with new challenges. IT teams must have the tools and the people in place to manage the high-performance storage required to support current applications. As such, organizations must ensure that the storage infrastructure selected is scalable and versatile enough to successfully support future applications at scale.

Survey results show an overwhelming 96% of respondents across the US, UK, and Germany face challenges in building and managing high-performance storage. In addition to over half of respondents (52%) citing specialty knowledge as the top challenge, other key findings include:

  • Nearly 50% of respondents across all three regions cited high maintenance costs and high acquisition costs as premier challenges at 45% and 43% respectively.
  • Respondents from IT, tech, and telecom sector selected high maintenance costs as a challenge (44%) compared to high acquisition costs (36%).
  • 39% of respondents across all regions stated that it is time consuming to juggle multiple storage systems to cater for different high-performance workloads, while 38% find it time consuming to tune the overall infrastructure for each workload.
  • US respondents across manufacturing organizations (68%) cited specialty knowledge and high resources needs as the biggest challenge.
  • US respondents across financial services organizations (53%) cited storage infrastructure to support application scalability as the most common challenge.
  • With high resource needs and specialty knowledge for performance storage configuration and management cited as the biggest challenge across all industries, it was ranked highest among these industries: business and professional services sector (61%) followed by the manufacturing sector (60%) and the IT, tech, and telecoms sector (57%).

“We know what it takes to successfully manage HPC and AI/ML data storage environments and the critical role these bandwidth-intensive applications play in supporting business growth,” said Jeff Whitaker, VP of Product Strategy and Marketing at Panasas. “We long ago saw the challenges organizations face in managing storage infrastructures for high-performance environments, and these survey results reinforce those challenges. Our PanFS software suite demonstrates our commitment to delivering simple, reliable solutions that support multiple HPC and AI/ML applications from a single storage platform. Customers gain the necessary insight into data movement and usage patterns to ensure optimal workload performance across the enterprise and into the high-performance computing world.”

Panasas solutions reduce TCO and address the simplicity, reliability, and scalability challenges survey recipients noted in managing their high-performance storage infrastructure. Global organizations across multiple industries leverage Panasas to support their most innovative HPC and AI/ML projects. The company’s PanFS parallel file system software suite improves data visibility and mobility for high-performance workloads, ensuring optimal performance in the most data-intensive environments. The plug-and-play Panasas storage solution is packaged within trusted hardware components to eliminate the specialty knowledge challenge cited by survey recipients as no training is required, empowering IT teams to play a more strategic role within their business.

Addressing Customer HPC and AI/ML Storage Challenges

The Garvan Institute of Medical Research is widely recognized for its genomics expertise and aims to improve clinical practices such as assessing cancer risk and diagnosing children with intellectual disabilities. The company is known for its willingness to adopt new technology and needed a solution to boost genomics data performance levels while minimizing installation and maintenance time requirements to reduce IT complexity and boost the productivity of 80 internal researchers. “Panasas lives up to its promise of terrific performance with negligible maintenance and administration time,” said Dr. Warren Kaplan, Chief of Informatics at Garvan Institute of Medical Research.

According to an IT leader at one of the largest industrial manufacturing companies in Europe, “Once Panasas is up and running, you just forget about it, which is exactly what we need.” Another customer in the professional services industry noted, “Even when we bring on additional data, Panasas still performs exactly as we would expect. We can count on the solution to handle everything we can throw at it. That helps us meet our deadlines and ensure that clients get the information they need.”

The School of Arts, Technology and Emerging Communications (ATEC) at the University of Texas at Dallas invests in the next generation of media and entertainment professionals. “Every six to 12 months, it seems that render practices and technologies change, increasing our file sizes. Panasas storage provides the scalability and high-speed processing necessary to finish even the most complex projects in a timely way,” said Todd Fechter, Professor at School of ATEC at the University of Texas at Dallas. Fechter estimates that students now have one-third more time to work on their projects, because they no longer have to wrangle each image computer by computer. More efficient project rendering allows students to finish even the most complex projects in a timely way.

About Panasas

Panasas builds a portfolio of data solutions that deliver exceptional performance, unlimited scalability, and unparalleled reliability – all at the best total cost of ownership and lowest administrative overhead. The Panasas data engine accelerates AI and high-performance applications in manufacturing, life sciences, energy, media, financial services, and government. The company’s flagship PanFS parallel file system and ActiveStor storage solutions uniquely combine extreme performance, scalability, and security with the reliability and simplicity of a self-managed, self-healing architecture. The Panasas data engine solves the world’s most challenging problems: curing diseases, designing the next jetliner, creating mind-blowing visual effects, and using AI to predict new possibilities.


Source: Panasas

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!

Weekly Wire Roundup: July 8-July 12, 2024

July 12, 2024

HPC news can get pretty sleepy in June and July, but this week saw a bump in activity midweek as Americans realized they still had work to do after the previous holiday weekend. The world outside the United States also s Read more…

Nvidia, Intel not Welcomed in New Apple AI and HPC Development Tools

July 12, 2024

New Mac developer tools will leverage Apple's homegrown chips, limiting HPC users' ability to use parallel programming frameworks from Intel or Nvidia. Apple's latest programming framework, Xcode 16, was introduced at Read more…

Virga: Australia’s New HPC and AI Powerhouse

July 11, 2024

Australia has officially added another supercomputer to the TOP500 list with the implementation of Virga. Officially coming online in June 2024, Virga is the newest HPC system to come out of the Australian Commonwealth S Read more…

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and implementation phases of the Quantum Quantum Science and Technolo Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the software, and selecting the best user interface. The National Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three of the 10 highest-ranking Top500 systems, but some other ne Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced

July 5, 2024

Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems.  T Read more…

Point and Click HPC: High-Performance Desktops

July 3, 2024

Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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…

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…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top 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…

Leading Solution Providers

Contributors

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l 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…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire