GMI Cloud backs NVIDIA-based agentic AI infrastructure - Engineering.com
The platform targets multimodal inference, dedicated endpoints and secure orchestration for continuously running AI systems. GMI Cloud 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. As AI evolves from a conversational interface into an intelligent operating layer capable of reasoning, taking action, coordinating complex workflows, and continuously learning from multimodal context. These next-generation AI workloads demand a new class of infrastructure designed to support real-time, high-performance intelligence at scale. Requirements include high-throughput, low-latency inference for interactive applications, seamless deployment of multimodal models across text, image, video, audio, and agentic workflows, and advanced capabilities for long-context reasoning, memory, and orchestration. Enterprise adoption further requires secure multi-tenant environments, dynamic scaling for continuously operating AI systems, and optimized infrastructure orchestration that reduces token costs while maximizing resource utilization and efficiency. This is why 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 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. 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. For more information, visit gmicloud.ai.