무슨 발표인가
- 5배 토큰 처리량 향상
- 4배 에너지 효율·2배 빠른 데이터 수집
- 다수 초기 도입사 확보
원문 (영어)
News Summary: New NVIDIA STX reference architecture provides up to 5x token throughput and up to 4x energy efficiency with 2x faster data ingestion. Early adopters of STX for context memory storage include CoreWeave, Crusoe, IREN, Lambda, Mistral AI, Nebius, Oracle Cloud Infrastructure (OCI) and Vultr.
Storage providers and manufacturing partners are building infrastructure using NVIDIA modular reference designs to advance agentic AI, including AIC, Cloudian, DDN, Dell Technologies, Everpure, Hitachi Vantara, HPE, IBM, MinIO, NetApp, Nutanix, Supermicro, Quanta Cloud Technology (QCT), VAST Data and WEKA.
GTC— NVIDIA today 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. 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.
원문: NVIDIA News — "NVIDIA Launches BlueField-4 STX Storage Architecture With Broad Industry Adoption" (2026-03-24) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-launches-bluefield-4-stx-storage-architecture-with-broad-industry-adoption