NVIDIA RUBIN CPX：用大环境革命推理性能AI

探索NVIDIA Rubin CPX如何转化大量上下文AI工作负载的推理性能，提供无与伦比的效率和ROI。

The AI landscape is rapidly evolving, with inference becoming the new frontier. NVIDIA's Rubin CPX GPU is designed to meet the demands of long-context AI workloads with greater efficiency and ROI.

AI景观正在迅速发展，推断成为新的边界。 NVIDIA的Rubin CPX GPU旨在满足效率更高和ROI的长篇小说AI工作负载的需求。

The Rise of Long-Context AI

长篇文化AI的兴起

Modern AI models are now capable of multi-step reasoning and long-horizon context, enabling them to tackle complex tasks. Processing massive context has become increasingly critical, particularly in areas like software development and video generation. These applications demand sustained coherence and memory across millions of tokens, pushing the boundaries of current infrastructure.

现在，现代的AI模型能够进行多步推理和长远的环境，从而使它们能够解决复杂的任务。处理大量环境已经变得越来越关键，尤其是在软件开发和视频生成等领域。这些应用要求在数百万个令牌上持续连贯和内存，从而突破了当前基础设施的界限。

NVIDIA's SMART Framework and Disaggregated Inference

NVIDIA的智能框架和分类推理

To address this shift, the NVIDIA SMART framework optimizes inference across scale, performance, architecture, ROI, and the broader ecosystem. Disaggregated inference enables the context and generation phases to be processed independently, optimizing compute and memory resources. This improves throughput, reduces latency, and enhances overall resource utilization.

为了解决这一转变，NVIDIA智能框架优化了规模，性能，体系结构，ROI和更广泛的生态系统的推理。分解推理可以独立处理上下文和生成阶段，从而优化计算和内存资源。这可以改善吞吐量，减少延迟并增强整体资源利用率。

Introducing NVIDIA Rubin CPX

介绍NVIDIA RUBIN CPX

NVIDIA is introducing the Rubin CPX GPU, a purpose-built solution designed to deliver high-throughput performance for high-value, long-context inference workloads. Built with the Rubin architecture, it features 30 petaFLOPs of NVFP4 compute, 128 GB of GDDR7 memory, and 3x attention acceleration. Optimized for processing long sequences, Rubin CPX enhances throughput and responsiveness, maximizing ROI for large-scale generative AI workloads.

NVIDIA推出了Rubin CPX GPU，这是一种专门构建的解决方案，旨在提供高价值，长篇文化推理工作负载的高通量性能。它由Rubin建筑建造，具有30个PETAFLOPS NVFP4计算，128 GB的GDDR7内存和3倍的注意加速度。鲁宾CPX优化用于处理长序列，可增强吞吐量和响应性，最大程度地提高大规模生成AI工作负载的ROI。

The NVIDIA Vera Rubin NVL144 CPX Rack

NVIDIA VERA RUBIN NVL144 CPX机架

Rubin CPX works in tandem with NVIDIA Vera CPUs and Rubin GPUs for generation-phase processing, forming a complete, high-performance disaggregated serving solution. The NVIDIA Vera Rubin NVL144 CPX rack integrates 144 Rubin CPX GPUs, 144 Rubin GPUs, and 36 Vera CPUs to deliver 8 exaFLOPs of NVFP4 compute and 100 TB of high-speed memory.

Rubin CPX与NVIDIA VERA CPU和Rubin GPU一起工作，用于生成期处理，形成了完整的高性能分解分类解决方案。 NVIDIA VERA RUBIN NVL144 CPX机架集成了144个Rubin CPX GPU，144 Rubin GPU和36个Vera CPU，以提供8个Exaflops NVFP4计算和100 TB的高速记忆。

Real-World Impact and ROI

现实世界的影响和投资回报率

At scale, the platform can deliver a 30x to 50x return on investment, translating to as much as $5B in revenue from a $100M CAPEX investment. By combining disaggregated infrastructure, acceleration, and full-stack orchestration, Vera Rubin NVL144 CPX redefines what’s possible for enterprises building the next generation of generative AI applications.

在大规模上，该平台可以提供30倍至50倍的投资回报率，从1亿美元的资本支出投资中的收入高达5B美元。通过结合分解的基础架构，加速和全栈编排，Vera Rubin NVL144 CPX重新定义了企业构建下一代生成AI应用程序的可能性。

Conclusion

结论

The NVIDIA Rubin CPX GPU and the NVIDIA Vera Rubin NVL144 CPX rack represent a new standard for full-stack AI infrastructure, creating new possibilities for workloads like advanced software coding and generative video. It's an exciting time to be in AI, and NVIDIA is leading the charge!

NVIDIA RUBIN CPX GPU和NVIDIA VERA RUBIN NVL144 CPX机架代表了全堆AI基础架构的新标准，为高级软件编码和生成视频等工作负载创造了新的可能性。这是进入AI的激动人心的时刻，Nvidia正在领导这一指控！