NVIDIA Vera Systems

Engineered for the Next-Generation Data Center

Why Deploy with Xiilab?

Official NVIDIA Partner

As an NVIDIA Elite Partner, we bring proven technical expertise and access to the latest solutions.

Custom GPU Configuration

We design workload environments around your AI adoption goals and architect the hardware to match.

Optimized AI Training & Inference

We maximize training and inference performance through GPU resource allocation and software expertise.

NVIDIA Vera rack-scale system

What are NVIDIA Vera Systems?

NVIDIA Vera systems are designed for the era of agentic AI and inference. They efficiently handle multi-step problem solving and large-scale long-context workflows, and by eliminating key bottlenecks in communication and memory movement, the Rubin platform maximizes inference performance — processing more tokens per watt and cutting cost per token compared to the NVIDIA Blackwell generation.

Product Lineup

NVIDIA Vera Rubin NVL72

A rack-scale architecture that trains AI with 1/4 the GPUs and cuts cost per token to 1/10 vs. Blackwell

Detailed Specs
Configuration72x NVIDIA Rubin GPUs, 36x NVIDIA Vera CPUs, NVIDIA NVLink 6
NetworkingConnectX-9 SuperNICs · BlueField-4 DPUs
NVLink3.6 TB/s per-GPU (NVLink 6 switch)
PerformanceAI training with a quarter of the GPUs vs. Blackwell · 1/10 the cost per million tokens

Compare Product Specs

NVIDIA Vera Systems — Compare Product Specs
ModelRoleCore ConfigurationMemory · BandwidthKey PerformanceCooling · Form FactorPositioning
Vera Rubin NVL72Rack-scale architecture72× Rubin GPU + 36× Vera CPUNVLink 6, 3.6TB/s per GPUTraining with 1/4 the GPUs vs. BlackwellLiquid-cooled · rackNext-gen agentic AI
Vera CPU RackHigh-density CPU rackUp to 256× Vera CPU300TB/s bandwidth22,500+ concurrent CPU environmentsLiquid-cooled · 48U rackGeneral-purpose CPU scaling

※ Performance figures are NVIDIA-published Tensor Core values and vary with precision (FP4/FP8) and sparsity. * denotes approximate, roadmap-based figures.

Check our frequently asked questions

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  • We would like advice on which AI infrastructure configuration suits us.

    Xiilab helps you adopt GPU infrastructure suited to your AI workloads and data center environment. Beyond GPU servers, we can advise on AI infrastructure that takes software and hardware into account together.

  • How do NVIDIA DGX and HGX differ?

    DGX is a complete AI system in which NVIDIA integrates hardware and software, while HGX is a platform on which OEM manufacturers build their own servers using NVIDIA GPUs and high-speed interconnect technology. The right configuration depends on your goals, existing infrastructure, and expansion plans.

  • Are the NVIDIA products Xiilab sells genuine?

    Yes. As an NVIDIA Partner, Xiilab provides both NVIDIA software and hardware. You can consult us about the NVIDIA products and AI infrastructure configuration you need.

  • How long does it take to adopt AI infrastructure?

    The timeline varies with the product and configuration. Once we confirm the products and environment you have in mind, we will share a detailed schedule.

  • Is maintenance and technical support available after purchase?

    Xiilab provides maintenance and technical support suited to your environment after the AI infrastructure is deployed. The exact scope of support and the after-sales policy depend on the products deployed and the contract terms.

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