GMI Cloud Supports the Next Era of AI Factories with NVIDIA Vera Rubin

NVIDIA GTC Taipei — June 1, 2026 — GMI Cloud, an AI-native cloud infrastructure company purpose-built for production AI, today announced its support for the next era of agentic AI factories following the momentum of NVIDIA Vera Rubin platform at GTC 2026 Taipei. 

As AI workloads evolve from single-model prompts into multimodal, long-running, autonomous systems, enterprises and developers require infrastructure that can support real-time reasoning, secure orchestration, high-throughput inference, and continuous AI operations at scale.

GMI Cloud is building an inference-native cloud platform designed to help AI builders deploy, scale, and operate production AI workloads with performance, flexibility, and security across the full model-to-application lifecycle.

The Shift Toward Agentic AI Factories

The next generation of AI applications will not simply generate responses. It will reason, plan, call tools, coordinate workflows, process multimodal context, and operate as persistent intelligent systems across enterprise and developer environments.

These new workloads introduce a fundamentally different set of infrastructure requirements, including:

• High-throughput, low-latency inference for real-time AI applications

• Scalable multimodal model deployment across text, image, video, audio, and agentic workflows

• Long-context reasoning, memory, and orchestration for autonomous agents

• Secure multi-tenant infrastructure for enterprise and regulated AI workloads

• Dynamic scaling for continuously operating AI systems

• Optimized AI infrastructure orchestration for lower token cost and higher utilization

As AI moves from experimentation into production, inference infrastructure is becoming the operational foundation of AI factories.

GMI Cloud’s AI-Native Inference Infrastructure

GMI Cloud selected NVIDIA for its best and only full-stack end-to-end AI factory platform designed specifically for large-scale inference, agentic workloads, and production AI deployment.

The GMI Cloud platform brings together:

• High-performance AI infrastructure for AI training, inference, and production deployment

• Prime Inference for optimized, low-latency model serving

• MaaS APIs that provide unified access to proprietary and open-source models

• Dedicated Endpoints for enterprise-grade production inference

• AI infrastructure orchestration and optimization layers for scalable AI operations

• Agentic workflow infrastructure for sandboxed, tool-using, autonomous AI systems

• Multimodal-native deployment environments for next-generation AI applications

By combining optimized compute orchestration, production inference delivery, and developer-friendly APIs, GMI Cloud enables builders to move from prototype to production faster while maintaining the performance and reliability required for real-world AI systems.

Supporting Secure AI Factory Deployment

As AI factories increasingly process proprietary data, regulated content, model context, and agent memory, security becomes a critical layer of the AI infrastructure stack.

GMI Cloud is aligned with NVIDIA’s vision for secure, high-performance AI factories and is adopting NVIDIA Confidential Computing to support trusted execution environments for next-generation AI workloads that require security and privacy of both models and data.

For enterprise AI builders, this represents an important step toward deploying AI workloads with stronger protection for sensitive data, multi-tenant environments, inference pipelines, and autonomous agent operations. For model providers, this opens an opportunity to address a new market without compromising model security. 

As enterprises scale AI from internal pilots to production-grade systems, secure infrastructure will become essential to enabling broader AI adoption.

Aligning with the NVIDIA AI Factory Ecosystem

NVIDIA Vera Rubin marks a major milestone in the evolution of AI factory infrastructure, bringing together next-generation compute, networking, security, and rack-scale system design to support the demands of agentic AI.

GMI Cloud continues to deepen its alignment with the NVIDIA ecosystem because of the excellent economics for providers and customers – highest compute/watt, lowest token cost, vast customer offtake, and longest useful life. Together, we will help developers and enterprises deploy advanced AI workloads globally — from multimodal inference and model APIs to dedicated endpoints and agentic infrastructure.

As AI builders increasingly require infrastructure optimized for both performance and production readiness, GMI Cloud is focused on delivering the cloud foundation needed to support the next generation of intelligent applications.

Powering the Future of AI Builders

The AI industry is entering a new operational era. Autonomous agents, multimodal reasoning systems, and continuously running AI workflows will define how software is built, deployed, and scaled.

GMI Cloud believes the future belongs to builders creating intelligent systems that can operate reliably, securely, and efficiently in production.

With its AI-native inference infrastructure, GMI Cloud is committed to helping developers, startups, and enterprises build the next generation of AI applications on top of high-performance, secure, and scalable cloud infrastructure.

The next generation of AI factories is being built today — and inference will power it.

Click here to learn more about GMI Cloud’s AI-native infrastructure and production AI platform.