NVIDIA GB200 User Guide: Specs, Features and Use Cases

If you’re building or scaling enterprise-grade AI infrastructure, chances are you're hitting the limits of what traditional GPUs can handle. No matter if you're running trillion-parameter models or facing bottlenecks in real-time inference, the demand for faster and more scalable compute is real (and immediate). Exactly the reason why NVIDIA launched the groundbreaking Blackwell GPUs including the NVIDIA Blackwell GB200 to build AI workloads at a scale you didn’t think was possible.

What is NVIDIA GB200?

The NVIDIA Blackwell GB200 NVL72/36 is built on the new Blackwell architecture launched at the GTC 2024. It offers massive compute power and scalability for generative AI workloads at scale. The NVIDIA GB200 NVL72 features 36 Superchips with 72 GPUs and 36 CPUs within a liquid-cooled rack-scale system. With full NVLink interconnect, it operates as a single massive GPU delivering unprecedented performance for large-scale AI workloads.

What are NVIDIA GB200 Specs?

The NVIDIA Blackwell GB200 have the following specifications: 

• 36 GB200 Superchips per Cluster
  Each cluster includes 36 Superchips, with each Superchip combining 2 Blackwell GPUs and 1 Grace CPU.
• High-Speed NVLink Interconnect
  All 72 GPUs are interconnected through a unified NVLink fabric for ultra-fast GPU-to-GPU communication with up to 130 TB/s bandwidth.
• Extreme Compute Performance
  Delivers up to 1.44 exaFLOPS (FP4) and 5,760 TFLOPS (FP32), supporting multiple precision formats including FP64, FP16, BF16, FP8, and FP4.
• Advanced Liquid Cooling
  Integrated liquid-cooled design ensures high-density, energy-efficient performance while preventing thermal throttling under heavy AI workloads.
• Industry-Leading Memory Bandwidth
  Supports up to 13.5 TB of high-bandwidth HBM3e memory per rack with a total memory bandwidth of 576 TB/s, critical for large-scale AI training.
• Massive Performance Gains
  Offers up to 30× faster inference for trillion-parameter LLMs, 4× faster training, and up to 25× greater energy efficiency than previous generations. 

Source: NVIDIA GB200 NVL72 LLM Training and Real-Time Inference 

NVIDIA GB200 Features on the AI Supercloud

At the AI Supercloud, we don’t sell you hardware. We deliver optimised hardware for your AI needs. Our NVIDIA GB200-powered systems are available via reservation,where you can access the power of NVIDIA GB200 NVL72/36 with full flexibility and support.

Here’s how we tailor the NVIDIA GB200 for your workload:

Customisation

No one-size-fits-all here. You can customise your GB200,  from GPU/CPU to RAM, storage or middleware to align perfectly with your training, inference or data science pipelines.

Advanced Networking

We integrate NVIDIA-certified WEKA storage with GPUDirect Storage support for NVIDIA GB200 GPU clusters for AI. They also come with NVLink and Quantum-2 InfiniBand to reduce I/O bottlenecks and boost throughput for training and inference tasks.

Scalable Solutions

Need to burst beyond your baseline resources? You can dynamically scale on-demand or plan to access thousands of NVIDIA GB200 GPUs within as little as 8 weeks, ideal for enterprises with high-volume data or scheduled model updates.

Managed Kubernetes and MLOps Support

We provide a fully managed Kubernetes environment optimised for AI workloads. Our MLOps stack ensures smooth integration across the pipeline from data ingestion to model deployment with expert assistance every step of the way.

Data Protection and Compliance

We offer a secure cloud where you can deploy your NVIDIA GB200 cluster by adhering to regional compliance and data standards. It ensures encrypted data flows, offers private access control and audit trails with single-tenant deployments.

Use Cases of NVIDIA GB200

Let’s get this straight, NVIDIA GB200 is not for hobby projects or lightweight experiments. This is infrastructure for serious scale to meet the demands of the most compute-heavy enterprise workloads:

Generative AI

The NVIDIA GB200 is purpose-built for generative AI at a massive scale. With its powerful architecture, you can train and fine-tune trillion-parameter foundation models that power advanced capabilities in text generation, vision-language understanding and code completion. No matter if you're developing custom LLMs or adapting open-source models for enterprise use, the NVIDIA GB200's unified memory and high throughput enable faster iteration and larger model sizes. It can support complex workflows across multimodal tasks, reduce training times and offer more responsive, production-ready generative applications.

Real-Time Inference at Scale

In production environments where every millisecond matters, the NVIDIA GB200 delivers real-time inference performance for the largest AI models. From personalised recommendation engines and search to self-driving perception systems and fraud detection pipelines, the NVIDIA GB200 enables rapid data flow between GPUs with advanced networking. Its high bandwidth and compute density make it ideal for enterprises deploying large models in real-time across distributed user bases. 

Large-Scale Model Training

To build LLMs, diffusion models or multimodal applications, the NVIDIA GB200’s architecture ensures high-efficiency training across thousands of cores. NVLink interconnects reduce communication bottlenecks for near-linear scaling across GPUs. This allows enterprises and research teams to shorten training cycles, cut infrastructure costs and reach convergence faster. From early-stage experimentation to production-grade training of massive models, the NVIDIA GB200 allows you to move from data to insight with unmatched speed and scale.

How to Access the NVIDIA Blackwell GB200 

The NVIDIA GB200 is expected to be available by the end of 2025. NexGen Cloud is offering early reservations for the NVIDIA GB200 NVL72/36 clusters. You don’t need to wait until launch to secure access in advance and ensure your enterprise is first in line to deploy at scale.

All you need to do is book a discovery call with our team. We’ll help you assess your workload needs and assist in reserving a GB200-powered environment optimised specifically for your AI projects

Conclusion

The NVIDIA GB200 is your new foundation for enterprise-scale AI. If your models are already pushing the limits of current infrastructure or if you’re building next-gen AI applications that demand real-time performance at scale, the NVIDIA GB200 is what you need.

But the hardware is just part of the story. At the AI Supercloud, we help you make it work faster and smarter. Our optimised NVIDIA GB200 NVL72/36 GPU Clusters for AI are built with your workload in mind, supported by expert teams who understand the nuances of AI deployment across industries.

FAQs

What is NVIDIA GB200?

The NVIDIA GB200 is a Blackwell-based Superchip built for large-scale AI, combining Grace CPUs and Blackwell GPUs with NVLink.

When was NVIDIA GB200 launched?

NVIDIA GB200 was launched at GTC 2024 as part of the Blackwell architecture to power trillion-parameter AI workloads at scale.

What is the price of NVIDIA GB200?

Book a discovery call with our team to reserve and learn about the NVIDIA GB200 pricing.

What are the key features of NVIDIA GB200?

On the NexGen Cloud, we deliver optimised hardware including the NVIDIA Blackwell GB200 NVL72/36 with advanced networking, higher-performance data storage, MLOps support and customisable configurations. 

Where can I access NVIDIA GB200 on the cloud?

You can reserve the NVIDIA GB200 NVL72/36 GPU Clusters optimised for AI on NexGen Cloud. Book a discovery call with our solutions engineer here.