VergeIO,
the developer of VergeOS-the first software-defined platform to unify
virtualization, storage, and networking-today announced VergeIQ,
a fully integrated Enterprise AI infrastructure solution enabling enterprises
and research institutions to securely, efficiently, and easily deploy and
manage private AI environments.
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.
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.
To learn more
about VergeIQ and see it in action, register
for our upcoming webinar on June 12th at 1:00pm ET.