NVIDIA Rubin

What makes Rubin different from previous architectures is how completely it has been rebuilt around the realities of modern AI workloads. The GPU pairs with NVIDIA's new Vera CPU, runs on HBM4 memory with up to 288GB capacity per GPU, and connects through sixth-generation NVLink, delivering 3.6 TB/s of GPU-to-GPU bandwidth, nearly double what the previous Blackwell generation offered. At rack scale, the Vera Rubin NVL72 brings together 72 Rubin GPUs and 36 Vera CPUs into a single coordinated system capable of 3.6 exaflops of FP4 inference performance.

Why This Matters For Your AI Roadmap:

When it comes to Nvidia Rubin Suppliers in Delhi, the Rubin platform will offer substantial improvements in the AI inference costs of various workloads, most notably the cost reduction for mixture-of-experts models that can power large deployments. It offers greater memory for cross-GPU transfers in training to make model iteration much faster. The performance gains will also make deploying AI on an agentic AI workload, which includes multi-reasoning step logic in real-world scale environments, much easier and cheaper.

Industries Moving Early On This Platform:

As an established Nvidia Rubin Distributors in India, we already see strong interest from Research institutions, BFSI, Healthcare, Manufacturing, Government, and Data Centre operators planning their next infrastructure cycle around what Rubin makes possible.

Plan Your Deployment With Us:

As your Nvidia Rubin Partner in Delhi, we understand this is a significant infrastructure decision involving cooling requirements, power architecture, and deployment timing that varies by organisation. Talk to our team early, and we will help you plan a rollout that lines up with when capacity genuinely becomes available to you.