NSIM

Stories you may like

• The growing trend of Abacus education in this era,gives an opportunity to train children abacus based mental arithmetic as well as grows their cognitive skills,

• Inviting SkillTraining centres all over India to affiliate with BSS and Become B'Voc centres of Singhania University

• Inviting Panchayat Wise Skill Gap Testing and Training Centres all over India for Nsim's Life Long Learning Program

• Be a seller in E-commerce Platforms...

• How to do online marketing through e-commerce websites?

NVIDIA launches new GPU for long-context AI workloads

Nvidia has introduced the Rubin CPX GPU, a new processor designed to accelerate long-context artificial intelligence (AI) workloads. The announcement was made at the company’s AI Infrastructure Summit, where Nvidia highlighted its focus on enabling generative AI systems to process larger context windows.

The Rubin CPX GPU is engineered to handle inputs exceeding one million tokens. This capability is aimed at supporting advanced applications such as video generation, scientific research, and large-scale software development, all of which require extended memory and contextual understanding.

Designed for long-context inference

Rubin CPX aims to address one of the biggest challenges facing generative AI—managing extended prompts and datasets. Traditional GPUs are optimised for smaller context lengths, but as models expand in size and complexity, demand has grown for hardware capable of handling longer inputs efficiently.

By enabling long-context inference, Rubin CPX is expected to support use cases including detailed document analysis, long-form content creation, and continuous video workflows. These workloads have typically required extensive computational resources, creating a need for specialised accelerators.

Part of Rubin architecture roadmap

Rubin CPX is part of Nvidia’s broader Rubin architecture, which focuses on disaggregated inference. This modular approach is intended to allow different types of GPUs and accelerators to be optimised for distinct AI tasks.

According to the company, the Rubin product line will expand to include additional processors that target specific requirements within the AI ecosystem.

Nvidia noted that Rubin CPX was developed following feedback from developers and enterprise clients who highlighted the limitations of current hardware in handling large token sequences. The GPU aims to improve efficiency for businesses deploying AI models across sectors such as healthcare, finance, and engineering. The Rubin CPX GPU is reportedly scheduled for commercial availability by the end of 2026. Nvidia has not yet disclosed pricing details or specific performance benchmarks, but the company confirmed that testing with select enterprise partners is already underway.