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NVIDIA VERA RUBIN.<\/p>\n
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.<\/p>\n
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.<\/p>\n
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\u00a0token\u00a0costs while maximizing resource utilization and efficiency.<\/p>\n
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.<\/p>\n
The GMI Cloud platform brings together:<\/p>\n
High-performance AI infrastructure for AI training, inference, and production deployment<\/p>\n
Prime Inference for optimized, low-latency model serving<\/p>\n
MaaS APIs that provide unified access to proprietary and open-source models<\/p>\n
Dedicated Endpoints for enterprise-grade production inference<\/p>\n
AI infrastructure orchestration and optimization layers for scalable AI operations<\/p>\n
Agentic workflow infrastructure for sandboxed, tool-using, autonomous AI systems<\/p>\n
Multimodal-native deployment environments for next-generation AI applications<\/p>\n
GMI Cloud is aligned with NVIDIA\u2019s vision for secure, high-performance AI factories and is adopting\u00a0NVIDIA Confidential Computing<\/a>\u00a0to support trusted execution environments for next-generation AI workloads that require security and privacy of both models and data.<\/p>\n As enterprises scale AI from internal pilots to production-grade systems, secure infrastructure will become essential to enabling broader AI adoption.<\/p>\n Aligning with the NVIDIA AI factory ecosystem<\/p>\n 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.<\/p>\n