Nvidia (NVDA) announced Nvidia BlueField-4 STX, a modular reference architecture that enables enterprises, cloud and AI providers to easily deploy accelerated storage infrastructure capable of the long-context reasoning required for agentic AI. The company said, “Traditional data centers provide high-capacity, general-purpose storage but lack the responsiveness required for seamless interaction with AI agents that work across many steps, tools and sessions. Agentic AI demands real-time access to data and contextual working memory to keep conversations and tasks fast and coherent. As context grows, traditional storage and data paths can slow AI inference and reduce GPU utilization. Nvidia STX allows storage providers to build infrastructure that keeps data close and accessible at scale, so agentic AI factories can deliver higher throughput and responsiveness across inference, training and analytics. The first rack-scale implementation includes the new Nvidia CMX context memory storage platform, which expands GPU memory with a high-performance context layer for scalable inference and agentic systems – providing up to 5x tokens per second compared with traditional storage.” STX-based platforms will be available from partners in the second half of this year.
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