무슨 발표인가
- 100만 토큰 처리 가능
- 8 exaflops 성능·100TB 메모리(단일 랙)
- 투자 1억 달러당 토큰 수익 5억 달러 잠재력
원문 (영어)
News Summary: The NVIDIA Rubin CPX GPU is purpose-built to handle million-token coding and generative video applications. The NVIDIA Vera Rubin NVL144 CPX platform packs 8 exaflops of AI performance and 100TB of fast memory in a single rack. Companies can monetize at an unprecedented scale, with $5B in token revenue for every $100M invested.
AI innovators like Cursor, Runway and Magic are exploring how Rubin CPX can accelerate their applications. AI Infra Summit— NVIDIA today announced NVIDIA Rubin CPX, a new class of GPU purpose-built for massive-context processing. This enables AI systems to handle million-token software coding and generative video with groundbreaking speed and efficiency.
Rubin CPX works hand in hand with NVIDIA Vera CPUs and Rubin GPUs inside the new NVIDIA Vera Rubin NVL144 CPX platform. This integrated NVIDIA MGX system packs 8 exaflops of AI compute to provide 7.5x more AI performance than NVIDIA GB300 NVL72 systems, as well as 100TB of fast memory and 1.
7 petabytes per second of memory bandwidth in a single rack. A dedicated Rubin CPX compute tray will also be offered for customers looking to reuse existing Vera Rubin NVL144 systems. “The Vera Rubin platform will mark another leap in the frontier of AI computing — introducing both the next-generation Rubin GPU and a new category of processors called CPX,” said Jensen Huang, founder and CEO of NVIDIA.
“Just as RTX revolutionized graphics and physical AI, Rubin CPX is the first CUDA GPU purpose-built for massive-context AI, where models reason across millions of tokens of knowledge at once.” NVIDIA Rubin CPX enables the highest performance and token revenue for long-context processing — far beyond what today’s systems were designed to handle.
원문: NVIDIA News — "NVIDIA Unveils Rubin CPX: A New Class of GPU Designed for Massive-Context Inference" (2026-01-29) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-unveils-rubin-cpx-a-new-class-of-gpu-designed-for-massive-context-inference
