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CIQ Introduces New Release of Fuzzball

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.

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CIQ Introduces New Release of Fuzzball

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.

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A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...