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Fuzzball Turns NVIDIA DGX Spark Into a Ready-to-Run AI Development and Inference Environment at Any Scale

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2 months ago

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Start tuning and serving AI models on a single DGX Spark with ready-made templates, then scale the same workflows to thousands of GPUs without a rebuild

RENO, Nev., June 30, 2026 /PRNewswire/ — CIQ, the enterprise software company behind Rocky Linux and the Fuzzball AI and HPC orchestration platform, today announced that its Fuzzball platform now delivers a production-ready AI compute and inference environment for the NVIDIA DGX Spark stack. AI teams get one consistent environment to develop, tune and deploy AI workloads on infrastructure they own and control. That environment runs the same way from a single Spark system to large GPU clusters and data-center infrastructure, with no rebuild as compute grows. NVIDIA DGX Spark is the first supported platform, with additional platforms planned.

The challenge teams now face is that before any model reaches production, AI teams must spend months assembling storage, container registries, schedulers, inference servers and deployment pipelines by hand. That assembly restarts every time the underlying compute changes, turning every infrastructure upgrade into a project that delays workload deployment and monetization.

Fuzzball replaces this with a ready-to-run AI compute and inference environment, designed specifically for private, local inference on DGX Spark. For organizations building sovereign AI workloads where data cannot leave the premises, that means a path from private model tuning to production inference that maintains control of the infrastructure underneath it. The time between a model idea and a running inference service compresses from months to days.

“Fuzzball is the Kubernetes of performance-intensive computing, and it is what AI teams have needed to truly own their infrastructure. The hard part of AI has never been the model. It has been operating that model at scale without rebuilding everything underneath it every time compute changes, and most teams spend months on that problem before a single workload reaches production. Fuzzball ends that. With hundreds of built-in workflow templates, a single DGX Spark becomes a complete environment for AI development, testing and validation from day one, and those same workflows run unchanged across thousands of systems and GPUs. CIQ stands for controlling intelligence. Fuzzball is how teams actually do it,” said Gregory Kurtzer, CEO and founder of CIQ and founder of Rocky Linux.

With Fuzzball, a single DGX Spark becomes a fully operational AI development and deployment environment from day one, with a direct path to larger infrastructure when the project demands it. Multiple DGX Spark systems can work together under a common Fuzzball environment, giving small teams a practical way to expand local compute capacity incrementally. When workloads grow beyond local capacity, the same containers, model assets and workflow definitions seamlessly move onto larger NVIDIA GPU deployments allowing you to scale from NVIDIA DGX Spark to NVIDIA GB300 NVL72 without changes to the application, Fuzzball orchestration model, or Fuzzball deployment process.

For AI teams and HPC teams that have historically managed separate toolchains, Fuzzball eliminates the operational split that slows AI from experimentation to production across the enterprise. Fuzzball bridges local DGX Spark systems and existing HPC clusters with cloud capacity and large GPU infrastructure including NVIDIA GPU systems, all under a single operational model. The result is a new generation of accelerated computing where job-based orchestration, workflow portability, containerized execution and production inference work together.

“Organizations in regulated industries have had to choose between moving AI to production and keeping data on infrastructure they control. That has never been an acceptable tradeoff. Fuzzball removes it. Teams can tune models privately on DGX Spark, operationalize those models as production inference services and expand onto larger controlled infrastructure without changing the environment underneath their work. For sovereign AI to be practical it has to run the same way at every compute tier, and that is exactly what Fuzzball on DGX Spark delivers. DGX Spark is the first platform this runs on, and it will not be the last,” said Bjorn Hovland, president of CIQ.

To see Fuzzball in action, join CIQ’s upcoming webinar, “How to deploy your own LLM and take it to production with Fuzzball” on Thursday, July 16, 2026 at 12pm PDT / 3pm EDT. Register at https://events.ciq.com/fuzzball-inferencing-ai-workload.

About CIQ

CIQ is the founding support and services partner for Rocky Linux and a leading provider of Enterprise Linux infrastructure. CIQ delivers commercially supported Linux offerings, high-performance computing solutions, and AI infrastructure to enterprises, government agencies, research institutions and supercomputing centers worldwide. CIQ’s products include the Rocky Linux from CIQ (RLC Pro) family of operating systems, Ascender Pro for IT automation, Fuzzball job-based container orchestration, Warewulf cluster provisioning and Apptainer, the leading container system for high-performance computing. For more information, visit ciq.com.

Media Contact:
Cristin Connelly
Cathey Communications for CIQ
cristin@cathey.co

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SOURCE CIQ

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SBVA Appoints Two Global Investment Veterans as Venture Partners to Strengthen Portfolio Growth Support

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14 minutes ago

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August 27, 2026

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– Two former SoftBank Vision Fund investment professionals join SBVA, expanding its global network across the U.S., Japan, and Southeast Asia
– SBVA to deepen support for portfolio companies, from identifying promising companies globally to supporting their expansion into overseas markets

SEOUL, South Korea, Aug. 26, 2026 /PRNewswire/ — SBVA (CEO: JP Lee) announced today that it has appointed two former SoftBank Vision Fund investment professionals, Kaz Yoshimaru and Chris Lee, as Venture Partners. The appointments will further strengthen SBVA’s global investment capabilities and expand its support for portfolio companies entering overseas markets and growing their businesses.

Kaz Yoshimaru holds a Bachelor of Laws and a Master of Public Administration (MPA) from the University of Tokyo, as well as an MBA from Harvard Business School. He joined SoftBank Group in 2015 and later served as an Investment Director at SoftBank Vision Fund, investing in global technology companies as part of its U.S. investment team. He invested in leading technology companies including Databricks, Wiz, Perplexity, and Sierra, while supporting their expansion into Japan and helping bridge Silicon Valley and Asia.

As a Venture Partner at SBVA, Yoshimaru will leverage his expertise and network across the U.S. technology and venture ecosystem to support a range of initiatives. He will also lead strategic advisory and structuring efforts for a new fund focused on investing in U.S. startups.

Chris Lee earned a bachelor’s degree in Economics from the University of Chicago. He later worked at CVC Capital Partners and GIC before serving as a Partner at SoftBank Vision Fund. With extensive experience in private equity and growth equity, Lee led investments in major high-growth companies across Asia, including Yanolja, Carro, Advance Intelligence Group, bKash, IYUNO, and Funding Societies, building deep investment expertise and networks across the region.

At SBVA, Chris Lee will help identify co-investment opportunities in Southeast Asia and support new fund formation, while also helping portfolio companies enter and expand in local markets.

“Kaz and Chris bring extensive investment experience and networks built through identifying and supporting innovative companies across global markets,” said JP Lee, CEO of SBVA. “We expect their addition to further strengthen SBVA’s role as a bridge between the global technology ecosystem and Asian markets.”

View original content to download multimedia:https://www.prnewswire.com/news-releases/sbva-appoints-two-global-investment-veterans-as-venture-partners-to-strengthen-portfolio-growth-support-302860264.html

SOURCE SBVA

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Joget Introduces Agent Lab, a Program Helping Businesses Build AI Agents Without Code

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1 hour ago

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August 26, 2026

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New community initiative invites businesses to submit real workflow challenges for a free, expert-built AI agent, with selected builds shown live in an exclusive webinar.

COLUMBIA, Md., Aug. 26, 2026 /PRNewswire/ — Joget, Inc., the global innovator of the open-source, enterprise agentic AI application platform, today announced the launch of Joget Agent Lab, a community-driven initiative that builds a working AI agent for selected businesses at zero cost.

Any organisation can submit a bottleneck or manual process, along with how they’d want an agent to solve it, through the Agent Lab submission form. Joget’s product team reviews the entries, selects the strongest use cases, and builds and tests a working prototype for each one.

The finished agents are then unveiled in a live webinar, where Joget walks through the build step by step, including the prompts and tools used, so participants leave knowing exactly how to attempt the same build themselves.

“We hear the same thing from businesses across every industry: they know exactly where AI could save them time, but building an agent still feels like something you need a developer for,” said Raveesh Dewan, President and CEO of Joget.

“Agent Lab takes that assumption apart in public. We build the agent, we show our work, and by the end of the webinar you know how to do it yourself on our platform.”

Joget Agent Lab is open to:

Business leaders and managers looking to automate repetitive tasks and free up their teamsIT professionals and developers exploring how quickly they can prototype AI agents on a live platformProcess owners and analysts searching for a practical fix to a workflow that has outgrown manual handling

How it works

Submit an idea. 
Describe a bottleneck or manual process, and how an agent could solve it.

Joget builds it. 
The product team reviews submissions and prototypes an agent for the ideas selected.

Watch it live. 
Participants join a webinar to see the finished build and learn how to replicate it.

The agents built through the programme run on Joget AI Agent Builder, a no-code tool that lets both technical and non-technical users design agents visually, test them before deployment, and keep a human in the loop for approval.

Businesses looking to move faster on app development more broadly can pair this with Joget AI Composer, which builds and edits forms, lists, workflows, and interfaces through conversation, with every change staying visible and editable inside Joget’s visual builders rather than hidden in generated code.

The webinar is a teaching session, not a takeaway app. Participants who want to rebuild what they saw will need to bring their own LLM API key, the same bring-your-own-key model used across Joget’s AI tools. This approach gives businesses the freedom to connect with their own LLM provider, and puts them in control of their existing data and privacy.

Businesses that want to go further than a single prototype and build full-scale apps and agents that match their enterprise environment will need a Joget platform subscription. Joget’s team is available after the webinar to walk businesses through both.

Submissions for Joget Agent Lab are open now.

Media Contact: pr@joget.com 

About Joget

Joget offers an open-source, enterprise Agentic AI application platform that converges no-code/low-code development with AI agents to help organizations rapidly build and customize enterprise applications at scale. By combining AI agents with visual app builders, not raw code, Joget makes app generation faster, safer, and more accessible for business users and developers alike.

With Generative AI and Agentic AI capabilities, Joget Intelligence enables organizations to automate and enhance processes while maintaining oversight and compliance.

Through Vibe Composition, Joget enables AI-assisted application development where AI interprets business intent and assembles applications using governed, pre-validated composable components. Unlike typical AI code generation, Joget’s visual-first approach ensures applications remain maintainable and governed within collaborative human workflows.

As an Application and Integration Fabric, Joget connects legacy and modern systems seamlessly. Its extensible, open-source core and plugin architecture offer unmatched flexibility, and its White Label solution allows OEMs and digital solution providers to fully rebrand the platform.

Trusted by startups, global enterprises, and government agencies, Joget delivers the speed of AI with the control of visual development for scalable, intelligent digital transformation.

Visit www.joget.com and follow us on LinkedIn, X, Facebook, or YouTube.

 

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SOURCE Joget

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Mitrade Sponsors World Snooker Tour With Shared Values of Composure, Confidence & Calculation for Australian Traders

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1 hour ago

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August 26, 2026

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MELBOURNE, Australia, Aug. 27, 2026 /PRNewswire/ — Mitrade is sponsoring the World Snooker Tour (WST) for the 2026/27 season as Official Trading Partner, aligning its brand with a sport built on composure and sustained focus under pressure. Snooker demands discipline and total concentration from a player facing a shifting table — qualities that reflect the broker’s advocacy for responsible, informed trading.

This partnership lands as Mitrade’s growth accelerates. The group reported that since January 2026, active trading clients increased 54% year on year, while the number of trades rose 79% and total lots traded grew 148%. This sponsorship gives Mitrade a platform to deepen engagement with a growing community of traders and fans, extending that reach onto a wider international stage.

“We are proud to back WST, where an Australian talent has made his mark on the world stage,” said Elven Jong, CEO of Mitrade AU. “Composure, confidence and calculation go hand in hand, whether you’re at the table or in the markets. Every decision carries some risk, and the skill is knowing how much to take on, then staying steady while you do it. That’s the discipline we build into how we operate as a broker.”

“We are delighted to welcome Mitrade to the World Snooker Tour,” said Peter Wright, Chief Commercial Officer of WST. “This is a significant partnership with a dynamic global brand, and we are excited about working together across our European events. Snooker and Mitrade both demand confidence and the ability to make the right decisions under pressure. We look forward to seeing Mitrade become a prominent part of the WST throughout the season.”

Mitrade’s involvement with WST kicks off at the British Open in Cheltenham on 31 August 2026.

About Mitrade 
Mitrade is an award-winning CFD trading platform founded in Melbourne, trusted by 7M+ traders worldwide. It operates under top-tier financial regulators—Australia’s ASIC (AFSL398528), Cyprus’ CySEC (CIF438/23), UAE’s CMA (License No. 20200000397), Cayman Islands’ CIMA (SIB1612446), South Africa’s FSCA (54842), and Mauritius’s FSC (GB20025791)—delivering a secure, seamless, and intuitive trading experience. 

The platform provides 1,000+ CFDs on indices, forex, commodities, ETFs, and shares. Mitrade redefines trading with millisecond execution, razor-thin spreads, robust risk management, and multi-device compatibility. 

Trading involves risks. This article is for informational purposes only and does not constitute financial advice, an offer, or a solicitation. 

Visit https://www.mitrade.com for more information.

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SOURCE Mitrade Group

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