AI Storage Ecosystem for the Data Center
NVIDIA CMX Context Memory Storage Platform
Rearchitecting inference storage for the next frontier of AI.
Overview
AI-Native Storage Accelerates Long-Context Inference at Scale
NVIDIA® CMX™ context memory storage is an AI‑native context tier for long‑context, multi‑turn, and agentic AI inference. Powered by the NVIDIA BlueField®‑4 storage processor, it extends GPU memory with a shared, pod‑level context tier optimized for ephemeral key-value (KV) cache. The platform provides a high‑bandwidth path that reduces latency, cost, and power overhead for large-scale inference workloads, helping deliver higher throughput and better power efficiency on NVIDIA Rubin platforms.
Products
AI-Native Storage Infrastructure, Integrated From End to End
From accelerated context memory and secure data movement to Ethernet fabrics and inference frameworks, NVIDIA CMX is the result of extreme co-design across compute, networking, storage, and software.
Product Benefits
Accelerated Context Memory for Long‑Context AI
NVIDIA CMX introduces a dedicated context tier that improves sustained throughput and power efficiency for KV‑cache-intensive, long‑context workloads compared with traditional storage approaches.
Reclaim Power for Gigascale AI
Scale AI services with a highly efficient, KV-cache-optimized storage tier that reclaims essential power, freeing more of the data center power budget for GPUs instead of traditional storage.
Maximize GPU Utilization, Throughput, and Responsiveness
Optimize data paths and reduce stalls by reusing precomputed KV cache from the CMX tier instead of recomputing it. This boosts tokens per second and throughput for multi-turn, agentic inference. CMX reduces time to first token and time to last token, so answers stream sooner and finish faster, even as models, context windows, and concurrency grow.
Enable Smart, Efficient KV-Cache Sharing Across the AI Pod
Provide high-speed, pod-wide access to AI-native context to enable multi-turn agents to coordinate, share state, and scale seamlessly as workloads grow, while reducing duplication of KV cache and stranded capacity across nodes.
Extend GPU Capacity for Long-Context Inference
Deliver massive KV-cache capacity to support long-context reasoning, multi-agent workflows, trillion-parameter models, and longer-context windows for many simultaneous users.
NVIDIA STX
NVIDIA STX is a modular reference architecture for AI storage, co-designed with leading storage partners and built on NVIDIA accelerated compute, networking, and AI software. NVIDIA STX provides the foundation for building a universal data engine that accelerates the full AI lifecycle, from training and analytics to real-time agentic inference.
Ecosystem
NVIDIA CMX Context Memory Storage Partners
Resources
Building Blocks for the Context Era
Get Started
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