Organizations across every industry recognize the transformational potential of generative AI. However, deploying these powerful capabilities on-premises has historically been complex, costly, and difficult to manage. Until now. Introducing VergeIQ—an integrated generative AI capability built directly into VergeOS, the unified data center operating system.
With VergeIQ, generative AI becomes another powerful infrastructure resource, seamlessly integrated alongside virtualization, storage, and networking within VergeOS. Once VergeOS is installed, your enterprise immediately gains access to VergeIQ—no additional software, no complicated setups, and no dedicated AI infrastructure required. VergeIQ is built-in, turnkey, and available to IT to help with infrastructure tasks and the organization at large to gain AI insights into proprietary data.
Why On-Premises and Secure AI Matters
Deploying AI completely on-premises is fundamental to achieving genuinely private or sovereign AI capabilities. Hosting AI within your own data center infrastructure ensures full control over sensitive or proprietary information, eliminating the risks associated with external or cloud-based providers. By keeping data entirely within organizational boundaries, enterprises can confidently meet stringent regulatory requirements and compliance standards. An on-premises approach prevents data exposure during transmission and storage in external environments, making it the most reliable way to ensure true data privacy, security, and sovereignty.
How VergeIQ Makes Enterprise AI Practical
Traditional enterprise AI deployments typically require standalone environments, expensive hardware stacks, and deep technical expertise. By introducing VergeIQ, we are breaking down these barriers by embedding AI as a resource natively within the VergeOS platform. This unified approach simplifies deployment, reduces costs, enhances performance, and eliminates the complexity typically associated with generative AI infrastructure.
As a result, enterprises can immediately and privately begin leveraging powerful generative AI models, such as LLaMa, Qwen, Phi, Gemma, within minutes after installing VergeOS. VergeIQ’s design allows you to securely and privately interact with your sensitive documents, proprietary code, and confidential internal datasets, without ever sending your information outside your infrastructure.
Enterprise AI with Day 1 Value
Rapid Analysis and Insights from Internal Documents
From day one, your users will be able to securely upload a wide range of common document types, including PDFs, documents, spreadsheets, text files, HTML pages, and more. VergeIQ quickly processes these documents and generates secure, context-rich summaries, actionable insights, and content tailored to your organization’s information within your own infrastructure. No data leaves your control.
Use Enterprise AI to Securely Explore Proprietary Source Code
For software development teams, VergeIQ is invaluable. It lets you instantly audit, analyze, and optimize your proprietary software codebases, without ever sending sensitive intellectual property off-premises. Developers can quickly identify potential issues, create clear documentation, and accelerate software delivery, all securely within the VergeOS environment.
Accelerate Infrastructure Automation
VergeIQ simplifies infrastructure automation, enabling IT teams to rapidly generate accurate scripts, infrastructure-as-code (IaC) definitions, and workflows. Instead of relying solely on manual scripting, you can securely query VergeIQ to generate automation code tailored to your environment, significantly accelerating infrastructure management across your entire data center.
Use Enterprise AI to Generate Tailored Enterprise Content
VergeIQ empowers business and marketing teams by quickly generating internal documentation, knowledge-base articles, HR policies, or customer communications from your secure, private data sources. Enterprises can confidently produce content that is not only accurate and relevant but also fully compliant with their governance requirements.
Infrastructure Intelligence
And of course, VergeIQ supports querying your IT infrastructure itself. By leveraging the power of VergeIQ, infrastructure teams can obtain immediate operational insights, analyze workloads, predict capacity requirements, and simplify day-to-day operational decision-making. All infrastructure data remains secure, private, and fully accessible within your data center.
Why VergeIQ Makes Sense for Enterprise AI
Hardware Abstraction without Compromise
VergeIQ incorporates intelligent GPU orchestration, vendor-agnostic GPU support, dynamic resource pooling, and highly optimized storage performance. This ensures maximum hardware efficiency, near-bare-metal performance, and lower power consumption. By leveraging VergeOS’s unified architecture, organizations can reach their sustainability goals while enhancing productivity and reducing costs.
Ready to see VergeIQ in action? Register for our world-premier webinar on June 12th.
OpenAI Ready
VergeIQ includes a built-in API router compatible with OpenAI, delivering a smooth and familiar experience for developers. Existing code, scripts, and integrations written for OpenAI APIs can work unchanged, except that your AI models run locally on your infrastructure. This means reduced latency, increased security, and complete data sovereignty, all without the complexity typically associated with private AI deployments.
Use Enterprise AI and gain Operational Simplicity
No Additional Installation Required
A defining characteristic of VergeIQ is its total integration within VergeOS. VergeOS is already recognized as a leading alternative to VMware, helping enterprises simplify their infrastructure and reduce costs. With VergeIQ, the same installation that handles virtualization, storage (VergeFS), and networking (VergeFabric) also provides comprehensive generative AI capabilities—no additional installations, complicated AI stacks, or specialized training needed.
VMware Exit Today, AI Tomorrow—One Platform, Two Major Wins
For many of our customers, transitioning away from VMware to a simpler, cost-effective infrastructure is the top priority. VergeOS is a leading VMware alternative, designed specifically to streamline this process. Introducing VergeIQ shouldn’t change that priority; it should accelerate it, as it is already included with the VergeOS deployment you’ll use as your VMware alternative. Once you’ve completed your migration away from VMware, you’ll immediately have access to a complete generative AI platform, right within your own data center.
But if you’re not ready to exit VMware just yet, you don’t have to wait. You can deploy VergeOS alongside your existing VMware infrastructure right now, instantly gaining access to VergeIQ’s generative AI capabilities. Begin benefiting from VergeIQ immediately, then transition from VMware to VergeOS when the timing works best for your organization.
VergeIQ is ready to deliver value from day one—not only helping you leverage AI to streamline infrastructure management but also supporting a wide range of additional enterprise use cases, as we’ll explore in detail below.
Availability Timeline
VergeIQ will begin preview demonstrations throughout June 2025. The Early Access Program is scheduled to open in July 2025, with General Availability set for August 2025. Existing VergeOS customers will seamlessly upgrade to receive VergeIQ capabilities as a part of their current infrastructure.
Conclusion: Transform Your Organization with Enterprise AI Today
Introducing VergeIQ as an integrated resource of VergeOS means that private generative AI is no longer a future aspiration—it’s a present-day reality. It meets all the requirements of Enterprise AI, allowing organizations to deploy, securely manage, and immediately benefit from generative AI models directly within their own data centers. VergeIQ provides the control, simplicity, and security enterprises demand, paired with the powerful generative AI capabilities that organizations increasingly require.
Ready to see VergeIQ in action? Register for our world-premier webinar on June 12th.
