October 1, 2024
Updated on 1 Sep 2025
Table of contents
In our latest article, we explored how the NVIDIA GB200 Blackwell is moving AI beyond LLM training. From powering smart manufacturing and autonomous systems to driving breakthroughs in drug discovery and personalised AI, the GB200 opens new possibilities for enterprises.
When most people hear about the NVIDIA GB200 Blackwell, the first thing that comes to mind is LLM training and AI inference and yes, it’s incredible at that. But the GB200 can do so much more than just power LLMs. On NexGen Cloud, we optimise these GPUs with Quantum InfiniBand, high-performance WEKA storage and managed services, giving you an infrastructure that makes even the most ambitious AI projects feasible.
5 Innovative Use Cases of GB200
So, while everyone else is focusing on traditional AI workloads, let’s take a closer look at 5 innovative GB200 Use Cases beyond LLM training.
1. Smart Manufacturing
Modern factories are moving beyond traditional automation and real-time intelligence is now key. With the GB200 NVL72, manufacturers can tap into 72 GPUs linked through fifth-generation NVLink, giving over 1 PB/s bandwidth and 240 TB of memory. That means massive IoT sensor data can be analysed as it’s generated without lag.
Predictive maintenance becomes practical at scale. The GB200’s high-speed NVLink and hardware decompression engine let you process compressed sensor data up to 18x faster than CPUs, spotting potential equipment issues before they cause downtime. Our NVIDIA Blackwell GB200 NVL72 offers Quantum InfiniBand with 800 gigabits per second (Gb/s) of throughput for ultra-low latency and NVIDIA-certified WEKA storage with GPUDirect Storage support.
The result? Production lines that adapt on the fly, defects are detected automatically and operations are optimised continuously.
2. Autonomous Systems
Autonomous vehicles, drones and robotics operate in dynamic environments where milliseconds matter. The GB200 NVL72 delivers 1.8 TB/s bidirectional throughput and advanced Tensor Cores with FP4 precision, so these systems can make split-second decisions.
The GB200 ensures the data in these autonomous systems moves without delay thanks to Quantum InfiniBand, while our data storage handles high-volume simulation datasets effortlessly.
No matter if it’s obstacle avoidance, route optimisation or reinforcement learning model training, the GB200 accelerates autonomous AI workloads, giving enterprises the bandwidth and memory to deploy robust systems.
3. Natural Language Understanding
NLU goes beyond chatbots. It can power summarisation, semantic search and context-aware AI. With GB200 NVL72, tasks that once took hours can now run in real-time with its 30x faster throughput for inference workloads compared to older GPUs.
The second-generation Transformer Engine supports FP8 and FP4 precision, accelerating semantic analysis, sentiment detection and intent recognition. Organisations can now process millions of documents and extract insights efficiently.
Memory-bound operations can benefit directly from the GB200’s revolutionary blackwell architecture to reduce latency.
4. AI-Driven Drug Discovery
Drug discovery is complex, requiring analysis of large biochemical datasets, molecular simulations and predictive modelling. The GB200 with 72 GPUs in a single NVLink domain, provides the bandwidth and memory to make this feasible at scale.
Its hardware decompression engine quickly unpacks compressed genomic or chemical datasets, while 8 TB/s memory bandwidth ensures smooth execution of simulations. We also add Quantum InfiniBand to the GB200 GPU for low-latency node communication and WEKA storage keeps large datasets readily accessible.
This allows researchers to screen compounds, model interactions and run predictive analytics much faster than before. GB200 Use Cases in drug discovery show how high-performance AI infrastructure can turn what was once months of work into days.
5. Personalised AI Agents
Building AI agents that adapt to user behaviour in real-time requires high throughput and memory. The GB200 NVL72 supporting up to 576 GPUs in a single NVLink domain can deliver the scale needed to manage multiple personalised AI models.
The second-generation Transformer Engine ensures low-latency query processing, while the hardware decompression engine speeds up access to large interaction datasets. Our NVIDIA-certified WEKA storage with GPUDirect Storage support provides the infrastructure to move data seamlessly, even at large scale.
From recommendation engines to virtual assistants, the GB200 allow AI agents to learn from users, offer personalised experiences and adapt to changing behaviour patterns. Organisations can now build AI that is both intelligent and scalable, achieving real-time personalisation previously thought out of reach.
Reserve the Blackwell GB200 Today
The NVIDIA GB200 Blackwell is the foundation for the future of AI. Does not matter if you’re building autonomous systems or advancing healthcare research, our GB200 NVL72 clusters for AI are built to take your AI initiatives to the next level.
Book a call today to discuss how our bespoke solutions and managed services for NVIDIA GB200 NVL72/36 can help take your AI initiatives to the next level.
FAQs
What makes the GB200 different from previous generation GPUs?
The GB200 is built on NVIDIA’s Blackwell architecture, offering NVLink Gen5 with over 1 PB/s bandwidth, FP4 Tensor Cores for faster inference and integrated hardware decompression engines that accelerate data-heavy workloads up to 18x faster than CPUs.
Can the GB200 be used outside of LLM training?
Yes. While it excels at LLMs, it’s also ideal for autonomous systems, drug discovery, personalised AI agents, smart manufacturing and natural language understanding.
How does NexGen Cloud optimise GB200 performance?
We integrate GB200 GPUs with Quantum InfiniBand for ultra-low latency networking, NVIDIA-certified WEKA storage with GPUDirect support and managed services to ensure performance is maximised for large-scale AI projects.
What scale can I achieve with GB200 NVL72?
The GB200 NVL72 can scale up to 576 GPUs in a single NVLink domain for massive compute and memory sharing for complex AI and HPC workloads.
Is the GB200 suitable for enterprise workloads?
Absolutely. Enterprises can use GB200 for predictive maintenance, real-time data analysis, genomic research, simulations and AI agents.
How can I get access to GB200 on NexGen Cloud?
You can reserve capacity by booking a discovery call with our team to discuss bespoke solutions, ensuring you get early access and guaranteed availability.
Share this post
