Introduction to CoreWeave & Grace Blackwell GPUs
In a bold move that sets the pace for the future of AI infrastructure, CoreWeave has become the first cloud provider to offer NVIDIA Grace Blackwell GB200 NVL72 systems at production scale. Announced in April 2025, this deployment signals a game-changing advancement for developers, researchers, and AI enterprises looking to scale large models efficiently.
What is the GB200 NVL72?
The GB200 NVL72 is a revolutionary rack-scale system that merges 36 NVIDIA Grace CPUs with 72 Blackwell GPUs in a liquid-cooled, high-performance design. It delivers up to 1.4 exaFLOPS of AI compute, giving developers 4x faster training capabilities and 30x improved real-time inference for trillion-parameter models compared to its predecessor.
This leap in performance is ideal for workloads like generative AI, deep learning, and foundation model training.
CoreWeave’s Strategic Move
CoreWeave is scaling its infrastructure with over 110,000 GPUs to meet growing demand from cutting-edge AI companies. Organizations like Cohere, IBM, and Mistral AI are already leveraging GB200 systems for rapid model training and AI application deployment.
According to Inside AI News, CoreWeave’s fast-track deployment sets it apart in the race to dominate enterprise AI workloads.
Performance in MLPerf Benchmarks
In the recent MLPerf Inference v5.0 benchmarks, CoreWeave’s GB200 systems clocked an astounding 800 tokens per second on the LLaMA 3.1 405B model. This resulted in a 2.86x performance boost over NVIDIA’s Hopper GPUs—making GB200 the fastest platform for large language model inference on the market today.
These benchmarks underscore the potential of the Grace Blackwell architecture to redefine how AI systems are built, trained, and scaled.
Implications for AI Development
The availability of GB200 on CoreWeave opens new doors for industries dependent on advanced AI infrastructure. Sectors like healthcare, finance, and autonomous vehicles can now run complex, real-time computations with unmatched speed and accuracy.
This architecture is designed for workloads demanding massive parallelization, such as natural language processing, multi-modal AI, and real-time robotics decision-making. With the rising complexity of foundation models, having scalable compute like GB200 is no longer optional—it’s essential.
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Final Thoughts
With the launch of NVIDIA’s Grace Blackwell GPUs on CoreWeave’s ultra-fast AI cloud platform, a new benchmark has been set for AI performance and scalability.
This collaboration is not just about faster GPUs—it’s about empowering the next generation of AI builders to train smarter, scale faster, and innovate without limits. Whether you’re building billion-parameter models or deploying intelligent applications, GB200 on CoreWeave delivers the power you need.
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