Also Read: TD SYNNEX Unveils AI IaaS to Drive Faster Innovation

They will also see quicker value from their AI projects. This partnership shows a trend in the industry toward integrated systems. These systems reduce fragmentation in AI infrastructure management. “Organizations building AI infrastructure are looking for ways to simplify operations while maintaining performance and flexibility,” said Haseeb Budhani, CEO and co-founder of Rafay Systems. “DDN has long been recognized for its leadership in powering AI data infrastructure. We look forward to collaborating to support customers building the next generation of AI environments.”

Read More: Rafay Systems and DataDirect Networks Announce Collaboration to Support AI Infrastructure Deployments

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As infrastructure investment accelerates across fiber broadband, electric grid modernization, distributed energy, and AI-driven data center expansion, capital discipline has emerged as a defining concern. Traditional methods of data analysis and manual decision-making often hamper progress; consequently, deployment risk now translates directly into capital risk. Operators, utilities, and builders must reduce variance, accelerate cash conversion, and establish audit-grade accountability across increasingly complex, multi-asset deployments.

Render has steadily expanded its footprint as the system of execution for critical infrastructure. The platform transforms design data into live scopes of work, captures verified field progress in real-time, and reconciles workflows to maintain financial integrity – ultimately producing defensible as-built records that flow seamlessly into operations. Originally established in telecommunications, Render now supports electric utilities and multi-utility environments where construction accuracy is a direct prerequisite for operational reliability.

ClearWay represents the next evolution of that platform.

Rather than a collection of isolated AI features, ClearWay operates across a federated system of specialized agents designed to operate autonomously within strict identity, policy, and audit controls. Built for infrastructure environments where governance is non-negotiable, ClearWay advances automation without eroding engineering authority.

Each agent operates with a uniquely defined degree of autonomy, managed identity and least-privilege access. As additional ClearWay agents are introduced, the system supports progressively higher levels of autonomy, bounded by deterministic guardrails derived from user-defined operational policies. The result is seamless decision making underpinned by controlled, auditable automation that preserves first-order accountability while also enabling meaningful scale.

The first release of ClearWay scheduled for release this Spring, will introduce field assurance and work approval capabilities across telecom and electric deployments:

• The assurance agent: Validates field-captured evidence against planned work in real-time, ensuring accuracy before crews leave the site.
• The approval agent: Autonomously approves work based on a correlation of work type, planned vs. actual units, photos, and test results. When predefined criteria are met, the agent processes the approval and escalates exceptions only when human review is required.

By ensuring work is correct and defensible at the point of execution, ClearWay is designed to accelerate design to build lead times, reduce construction rework, accelerate closeout, and improve working capital velocity. This is particularly vital in broadband and grid modernization environments, where construction accuracy directly impacts serviceability, network reliability, and regulatory compliance.

Also Read: Pure Storage Named Leader in 2025 Gartner MQ for Infrastructure Platform Consumption Services

“ClearWay builds directly on our role as the system of execution for critical infrastructure,” said Stephen Rose, CEO of Render Networks. “We have always focused on ensuring that work in the field becomes verified operational truth. The next step is ensuring that truth drives disciplined, governed and rapid action across the lifecycle. As capital efficiency becomes central to telecom and electric infrastructure, automation must ensure rapid decisions are made well to reinforce control and accountability. ClearWay is designed to do exactly that.”

ClearWay is the newest pillar of the Render platform, designed to complement ClearSight, Render’s business intelligence and advanced analytics layer. Together, these pillars move teams from reactive execution to predictive infrastructure deployment by pairing agentic, next best action execution with the deep portfolio insights required to optimize capital at scale.

Looking ahead, Render will introduce additional specialized agents within the ClearWay architecture, spanning:

• Lifecycle management and financial reconciliation
• Service activation and operational monitoring
• Predictive maintenance and sustainability governance

Operating as a coordinated autonomous system, these agents will continuously align field activity, financial performance, and operational readiness under a single, auditable system of execution. Render will continue to share details on ClearWay’s capabilities and availability as the Spring release approaches.

Source: Businesswire

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These strategic additions strengthen Bentley’s position in delivering data-driven asset performance and resilience solutions across telecommunications, electric utilities, and other core infrastructure sectors. Bentley’s Asset Analytics portfolio already includes advanced tools such as OpenTower iQ for telecommunication towers and Blyncsy for roadway network insights. The integration of Talon and Pointivo technologies introduces deeper analytical capabilities, helping customers streamline digital workflows that support global 5G deployments and grid modernization initiatives.

Deepening AI and Digital Twin Integration

Talon Aerolytics brings no-code workflows and an AI-enabled platform that supports automated site surveys, recurring inspections, and asset digitization. This technology empowers organizations in wireless telecom, broadband, and electric utility sectors to enhance productivity and gain actionable insights on asset conditions through digital twin-driven analytics.

Rod Dir, chief executive officer of Talon, said, “Over the past decade, Talon has established itself as a trusted intelligent collaboration platform for managing asset lifecycles and analyzing infrastructure with our AI-enabled software. By joining Bentley Systems, we are poised to expand our global reach and enhance asset resilience through the integration of Bentley’s advanced engineering simulation capabilities.”

Klaus Metnitzer, head of deploy execution excellence and serviceability for North America at Nokia, commented, “At Nokia, delivering reliable and resilient networks for our customers and the communities they serve is a top priority. Our collaboration with Talon, leveraging their asset inspection and data intelligence capabilities alongside Nokia’s mobile network engineering and leadership, significantly strengthens this critical foundation. Together, these solutions empower our customers to manage their infrastructure more efficiently, respond rapidly to challenges, and ensure continuous connectivity when it matters most. Talon’s integration with Bentley further enhances our innovation together across infrastructure management workflows to support an integrated grid ranging from towers to distribution poles.”

Enhancing Visual Data Intelligence

The acquisition of Pointivo’s technology further accelerates Bentley’s Asset Analytics roadmap. Pointivo’s platform specializes in advanced drone data processing, geolocation, and AI-powered damage detection turning unstructured visual data into precise and actionable intelligence at scale.
Jacob Garland, Pointivo chief technology officer, added, “Our patented AI-driven inventory and damage detection technology was built to turn vast volumes of unstructured visual data into precise, trustworthy insights. Our team of experts has been at the forefront of advanced point-cloud processing, automated measurement and asset condition detection, and high-fidelity drone capture, all capabilities that naturally complement Bentley’s portfolio, including OpenTower iQ. Now as part of Bentley, our innovations will enable faster, more accurate intelligence at scale, helping asset owners and operators to detect issues earlier and keep critical infrastructure performing at its best.”
Reinforcing Bentley’s Asset Analytics Growth

Bentley Systems leadership highlighted the strategic value of these transactions in scaling the company’s Asset Analytics offerings through expanded AI deployment across infrastructure sectors. The combined solutions aim to support continuous inspections, improve operational performance, and reduce maintenance costs for infrastructure owners.

Also Read: ManageEngine Unveils MSP Central for Modern MSP Infrastructure 

James Lee, chief operating officer, Bentley Systems, said, “These acquisitions represent a major investment in scaling our Bentley Asset Analytics offering. By deploying AI across infrastructure sectors, we are enabling continuous inspections to improve operational performance and maintenance economics for asset owners. Talon effectively pioneered this business model, validated by its profitable growth and pipeline of enterprise-wide contracts. This move marks an important milestone, adding to our technical and business momentum and strengthening our leadership in the burgeoning market of Asset Analytics.”

Werner Andre, chief financial officer, Bentley Systems, said, “These 2025 acquisitions substantially underscore our ongoing capital allocation priority in Asset Analytics, catalyzing significant growth opportunities driven by AI within infrastructure operations and maintenance. With a revenue run rate of approximately $50 million in Asset Analytics, our platform consolidation investments are bolstering long-term double-digit growth in ARR, subscription revenues, and cash flows.”

Financial terms of the deals were not disclosed. Dechert LLP served as legal advisor to Bentley Systems in both transactions.

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Gartner defines the infrastructure platform consumption services (IPCS) market as a consumption-based, as-a-service offering for mission-critical infrastructure. IPCS-based offerings need to be native to the platform vendor control plane and must include either storage as a service (STaaS), compute as a service (CaaS) or network as a service (NaaS). They can also support data protection as a service (dPaaS).

According to Gartner, IPCS’s primary purpose is to provide a platform-services-based infrastructure to service the hybrid-cloud infrastructure data environment. SLA-based outcomes replace product-centric features with benefits that include asset cost optimization, productivity and efficiency improvements, sustainability, autonomous workload optimization, cyber resilience, and platform innovation capabilities.

“The Pure Storage platform performs well in every environment, giving customers the choice to build out their strategy using the tools they already trust,” said Prakash Darji, General Manager, Digital Experience, Pure Storage. “We uniquely support this optionality with binding, outcome‑based SLAs for availability, performance, energy efficiency, data durability, cyber resilience, and non‑disruptive upgrades – eliminating trade-offs between performance and predictability.”

Also Read: VergeIO Debuts VergeIQ: On-Prem AI for Every Enterprise 

The Pure Storage Platform

Pure Storage’s Enterprise Data Cloud architecture provides a unified architecture and operating model that delivers true end-to-end data control, automation, and cyber resilience. The Pure Storage Platform enables data mobility, agility, and consistency across distributed infrastructures for an enterprise’s full workload and protocol spectrum – unifying and governing data across every environment. Enhancements making it easier for organizations to streamline workflows across on-premises and cloud environments include:

• SLA Driven Data Management: With SLAs that span performance, availability, and resilience, delivered as a service and tightly integrated with real-time observability and intelligence, Pure Storage is redefining the enterprise cloud experience. Evergreen//One provides flexible consumption with the ability to scale up or down without penalties, as well as pricing that adapts to actual usage, not inflated projections. By eliminating the trade-offs between performance and predictability, customers gain financial flexibility and transparency.
• Increased AI Efficiency: For AI initiatives to succeed, data must be secure, easily accessible, and consistently managed in real-time and at scale, regardless of its location or the workload. The Pure Storage platform delivers this through an intelligent control plane. The brain of the Pure Storage platform is a single control layer that automates how data is provisioned, protected, and governed across an entire data estate. A key component of the intelligent control plane, Pure1 provides AIOps-driven storage management delivering proactive recommendations, forecasting, anomaly detection, troubleshooting, automation, self-service upgrades, and subscription insights.
• Extensive Partner Ecosystem: The Pure Storage platform also integrates with best-of-breed solutions from an extensive partner network. Spanning across hybrid cloud, AI, virtualization, cyber resilience, compute, network, and data center modernization, the Pure Storage ecosystem includes companies such as AWS, Cisco, CrowdStrike, Microsoft Azure, NVIDIA, Nutanix, Oracle, Rubrik, SAP, and Veeam.

An Industry Leader

This recent recognition from Gartner continues Pure Storage’s momentum of industry analyst recognition in 2025. In September, Pure Storage was recognized as a Leader in the 2025 Gartner® Magic Quadrant for Enterprise Storage Platforms, positioned Highest in Execution and Furthest in Vision². In our opinion, Pure Storage’s recognition in two Gartner Magic Quadrant reports this year reinforces what organizations around the world understand—Pure Storage delivers unmatched agility and risk reduction with a simple, unified storage platform and flexible as-a-service experience for the broadest range of uses across on-premises, public cloud, and hybrid environments.

• “As our focus has shifted to moving services to the cloud, we have found it useful to…use Pure’s services in the cloud. They make it easy, and the GUI and services are familiar. We know what to expect, and they have delivered.” – Storage Admin, Healthcare and Biotech Industry
• “The product is the best in the storage market and is very innovative. Every year Pure Storage brings new features to their customers that are included in Evergreen subscriptions.” – IT Manager, IT Services Industry
• “The Evergreen//One model is easy to understand and plan for. It allows for cost transparency and predictability.” – IT Manager, Manufacturing Industry

Source: PRNewswire

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How do you fix this? How do you make IT actually work for the business? That is where the Information Technology Infrastructure Library comes in. ITIL is a framework used around the world to guide IT teams. It is not a checklist. It helps connect everyday IT work to business results.

AXELOS offers ITIL 4 Foundation certifications and resources. They show organizations how to plan, deliver, and improve IT services in a way that really creates value. Using ITIL properly turns IT from a reactive function into a strategic part of the business. Teams can become faster, more stable, and actually make a difference.

Managing IT services today is not simple. The IT world is fast, and things change all the time. The information technology infrastructure library helps organizations keep IT running smoothly. It is a framework that guides teams through the lifecycle of IT services. The goal is clear. IT operations need to match business needs and deliver consistent service.

ITIL has changed a lot over time. ITIL 4 is different from the older ITIL v3 model. V3 focused mostly on processes. ITIL 4 focuses on the Service Value System. This system links what the business needs with how value is created. It is not rigid. Teams can adjust it and still make sure services actually help the business.

Cloud and IaaS make this even more important. Standardization and automation help teams reduce downtime and manage resources better. When IT teams follow ITIL principles, service delivery is more reliable even across multiple cloud environments.

IBM says ITIL has 34 best practices. These practices improve IT support and make sure IT serves the business. Guiding principles like Focus on Value and Start Where You Are remind teams to take practical steps. They encourage continuous improvement without making things unnecessarily complicated.

The ITIL 4 Framework and the Service Value System

The ITIL 4 framework is built around something called the Service Value System. It is basically a way to make sure IT delivers real value to the business. The idea is to take everything IT does, from the opportunities and demands the business has, and turn that into outcomes people care about. The SVS has several key components. It starts with understanding opportunity and demand. Then come the guiding principles that help teams make decisions. Governance makes sure things stay on track. The Service Value Chain is the heart of the system. Practices are the detailed steps teams follow. And finally, everything leads to creating actual value.

The Service Value Chain is where the work happens. It is made up of six activities. First, Plan, where teams figure out what needs to happen and align it with business goals.

Second, Engage, which is about talking to customers, users, and partners to understand their needs.

Third, Design and Transition, which focuses on building or improving services and moving them into use.

Fourth, Obtain and Build, which covers getting the technology, tools, and resources needed.

Fifth, Deliver and Support, where services are actually provided and problems are solved.

Sixth, Improve, which is about learning from experiences and making things better over time.

These steps are not rigid. Teams can adjust them depending on what makes sense for the situation.

Microsoft’s Service Manager is a good example of putting this into action. It relies on ITIL best practices for incident and problem management. It automates help desk operations allowing the team to quickly resolve problems and maintain smooth service. This indicates that ITIL principles can be used in contemporary IT settings.

In general, the SVS assists firms in deriving significance from a multifaceted compilation of IT tasks. It links the activities of IT to the values of the companies. By observing the value chain, governance rules, and guiding principles, the IT departments can direct their attention to the results instead of merely satisfying the requirements. This methodology is applicable in cloud and hybrid scenarios as it is flexible, adaptive, and concentrates on the actual output.

The Four Dimensions of Service Management

ITIL 4 does more than just give steps for IT teams to follow. It looks at IT service management from four angles to make sure organizations work as a whole. The first dimension is Organizations and People. This is about culture, structure, and having the right skills. Without the right people and the right way of working together, even the best IT framework will fail.

The second dimension is Information and Technology. ITIL helps manage information, data, and the technology stack. In cloud and IaaS environments, this includes tools for monitoring, automation, and keeping systems running smoothly. Good technology alone is not enough. Teams need to use it in the right way to make services reliable.

Value Streams and Processes are the third dimension. This focuses on how work flows through an organization to create value. It includes everything from incident handling to problem resolution and change management. Optimizing these processes ensures that IT contributes directly to business outcomes.

The last dimension is Partners and Suppliers. Many organizations rely on third-party vendors and cloud providers. ITIL provides guidance for managing these relationships so that external teams deliver consistently and in alignment with internal goals.

A practical example comes from Google Cloud. Their Resource Management with ServiceNow shows how asset discovery across multiple platforms can be automated. IT workflows can be integrated and managed efficiently, demonstrating ITIL principles in action. This shows that ITIL is not just theory. It helps teams organize, control, and improve service delivery across people, technology, processes, and partners.

Key Practices and Service Delivery Improvement

ITIL is not just a set of rules or ideas. It is meant to help teams actually make IT services work better. Incident Management is one of the most crucial perspectives. When an issue occurs or a device stops functioning, the intent is to return it to its normal state as quickly as possible. Each minute of unserviceable time counts, particularly in cloud or IaaS systems. Incident Management guarantees that the teams are able to react rapid-fire and thus maintain a continuous flow of services.

Problem Management looks deeper. It is not just about fixing things once. It tries to find the root cause of the problem. This way the same issue does not happen again. Teams look for patterns, check what went wrong, and put solutions in place that make the whole IT setup more stable over time.

Change Enablement is another big one. IT systems need updates, new features, and fixes. But changes can cause problems too. Having a standard way to handle changes reduces risks. The teams can carry out the changes safely by planning, approving, and rolling them out. This becomes even more critical in the IaaS environments where a minor error could impact multiple services simultaneously.

The process of Continual Improvement ensures that the organizations do not go backward. The teams spot the areas that need attention, come up with ways to improve, implement the plan, and evaluate the outcomes. Then they start the next cycle. This loop helps IT services keep up with business needs and deliver more value over time.

Microsoft works with ServiceNow to show how this looks in real life. They bring together old tools, automate help desk processes, and make workflows easier. This lets teams manage incidents, problems, and changes faster and more reliably. It also makes sure ITIL practices are used properly so services stay aligned with business goals.

Using these practices together, IT teams can do more than just react to problems. They can make services better, reduce risks, and focus on what matters most for the business.

ITIL as a Strategic Business Asset

The information technology infrastructure library is not just a set of rules or a certificate. It is a tool to help IT teams actually support the business. ITIL 4 gives a way to stay flexible while keeping services steady. It helps teams see how what they do every day affects real outcomes for the organization. Planning, responding, and delivering services all become clearer when ITIL is used right.

Following the framework is not enough. The whole organization has to be on board. As much as the methods, the culture, the habits, and the people working together count. The principles have to be used by the teams in their daily work and they should always be looking for improvement.

ENISA guidance on cybersecurity and risk management shows how ITIL fits with real-world rules. Using best practices under directives like NIS2 helps keep services safe and reliable. ITIL becomes more than a framework. It becomes a tool that delivers real value to the business and builds trust in IT.

The post Understanding the Information Technology Infrastructure Library (ITIL): A Comprehensive Guide appeared first on ITDigest.

Also Read: WatchGuard Launches Next-Gen Firebox M Series for Scalable MSP Security 

Francisco Criado, Senior Vice President of Cloud, Security, and AI at TD SYNNEX, emphasized the importance of providing partners with infrastructure that allows them to innovate with speed and efficiency. He stated, “Launching AI IaaS with an industry leader like Nebius helps us democratize the modern AI market and delivers the flexibility, scale, and cost advantages partners need to help enterprises realize the full potential of AI.” The service offers rapid access to new-generation GPU hardware, lower capital expenditures, predictable operational costs, high performance with lower total cost, flexible reserved-instance options, and the latest NVIDIA Blackwell GPU capacity. Nebius, a Reference Platform NVIDIA Cloud Partner, delivers infrastructure and services to accelerate the full AI pipeline, complementing TD SYNNEX’s model of serving a wide, tiered partner ecosystem. Laurelle Roseman, Global VP of Partnerships at Nebius, highlighted the need for AI infrastructure that is both powerful and practical, stating, “Through our collaboration with TD SYNNEX, we are providing partners with the tools they need to build and deploy AI solutions that drive innovation and business growth.”

Read More: TD SYNNEX Launches AI Infrastructure-as-a-Service Offering to Accelerate AI Innovation

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ManageEngine, the enterprise IT management division of Zoho Corporation, has officially launched MSP Central—a purpose-built, all-in-one platform designed to help Managed Service Providers (MSPs) optimize service delivery, device oversight, cybersecurity, and infrastructure monitoring from a centralized console.

Purposefully engineered for the dynamic needs of MSPs, MSP Central consolidates ManageEngine’s proven IT operations and security capabilities into a single, scalable solution. The platform is tailored to multi-client environments, enabling operational efficiency, service standardization, and improved technician productivity.

Meeting the Demands of a Growing MSP Market

As the global managed services market is forecasted to hit $511 billion by 2029, MSPs are under increasing pressure to expand their operations while maintaining service excellence. MSP Central aims to meet this challenge by eliminating tool fragmentation and offering an integrated, modular solution that can grow with the business.

“We had technicians switching between multiple consoles just to resolve a single client incident—a real drag on time and ticket volume,” said Edgar Martínez, business manager at EvolutionIT, an early adopter of MSP Central. “We were looking for a tool that could bring together everything our team needs without adding complexity or locking us into a rigid stack.”

Built for Modern MSP Workflows

MSP Central delivers a seamless operational experience through its cloud-native, multi-tenant architecture. It includes features such as role-based access control, out-of-the-box integrations with both Zoho and third-party tools, and the ability for MSPs to implement only the modules they require—offering unparalleled flexibility and cost-efficiency.

“With MSP Central, we’re bringing together the best of ManageEngine’s proven IT management and security capabilities in a platform designed from the ground up for MSPs,” said Mathivanan Venkatachalam, vice president at ManageEngine. “While each of these modules stands strong on its own, together they form a truly unified platform—delivering a single, connected experience for service providers. This approach lets MSPs consolidate their operations, eliminate tool sprawl, and enable their teams to work more efficiently and effectively—all from a unified console.”

Also Read: Red Hat Unveils Red Hat OpenShift Virtualization Engine

Key Features of MSP Central:

• Modular Deployment: Choose only the features you need—no forced bundling.

• Remote Monitoring and Management (RMM): Comprehensive multi-tenant device management with patching, asset tracking, and proactive fixes.

• Professional Services Automation (PSA): Streamlined workflows for ticketing, SLAs, contracts, time tracking, and billing.

• Advanced Server Monitoring: Deep insights and alerting across diverse server environments including Windows, Linux, databases, and virtual systems.

• Endpoint Security: Multi-layered threat protection with anti-ransomware, vulnerability management, and secure browsing.

• AI-Powered Automation: Smarter operations through AI-driven features such as ticket summarization, sentiment analysis, and predictive alerting.

• Third-Party Integrations: Native support for over 20 IT, security, and business tools through open APIs.

• Marketplace-Ready: Built for seamless inclusion in cloud marketplaces and partner platforms.

Roadmap for Future Innovation

MSP Central forms the cornerstone of ManageEngine’s broader strategy to offer a complete platform ecosystem for MSPs and MSSPs. Planned enhancements will extend into areas such as Security Information and Event Management (SIEM), privileged access management, and analytics-driven insights. These additions will enable MSPs to manage both operations and compliance from a single source of truth.

“Our goal is to give MSPs a platform that adapts to their growth, supports their preferred tools, and eliminates the friction of fragmented systems. We’re starting with RMM, PSA, and advanced server monitoring, but this is just the beginning. Our vision is to bring all of ManageEngine’s standalone MSP tools together under this platform, delivering depth, flexibility, and scalability that helps providers grow alongside their clients’ needs. MSP Central is designed to support MSPs for the long haul,” added Venkatachalam.

The post ManageEngine Unveils MSP Central for Modern MSP Infrastructure appeared first on ITDigest.

VergeIQ is not a bolt-on or standalone AI stack. It is seamlessly integrated as a core component of VergeOS, enabling enterprises to rapidly deploy AI infrastructure and capabilities within their existing data centers in minutes, rather than months.

“With VergeIQ, we’re removing the complexity and hurdles enterprises face when adopting AI,” said Yan Ness, CEO of VergeIO. “Organizations want to leverage the power of AI for competitive advantage without losing control of their most sensitive data. VergeIQ provides exactly that—enterprise-ready AI fully integrated within VergeOS, entirely under your control.”

Scott Sinclair, Practice Director of the Infrastructure, Cloud, and DevOps segment at Enterprise Strategy Group (ESG), added:

“AI has quickly become a strategic priority across every industry, but organizations encounter significant challenges around infrastructure complexity and data governance. VergeIQ directly addresses these pain points by making private, secure AI deployment achievable for enterprises of all sizes. This innovation will help drive the next wave of enterprise AI adoption.”

Integrated Enterprise AI Infrastructure

VergeIQ is designed for enterprises needing secure AI capabilities, data privacy, and near-bare-metal performance. Customers can select and deploy various Large Language Models (LLMs)—such as LLaMa, Mistral, and Falcon—and immediately begin using them on their own data within VergeOS secure, tenant-aware infrastructure.

Unlike traditional AI stacks that rely on complex third-party infrastructure or GPU virtualization tools like NVIDIA vGPU, VergeIQ provides native GPU pooling and clustering, eliminating external licensing complexity. This native integration ensures dynamic, efficient GPU resource utilization across virtual data centers.

Also Read: Black Box names Jai Venkat as CRO Americas 

Key Highlights of VergeIQ:

• Private, Secure Deployment: Fully on-premises, air-gapped, or disconnected deployments ensuring total data sovereignty, compliance, and security.
• Rapid LLM Deployment: Instantly deploy popular pre-trained LLMs, including LLaMa, Falcon, OpenAI, Claude, and Mistral, without complex setup or custom training.
• OpenAI API Routing: A built-in OpenAI-compatible API router simplifies the integration and interaction of diverse large language models (LLMs) within your workflows.
• Vendor-Agnostic GPU Support: Utilize any standard GPU hardware, avoiding vendor lock-in and enhancing flexibility in infrastructure decisions.
• Dynamic GPU/CPU Orchestration: Automatically manage and optimize the loading and utilization of AI models across available GPU and CPU resources, maximizing infrastructure efficiency and scalability.
• GPU Sharing and Clustering: Dynamic, intelligent pooling and sharing of GPU resources across clusters to ensure optimal usage, performance, and cost-efficiency.
• Infrastructure Intelligence: Directly query IT infrastructure to extract actionable insights and simplify operational decision-making rapidly.

VergeIQ will be available as a seamless upgrade of VergeOS to all existing customers, providing full enterprise AI capabilities immediately upon upgrade.

Source: Businesswire

The post VergeIO Debuts VergeIQ: On-Prem AI for Every Enterprise appeared first on ITDigest.

DataCore Software, a leading provider of data infrastructure and management solutions, announced the acquisition of StarWind Software, a well-established name in hyper-converged infrastructure (HCI) tailored for edge and remote office/branch office (ROBO) deployments. The strategic move significantly broadens DataCore’s capabilities beyond the core data center, enabling the company to deliver streamlined, software-defined HCI solutions to support highly distributed business operations.

As enterprises increasingly generate and rely on mission-critical data at the edge, the demand for scalable, easy-to-manage infrastructure has surged. According to Gartner, approximately 75% of enterprise data will be created and processed outside of traditional data centers by 2025. This trend is evident across industries—whether it’s retailers leveraging in-store analytics, manufacturers using real-time monitoring to avoid equipment failures, healthcare providers managing decentralized patient data, or banks ensuring seamless branch-level transaction processing.

With StarWind’s advanced technology, DataCore is uniquely positioned to meet these evolving requirements. The combined offering delivers a unified HCI platform designed to simplify infrastructure, reduce complexity, and enhance efficiency across diverse and distributed IT environments.

Together, DataCore and StarWind now offer one of the industry’s most comprehensive storage portfolios—encompassing block, file, S3 object, and container-native storage. This aligns with DataCore.NEXT, the company’s strategic vision to support heterogeneous workloads and deployment models across core, cloud, and edge environments using flexible, best-of-breed, software-defined solutions.

Also Read: Virtana Acquires Zenoss to Enhance Observability Platform 

“This acquisition represents a significant leap toward realizing our DataCore.NEXT vision,” said Dave Zabrowski, CEO of DataCore. “Merging our strengths with StarWind’s trusted edge and ROBO expertise allows us to deliver reliable HCI that works seamlessly from central data centers to the most remote locations. We are focused on giving organizations greater choice, control, and a more straightforward path for managing data wherever it resides.”

Managing IT infrastructure across distributed locations comes with increasing challenges—particularly as organizations are pressed to do more with limited resources. With constrained budgets and minimal onsite staff, there’s a growing need for compact, resilient platforms that are easy to deploy and manage. The integration of StarWind enhances DataCore’s ability to meet these demands, offering a compelling alternative to traditional HCI solutions.

The news was well-received by longtime DataCore partner Virtual Effect.

“We love the DataCore.NEXT vision, which optimizes how customers manage data across core, cloud, and edge environments,” said John Greenwood, Chief Strategy Officer at Virtual Effect. “DataCore already leads the industry with one of the broadest software-defined storage portfolios. The addition of StarWind brings another best-in-class solution into the fold, further strengthening their edge offerings and reinforcing their commitment to customer agility and infrastructure independence.”

“Joining the DataCore family allows us to bring our high-performance virtual SAN technology to a wider audience,” said Anton Kolomyeytsev, CEO of StarWind. “With growing uncertainty around Broadcom-VMware’s vSAN licensing and pricing—particularly in distributed and cost-sensitive environments—organizations are rethinking their infrastructure strategies. Together with DataCore, we are delivering greater flexibility, performance, and freedom from hardware and hypervisor lock-in without compromising simplicity or control.”

With this acquisition, DataCore solidifies its position as a leader in next-generation data infrastructure, delivering a unified platform designed to support today’s distributed, data-driven enterprises.

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