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CIQ Empowers Researchers to Innovate Faster with Fuzzball

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HPC architecture has been the same for the past 30 years; that all changes with Fuzzball. It frees individual researchers from infrastructure provisioning and management challenges, allowing them to focus on running their research jobs with the tools they already know.

ATLANTA, Aug. 28, 2024 /PRNewswire-PRWeb/ — Individual researchers focused on performing critical work in science and innovation can now converge on world-changing discoveries faster, owing to capabilities released today by CIQ in the Fuzzball computing and data management platform for performance intensive computing (PIC). CIQ, the company leading the next generation of software infrastructure, is shipping new capabilities in Fuzzball, giving individual researchers tools to access PIC resources faster and without having to learn and manage the arcane world of infrastructure provisioning and management.

We heard from customers and the community that researchers are burdened with becoming Linux and infrastructure experts in order to do their research and this is affecting their productivity and ability to meet their demands of innovation… that all changes with Fuzzball.

Fuzzball is research ready, with pre-built workflow templates that allow researchers to work with the tools they already depend upon. Examples include PyTorch, Stable Diffusion and Tensorflow for AI; OpenRadioss and GROMACS for simulation and modeling; RStudio Server and Jupyter Notebooks for programming; and MATLAB for broad scientific use cases.

Legacy high performance computing (HPC) infrastructure doesn’t stand up to today’s demands for PIC. The expansion of artificial intelligence and PIC into the enterprise has exacerbated the issue. End users (engineers, scientists, researchers, analysts, etc.) are running diverse and increasingly large and complex workloads that demand exponentially more computing power; modern, specialized hardware; and more optimized user interfaces. Today’s researchers are also running applications that benefit from containerization and rely on application interfaces that legacy systems were not designed to accommodate. Modern researchers also need PIC that performs well and securely across geographical distances, with easy portability and reproducibility.

In short, legacy HPC infrastructure does meet modern technical and business expectations and requirements for hardware, software and geographical workload distribution. Also, it lacks many of the critical advantages of cloud computing and automation and requires computer science expertise to use and manage. It can even require specialized knowledge to perform minimal functions like logging in. In contrast, Fuzzball is a modern, PIC platform that helps researchers maximize speed to innovation, no computer science degree required.

*Fuzzball opens up a new world of compute power and speed to innovation*

With Fuzzball, scientists and innovators no longer need specialized knowledge of computer systems to run their workloads. Fuzzball’s graphical user interface (GUI) abstracts away the complexity of workflow design and execution, helping researchers and engineers in a variety of fields and industries to rapidly deploy a workload without computer science expertise.

Fuzzball also eliminates the time innovators spend defining their research workloads, offering example workflows to help users get started. In addition, Fuzzball’s standardized, human-readable workload file format enables users to copy and paste workload files from one Fuzzball cluster to another without any rework.

“Over the two past years, CIQ has been working with customers in a limited preview of Fuzzball across enterprise and public sectors,” said Gregory Kurtzer, CEO of CIQ. “We heard from customers and the community that researchers are burdened with becoming Linux and infrastructure experts in order to do their research and this is affecting their productivity and ability to meet their demands of innovation. While organizations cumulatively have spent many billions of dollars for their computing resources, these systems are based on a legacy architecture and no longer meet the demands of today’s advanced use-cases. HPC architecture has been the same for the past 30 years; that all changes with Fuzzball.”

*Under the Hood: Fuzzball’s unique container-first approach to orchestrating systems, data and applications*

Traditional container orchestration platforms like Kubernetes assume that containerized processes are expected to run forever. This is great when building cloud-native web apps with microservice architecture, but the design falls over when you attempt to orchestrate jobs that have logical conclusions and depend on one another in unique ways.

In contrast, Fuzzball allows customers to build computing-focused workflows consisting of jobs pipelined together, all operating within their respective containerized environments. Job pipelines are constructed as acyclic graphs, and as a result pipelines can be linear, parallel or any combination of the two. Jobs themselves can also be serial, multi-system parallel (MPI, GasNet, etc.) or arrays. Customers describe the containers, resources and requirements that each job needs as well as the relationship between jobs. Jobs are submitted and monitored by the click of a button.

Another unique aspect of Fuzzball’s architecture is its approach to data management. Rather than depend on manual data movement, lifecycle and staging, Fuzzball automates data management while maintaining security policies and auditability. Fuzzball will ingress the required data for a given workflow into a file-based volume, and after the job completes, the resulting identified data can be egressed back into external file or object-based storage.

Fuzzball abstracts the infrastructure and automates the process of running complex workflows which drives efficiency of innovation, development and individuals while removing infrastructure-specific dependencies enabling greater levels of portability, cost effectiveness and collaboration.

*Availability*
Fuzzball is available today in on-premises deployments for researchers, engineers, scientists and innovators who want a modern PIC platform to speed the path to discovery and innovation.

*** To learn more about Fuzzball, read the blog.***
*** To schedule a demo of Fuzzball, sign up here. ***

About CIQ
CIQ builds secure, reliable and performant software infrastructure solutions at scale, with dedicated world-class services for a range of performance intensive computing and enterprise technologies. From the base operating system, through containers, orchestration, provisioning, high-end computing and cloud applications, CIQ works with every part of the technology stack enabling organizations to focus on their core competencies, driving business-transforming innovation. CIQ is the founding support and services partner of Rocky Linux and the creator of the next generation federated computing stack. For more information, please visit ciq.com.

Media Contact

Cristin Connelly, CIQ, 4049316752, cristin@cathey.co, www.ciq.com

View original content to download multimedia:https://www.prweb.com/releases/ciq-empowers-researchers-to-innovate-faster-with-fuzzball-302233290.html

SOURCE CIQ

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Jtibot Showcases Autonomous Outdoor Sweeping Innovation at Interclean Amsterdam 2026, Accelerating European Market Expansion

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AMSTERDAM, April 24, 2026 /PRNewswire/ — Jtibot, a developer of autonomous outdoor cleaning solutions, concluded a successful showcase at Interclean Amsterdam 2026, highlighting its focus on large-scale, AI-driven sweeping for industrial, municipal, and campus environments.

At Hall 8, Booth 538, Jtibot presented its autonomous outdoor sweeper designed for environments exceeding 10,000 sqm. Positioned between traditional equipment and emerging robotics, the system addresses the growing demand for more efficient and less labor-dependent outdoor cleaning operations.

During the exhibition, Jtibot attracted strong interest from European distributors and facility management professionals seeking scalable solutions for large-area maintenance. The company was also featured in an official media interview at the event, reflecting increasing attention toward autonomous technologies in the cleaning industry.

Jtibot’s approach centers on human-machine collaboration. By reducing repetitive manual work while maintaining operational flexibility, its systems support more sustainable and efficient facility management practices. This aligns with broader ESG (Environmental, Social, and Governance) priorities, including improved resource efficiency and enhanced working conditions.

Building on its presence at Interclean, Jtibot is currently advancing discussions with multiple European partners for regional distribution and deployment. The company is also in the final stage of a fleet procurement agreement valued at approximately $1.4 million, signaling early commercial traction in large-scale applications scenarios.

“As outdoor environments continue to grow in scale and complexity, automation is becoming essential,” said Steven, VP at Jtibot. “Our goal is not to replace people, but to empower them—making operations more efficient and labor more sustainable.”

Following Interclean Amsterdam 2026, Jtibot is actively expanding its European partner network and preparing for broader market deployment across key regions, as it accelerates its global commercialization strategy.

About Jtibot
Jtibot specializes in autonomous outdoor sweepers designed for large-scale environments. By combining AI-driven navigation with industrial-grade hardware, the company enables efficient, scalable, and sustainable cleaning operations worldwide.

Photo – https://mma.prnewswire.com/media/2965027/PR_image.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jtibot-showcases-autonomous-outdoor-sweeping-innovation-at-interclean-amsterdam-2026-accelerating-european-market-expansion-302752777.html

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2U Refinances and Raises Growth Capital

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ARLINGTON, Va., April 24, 2026 /PRNewswire/ — Many education technology companies spent 2024 and 2025 scaling back. New university partnerships slowed as institutions built internal capacity. Against that backdrop, 2U completed a growth recapitalization, with its existing owners putting growth capital into the business alongside a refinancing of its current credit facilities.

The question worth asking is: why now, and what did they see?

2U operates edX, a global online learning platform originally co-founded by Harvard and MIT that now reaches more than 100 million people through over 5,300 programs with 250-plus institutional and enterprise partners. Employees from more than 60% of Fortune 500 companies use edX for professional development. To date, over 76,000 people have graduated from 2U-powered degree programs from leading institutions, including UC Berkeley, Howard University, and Georgetown. The company has been privately held since completing a financial reorganization in 2024, and Kees Bol has served as CEO since January 2025.

Lincoln International, which advised 2U on the transaction exclusively, described the refinancing outcome: extended credit maturities, improved capital structure, and financial flexibility to continue executing on 2U’s long-range plan. Managing Director Alex Stevenson said the deal “reflects the confidence of 2U’s owners in the long-term value of the business.”

Confidence in what, exactly? The AI workforce training market. Skills in AI-affected roles are evolving 66% faster than average according to PwC research, and IDC has estimated that unfilled AI skills gaps could cost the global economy $5.5 trillion. Universities and enterprises are both trying to solve that problem, and both are looking for platforms with the breadth and accreditation backing to do it credibly.

2U’s partnerships are designed for exactly that. IBM’s six technical microcredentials on edX train the engineers and data scientists who build AI systems. Microsoft’s CxO Edge program, launched in late 2025, targets the C-suite executives who need to move from AI pilots to enterprise-wide adoption, part of a Microsoft presence on edX that has drawn over 40,000 learners in the past six months alone.. Oxford’s Faculty of Law program addresses governance: what board members and legal advisors need to understand about AI liability, compliance, and fiduciary responsibility. UC Berkeley’s Master of Information and Data Science (MIDS) online program prepares learners to shape the future of AI and data science with human-centered values and focuses on solving the world’s most pressing data challenges. Each program exists because a specific employer community identified a specific gap.

That’s the differentiation investors are backing. Generic online courses are abundant. Programs designed in partnership with IBM, Microsoft, UC Berkeley, and Oxford’s Faculty of Law and delivered on a platform with proven Fortune 500 adoption are not.

Credentials earned on 2U’s edX platform carry the academic standing of the issuing partner institutions. Its programs span executive education, professional certificates, microcredentials, and accredited online degree programs, all powered by 2U’s infrastructure but conferred by partner universities and institutions with their own accreditation.

HolonIQ data puts the broader trend in context: microcredentials grew from 7% of global online program offerings in 2022 to 19% by 2025. The shift toward stackable, job-aligned credentials, in addition to traditional degrees,  is real and accelerating. The global online education market is projected to exceed $200 billion as that trend matures. 2U’s decision to build depth in short-form, employer-designed AI training aligns directly with where learner demand is heading.

None of this is abstract for the organizations that use edX at scale. When a company needs to certify 500 engineers on AI development, or prepare its entire C-suite for a board presentation on AI governance, the platform’s reach and credential quality both matter. A certification backed by IBM and a degree from institutions such as Berkeley carries weight with hiring managers in a way a generic online course does not.

The refinancing extends 2U’s ability to keep building that catalog and the partnerships behind it. Stevenson framed it as giving the management team “the financial foundation to keep executing on its mission.” The mission, under Bol’s leadership, is straightforward: help universities and enterprises close the AI skills gap by meeting learners where they are, at the pace the market demands.

The investors who contributed growth capital made a bet that a platform that reaches 100 million people and has 250-plus partners, including IBM, Microsoft, UC Berkeley, and Oxford in its program portfolio, is better positioned to close that gap than any platform that would need to build from scratch.

Media Contact:
Kees Bol
social@2u.com 

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Autonomous Resource Corporation and Oak Ridge National Laboratory Partner to Accelerate AI-Enabled Defense Manufacturing at National Scale

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Strategic partnership combines ORNL’s supercomputing and advanced manufacturing expertise with ARC’s autonomous production platform to address critical defense industrial base shortfalls

OAK RIDGE, Tenn. and NEW YORK, April 24, 2026 /PRNewswire/ — Autonomous Resource Corporation (ARC), a Delaware corporation, and Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, today announced a Memorandum of Understanding (MOU) establishing a strategic public-private partnership to accelerate the on-demand manufacture of qualified, mission-critical components for U.S. national security applications.

The partnership combines ORNL’s HPC and manufacturing capability with ARC’s ARCNet distributed AI-manufacturing platform

The partnership — known as the Exascale Foundry — will combine ORNL’s computing and manufacturing capabilities with ARC’s ARCNet distributed manufacturing platform to create a closed-loop system for AI-enabled materials and manufacturing qualification and autonomous production at defense-relevant scale.

“The United States faces an urgent need to rebuild its manufacturing capacity for critical defense components,” said Bryan Wisk, CEO of ARC. “By combining ORNL’s world-leading computational, materials science, and manufacturing capabilities with our autonomous production infrastructure, we can compress manufacturing and qualification timelines from years to months and deliver manufactured parts at the volumes the warfighter needs.”

Partnership Highlights

Under the MOU, ARC will deploy advanced manufacturing equipment organized into seven production nodes connected to ORNL via ARC’s secure ARCNet infrastructure. ARC will expand capability through ORNL’s high-performance computing (HPC) resources.

ORNL will provide access to HPC expertise for simulation-driven materials characterization and qualification, along with technologies developed at the Manufacturing Demonstration Facility (MDF), the Department of Energy’s only large-scale, open-access advanced manufacturing facility. ORNL’s Peregrine AI software, which has analyzed over 1.9 million additive manufacturing layers, will be integrated into ARC’s production nodes for real-time adaptive control and quality assurance.

This partnership also supports DOE’s Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security and drive energy innovation. ARC and ORNL’s collective capabilities will help reenvision advanced manufacturing and industrial productivity, accelerate defense production and qualification, and secure critical supply chain elements.

“ORNL’s advanced manufacturing and computing capabilities are uniquely positioned to help accelerate the transition of laboratory-proven technologies into production-scale defense manufacturing,” said Moe Khaleel, ORNL associate laboratory director for National Security Sciences. “Partnering with ARC ensures we are transitioning our research into real production outcomes.”

The initial implementation will focus on high-temperature nickel superalloy turbine components for autonomous air vehicle engines using metal binder jetting technology, directly addressing demonstrated production bottlenecks in the U.S. defense supply chain.

ORNL Chief Manufacturing Officer Craig Blue added, “This partnership exemplifies the type of relationship necessary to build and grow domestic supply chains for our national security.”

About Autonomous Resource Corporation

ARC is a New York–headquartered corporation building and operating an AI-enabled, autonomous manufacturing platform for national security and critical infrastructure applications. ARC’s Autonomous Resource Controller Network (ARCNet) connects distributed production cells into a secure, federated manufacturing grid capable of producing qualified components at scale. ARC’s leadership team brings deep experience across defense technology, capital markets, materials science, and additive manufacturing at production scale.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. DOE’s Manufacturing Demonstration Facility at ORNL partners with more than 300 companies, spurring over $5.5 billion in economic growth. ORNL is managed by UT-Battelle, LLC for the U.S. Department of Energy’s Office of Science.

Media Contacts:

ARC: Bryan Wisk, Chief Executive Officer | bryan@autonomousresource.com | 929-523-3953

ORNL: Eric Swanson, National Security Sciences Communications Lead | swansonej@ornl.gov | 865-206-5794

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SOURCE Autonomous Resource Corporation

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