Indiana University to Deploy Jetstream 2 Cloud with AMD, Nvidia Technology

By Tiffany Trader

June 2, 2020

Indiana University has been awarded a $10 million NSF grant to build ‘Jetstream 2,’ a cloud computing system that will provide 8 aggregate petaflops of computing capability in support of data analysis and AI workloads for Indiana University and across the Extreme Science and Engineering Discovery Environment (XSEDE). On track to be deployed later this year at IU and four partner sites, Jetstream 2 will be supplied by Dell, and powered by AMD next-generation Epyc “Milan” CPUs and Nvidia A100 GPUs.

Jetstream 2 follows up on the original Jetstream infrastructure, launched in 2015 as NSF’s first production science and engineering research cloud system. The mission of Jetstream will continue: improving HPC access to the so-called long tail of science, supporting domain scientists and engineers who typically have limited access to HPC resources and limited expertise.

The Jetstream project is part of IU’s Pervasive Technology Institute and led by UITS Research Technologies with participation from the Cyberinfrastructure Integration Research Center and the Center for Applied Cybersecurity Research. Other named partners include the University of Arizona, Johns Hopkins University, and the University Corporation for Atmospheric Research.

Like the original Jetstream, Jetstream 2 will be distributed over multiple sites. The primary system will be located at Indiana University, and four smaller systems will be installed at partnering institutions: Arizona State University, Cornell University, the University of Hawai’i, and the Texas Advanced Computing Center. Vendor partner Dell will supply the computing clusters with AMD and Nvidia technology and 18.5 petabytes of storage. The infrastructure is a significant expansion on the original Jetstream, which provides about 500 teraflops of computing performance and 2 petabytes of block and object storage.

In addition to the NSF system award of $10 million, IU expects to receive an additional $10 million in NSF funding to build and operate Jetstream 2 over five years. The official start date for the project is October 1, 2020.

“We intend Jetstream 2 to be a democratizing force within the NSF ecosystem, allowing researchers and educators access to cutting-edge resources regardless of project scale,” said David Y. Hancock, Jetstream 2 principal investigator and director for Advanced Cyberinfrastructure in IU’s University Information Technology Services. “‘AI for everyone’ is a term we’ve coined to embrace that idea. Through the use of virtual infrastructure, we will be able to provide more access to high-end technologies to enable deep learning and artificial intelligence techniques.”

“Jetstream 2 is a system that will be easy to expand and reconfigure, and capable of supporting diverse modes of on-demand access and use,” notes the NSF award abstract. The system’s virtual GPU capabilities and broad reach through the five partner sites are cited as keys to building skills and experience across student populations of all disciplines and developing a future STEM workforce.

“The Jetstream team has been at the forefront of training the research community to transition from batch computing methods to adopt cloud-style usage,” the notice states. “Jetstream 2 will continue this path and will ease the transition between academic and commercial cloud computing. Some of the advanced features include push-button virtual clusters, advanced high-availability science gateways services (including commercial cloud integration), federated authentication for JupyterHubs, bare metal and virtualization within the same system through programmable CI, support for on-demand data intensive workloads in addition to on-demand computation, high-performance software-defined storage, and advanced multi-platform orchestration capabilities.”

“Jetstream 2 builds on the tremendous success of the original Jetstream system at IU and with our partners,” said Brad Wheeler, IU vice president for IT. “It bundles computation, software, and access to storage for individuals and teams of researchers who span hundreds of areas of research and who work at the frontiers of scientific inquiry. It further expands IU’s many technology and research partnerships across the nation.”

With nearly $14 million in NSF backing under the original 2014 award, the Jetstream project has supported thousands of U.S. researchers and is being leveraged in the fight against the global coronavirus pandemic as part of the COVID-19 HPC Consortium.

For more information and comments from stakeholders, see the IU press release.

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!

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks.  These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvidia GPUs). Recently, MLCommons introduced the results of i Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago today emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever physical processor they want, without making code changes, the Read more…

IBM Quantum Summit Evolves into Developer Conference

October 2, 2024

Instead of its usual quantum summit this year, IBM will hold its first IBM Quantum Developer Conference which the company is calling, “an exclusive, first-of-its-kind.” It’s planned as an in-person conference at th Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed that the company will release Falcon Shores as a GPU. The com Read more…

Texas A&M HPRC at PEARC24: Building the National CI Workforce

October 1, 2024

Texas A&M High-Performance Research Computing (HPRC) significantly contributed to the PEARC24 (Practice & Experience in Advanced Research Computing 2024) conference. Eleven HPRC and ACES’ (Accelerating Computin Read more…

A Q&A with Quantum Systems Accelerator Director Bert de Jong

September 30, 2024

Quantum technologies may still be in development, but these systems are evolving rapidly and existing prototypes are already making a big impact on science and industry. One of the major hubs of quantum R&D is the Q Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks.  These benchmarks have focused on mathematical ML operations and accelerators (e.g., N Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago today emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever ph Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed t Read more…

How GenAI Will Impact Jobs In the Real World

September 30, 2024

There’s been a lot of fear, uncertainty, and doubt (FUD) about the potential for generative AI to take people’s jobs. The capability of large language model Read more…

IBM and NASA Launch Open-Source AI Model for Advanced Climate and Weather Research

September 25, 2024

IBM and NASA have developed a new AI foundation model for a wide range of climate and weather applications, with contributions from the Department of Energy’s Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Building the Quantum Economy — Chicago Style

September 24, 2024

Will there be regional winner in the global quantum economy sweepstakes? With visions of Silicon Valley’s iconic success in electronics and Boston/Cambridge� Read more…

How GPUs Are Embedded in the HPC Landscape

September 23, 2024

Grasping the basics of Graphics Processing Unit (GPU) architecture is crucial for understanding how these powerful processors function, particularly in high-per Read more…

Shutterstock_2176157037

Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after 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…

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…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr 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…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor 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…

Leading Solution Providers

Contributors

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…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu 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…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced  export controls on quantum computing technologies as well as new controls for advanced semiconductors and additiv Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire