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# NVIDIA DGX SuperPOD Sets the Stage for Rubin-Based Systems

NVIDIA DGX Rubin systems unify the latest NVIDIA breakthroughs in compute, networking and software to deliver up to 10x reduction in inference token cost compared with the NVIDIA Blackwell platform — accelerating any AI workload, from inference and training to long-context reasoning.

January 5, 2026 by [Charlie Boyle](https://blogs.nvidia.com/blog/author/charlieboyle/ "Posts by Charlie Boyle")

0

![图片](https://blogs.nvidia.com/wp-content/uploads/2026/01/scale-ai-infrastructure-dgx-vera-rubin-nvl72-promo-pack-plan-a-1280x680-1.png)

NVIDIA DGX SuperPOD is paving the way for large-scale system deployments built on the NVIDIA Rubin platform — the next leap forward in AI computing.

At the CES trade show in Las Vegas, [NVIDIA today introduced the Rubin platform,](https://nvidianews.nvidia.com/news/rubin-platform-ai-supercomputer) comprising six new chips designed to deliver one incredible AI supercomputer, and engineered to accelerate agentic AI, mixture‑of‑experts (MoE) models and long‑context reasoning.

The Rubin platform unites six chips — the [NVIDIA Vera CPU](https://www.nvidia.com/en-us/data-center/vera-cpu/), Rubin GPU, [NVLink 6 Switch](https://www.nvidia.com/en-us/data-center/nvlink/), ConnectX-9 SuperNIC, BlueField-4 DPU and Spectrum-6 Ethernet Switch — through an advanced codesign approach that accelerates training and reduces the cost of inference token generation.

[DGX SuperPOD](https://www.nvidia.com/en-us/data-center/dgx-superpod) remains the foundational design for deploying Rubin‑based systems across enterprise and research environments.

The [NVIDIA DGX platform](https://www.nvidia.com/en-us/data-center/dgx-platform) addresses the entire technology stack — from NVIDIA computing to networking to software — as a single, cohesive system, removing the burden of infrastructure integration and allowing teams to focus on AI innovation and business results.

“Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof,” said Jensen Huang, founder and CEO of NVIDIA.

## **New Platform for the AI Industrial Revolution**

[The Rubin platform](https://www.nvidia.com/en-us/data-center/technologies/rubin/) used in the new DGX systems introduces five major technology advancements designed to drive a step‑function increase in intelligence and efficiency:

* **Sixth‑Generation NVIDIA NVLink** — 3.6TB/s per GPU and 260TB/s per Vera Rubin NVL72 rack for massive MoE and long‑context workloads.
* **NVIDIA Vera CPU** — 88 NVIDIA custom Olympus cores, full Armv9.2 compatibility and ultrafast NVLink-C2C connectivity for industry-leading efficient AI factory compute.
* **NVIDIA Rubin GPU** — 50 petaflops of NVFP4 compute for AI inference featuring a third-generation Transformer Engine with hardware‑accelerated compression.
* **Third‑Generation NVIDIA Confidential Computing** — Vera Rubin NVL72 is the first rack-scale platform delivering NVIDIA Confidential Computing, which maintains data security across CPU, GPU and NVLink domains.
* **Second‑Generation RAS Engine** — Spanning GPU, CPU and NVLink, the NVIDIA Rubin platform delivers real-time health monitoring, fault tolerance and proactive maintenance, with modular cable-free trays enabling 3x faster servicing.

Together, these innovations deliver up to 10x reduction in inference token cost of the previous generation — a critical milestone as AI models grow in size, context and reasoning depth.

## **DGX SuperPOD: The Blueprint for NVIDIA Rubin Scale‑Out**

Rubin-based DGX SuperPOD deployments will integrate:

* **NVIDIA DGX Vera Rubin NVL72** or **DGX Rubin NVL8** systems
* **NVIDIA BlueField‑4 DPUs** for secure, software‑defined infrastructure
* **NVIDIA Inference Context Memory Storage Platform** for next-generation inference
* **NVIDIA ConnectX‑9 SuperNICs**
* **NVIDIA Quantum‑X800 InfiniBand** and **NVIDIA Spectrum‑X Ethernet**
* **NVIDIA Mission Control** for automated AI infrastructure orchestration and operations

NVIDIA DGX SuperPOD with DGX Vera Rubin NVL72 unifies 14 [DGX Vera Rubin NVL72 systems](https://www.nvidia.com/en-us/data-center/dgx-vera-rubin-nvl72/), featuring 1,008 Rubin GPUs, to deliver 50.4 exaflops of FP4 performance and 1,046TB of fast memory.

Each DGX Vera Rubin NVL72 system — combining 36 Vera CPUs, 72 Rubin GPUs and 18 BlueField‑4 DPUs — enables a unified memory and compute space across the rack. With 260TB/s of aggregate NVLink throughput, it eliminates the need for model partitioning and allows the entire rack to operate as a single, coherent AI engine.

NVIDIA DGX SuperPOD with DGX Rubin NVL8 systems delivers 64 [DGX Rubin NVL8 systems](https://www.nvidia.com/en-us/data-center/dgx-rubin-nvl8/) featuring 512 Rubin GPUs.

NVIDIA DGX Rubin NVL8 systems bring Rubin performance into a liquid-cooled form factor with x86 CPUs to give organizations an efficient on-ramp to the Rubin era for any AI project in the develop‑to‑deploy pipeline. Powered by eight NVIDIA Rubin GPUs and sixth-generation NVLink, each DGX Rubin NVL8 delivers 5.5x NVFP4 FLOPS compared with NVIDIA Blackwell systems.

![图片](https://blogs.nvidia.com/wp-content/uploads/2026/01/scale-ai-infrastructure-dgx-rubin-nvl8-plan-a-promo-pack-1280x680-1-960x510.png)

## **Next‑Generation Networking for AI Factories**

The Rubin platform redefines the data center as a high-performance AI factory with revolutionary networking, featuring [NVIDIA Spectrum-6](https://www.nvidia.com/en-us/networking/ethernet-switching/) Ethernet switches, [NVIDIA Quantum-X800](https://www.nvidia.com/en-us/networking/infiniband-switching/) InfiniBand switches, [BlueField-4](https://www.nvidia.com/en-us/networking/products/data-processing-unit/) DPUs and [ConnectX-9](https://www.nvidia.com/en-us/networking/products/ethernet/supernic/) SuperNICs, designed to sustain the world’s most massive AI workloads.

By integrating these innovations into the NVIDIA DGX SuperPOD, the Rubin platform eliminates the traditional bottlenecks of scale, congestion and reliability.

**Optimized Connectivity for Massive-Scale Clusters**

The next-generation 800Gb/s end-to-end networking suite provides two purpose-built paths for AI infrastructure, ensuring peak efficiency whether using InfiniBand or Ethernet:

* [NVIDIA Quantum-X800 InfiniBand](https://www.nvidia.com/en-us/networking/products/infiniband/quantum-x800/): Delivers the industry’s lowest latency and highest performance for dedicated AI clusters. It utilizes Scalable Hierarchical Aggregation and Reduction Protocol (SHARP v4) and adaptive routing to offload collective operations to the network.
* [NVIDIA Spectrum-X Ethernet](https://www.nvidia.com/en-us/networking/spectrumx/): Built on the Spectrum-6 Ethernet switch and ConnectX-9 SuperNIC, this platform brings predictable, high-performance scale-out and scale-across connectivity to AI factories using standard Ethernet protocols, optimized specifically for the “east-west” traffic patterns of AI workloads.

**Engineering the Gigawatt AI Factory**

These innovations represent an extreme codesign with the Rubin platform. By mastering congestion control and performance isolation, NVIDIA is paving the way for the next wave of gigawatt AI factories. This holistic approach ensures that as AI models grow in complexity, the networking fabric of the AI factory remains a catalyst for speed rather than a constraint.

## **NVIDIA Software Advances AI Factory Operations and Deployments**

[NVIDIA Mission Control](https://blogs.nvidia.com/blog/mission-control-software/) — AI data center operation and orchestration software for NVIDIA Blackwell-based DGX systems — will be available for Rubin-based NVIDIA DGX systems to enable enterprises to automate the management and operations of their infrastructure.

NVIDIA Mission Control accelerates every aspect of infrastructure operations, from configuring deployments to integrating with facilities to managing clusters and workloads. With intelligent, integrated software, enterprises gain improved control over cooling and power events for NVIDIA Rubin, as well as infrastructure resiliency. NVIDIA Mission Control enables faster response with rapid leak detection, unlocks access to NVIDIA’s latest efficiency innovations and maximizes AI factory productivity with autonomous recovery.

NVIDIA DGX systems also support the [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/) software platform, including [NVIDIA NIM](https://nvidianews.nvidia.com/news/generative-ai-microservices-for-developers) microservices, such as for the NVIDIA Nemotron-3 family of open models, data and libraries.

## **DGX SuperPOD: The Road Ahead for Industrial AI**

DGX SuperPOD has long served as the blueprint for large‑scale AI infrastructure. The arrival of the Rubin platform will become the launchpad for a new generation of AI factories — systems designed to reason across thousands of steps and deliver intelligence at dramatically lower cost, helping organizations build the next wave of frontier models, multimodal systems and agentic AI applications.

NVIDIA DGX SuperPOD with DGX Vera Rubin NVL72 or DGX Rubin NVL8 systems will be available in the second half of this year.

_See_[ _notice_](https://www.nvidia.com/en-eu/about-nvidia/terms-of-service/) _regarding software product information._

* Categories: * [AI Infrastructure](https://blogs.nvidia.com/blog/category/enterprise/)
* Tags: * [CES 2026](https://blogs.nvidia.com/blog/tag/ces-2026/) * [NVIDIA BlueField](https://blogs.nvidia.com/blog/tag/nvidia-bluefield/) * [NVIDIA DGX](https://blogs.nvidia.com/blog/tag/nvidia-dgx/) * [NVIDIA Rubin](https://blogs.nvidia.com/blog/tag/nvidia-rubin/)