CIQ announced the availability of federation capabilities in Fuzzball, their performance-intensive computing platform.
This release allows engineering teams and business analysts to easily connect, manage and share compute resources for all performance-intensive workloads (HPC and AI) that need to be deployed globally, across different sites, and even across hybrid/on-premises and public cloud infrastructures. Further, the team has also made the CIQ Fuzzball platform available on AWS, providing easier consumption and facilitating the use of elastic cloud computing resources.
Introduced last year, CIQ Fuzzball already helps individuals define, deploy and manage complex analytical jobs across these disparate compute resources, freeing them to focus on solving problems rather than spending valuable time managing infrastructure. Often, however, the virtual resources and physical infrastructure they require can also span clusters, availability zones, regions, geographies and even clouds, and this has been a challenge.
The new federation capabilities in Fuzzball address the complexities of hybrid infrastructure head-on. Now, organizations can define resource pools across zones, regions and clouds, and Fuzzball intelligently deploys jobs to an appropriate cluster based on workload requirements. Fuzzball evaluates the compute, data and storage requirements of the workflow against the resources available and then dispatches the workflow to a suitable cluster for execution. In an environment where AI is driving nearly every company to face performance-intensive computing challenges, this approach not only simplifies delivery of these jobs but also allows analysts and engineers to address the challenges of and take advantage of hybrid cloud, on-premises infrastructure.
"From the very beginning, Fuzzball was architected as a hybrid computing platform and this new capability unlocks workload execution across on-premises and cloud resources, a key milestone in the evolution of Fuzzball," said Gregory Kurtzer, founder and CEO of CIQ. "Federation allows Fuzzball to now automate the deployment of jobs based on a sophisticated analysis of architecture, resources, cost and data-centric policies so that you no longer need to manually evaluate and choose the optimal environment for each workload. This is the first of many features designed to provide unparalleled hybrid flexibility in Fuzzball."
Federation allows users to develop in the cloud and then deploy on expensive GPU or CPU resources on-premises or in the cloud in order to save costs. Conversely, some may choose to develop locally and then deploy to the cloud for scale. Either way, Fuzzball allows users to do this without modification to code or management of the underlying environment. It allows for Fuzzball to deliver optimal performance, whether prioritizing speed, cost-effectiveness or time-to-completion.
CIQ has also announced availability of Fuzzball on AWS allowing users to easily experiment with and deploy analytical and performance-intensive workloads. This allows organizations to optimize or avoid the complexities and the capital expense of traditional, high-end on-premises environments and use their AWS environment as an option. This capability lets users deploy hybrid federation capabilities in Fuzzball to enable integration of existing on-premises resources with AWS for a cost-optimized, hybrid environment. Recognizing that some workloads may be more cost-effective to run on-premises, Fuzzball on AWS provides an option for on-demand and burst processing, giving organizations flexibility and cost optimization for these workloads.
CIQ Fuzzball is available on AWS today via the CIQ website.
The Latest
The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...
AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...
In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...
Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...
Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...
As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...