News from the AI & ML world
DeeperML
Ian Buck@NVIDIA Blog
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NVIDIA and CoreWeave have strengthened their partnership, bringing NVIDIA's Grace Blackwell GB200 NVL72 systems online at scale for CoreWeave customers. This collaboration aims to empower AI pioneers with cutting-edge technology for developing and deploying next-generation AI models and applications. CoreWeave is among the first cloud providers to offer this solution, demonstrating its commitment to providing the latest and most powerful AI infrastructure. The relationship between NVIDIA and CoreWeave is well-established, with NVIDIA having invested heavily in CoreWeave.
CoreWeave's cloud services are optimized for the GB200 NVL72, encompassing its Kubernetes Service, Slurm on Kubernetes (SUNK), Mission Control, and more. These Blackwell instances can scale up to 110,000 Blackwell GPUs using NVIDIA Quantum-2 InfiniBand networking. Leading AI companies like Cohere, IBM, and Mistral AI are already leveraging these systems to train and run complex AI models. CoreWeave CEO, Mike Intrator stated that CoreWeave works closely with NVIDIA to quickly deliver the most powerful solutions for training AI models and serving inference.
Several AI companies are experiencing significant performance boosts using the new Grace Blackwell systems. Cohere is utilizing the Grace Blackwell Superchips to develop secure enterprise AI applications, reporting up to three times more performance in training for 100 billion-parameter models compared to previous-generation NVIDIA Hopper GPUs. IBM is scaling its deployment to thousands of Blackwell GPUs on CoreWeave to train its Granite open-source AI models for IBM watsonx Orchestrate. Mistral AI is using their first thousand Blackwell GPUs to build the next generation of open-source AI models, noting a 2x improvement in performance for dense model training.
ImgSrc: blogs.nvidia.co
References :
CoreWeave's cloud services are optimized for the GB200 NVL72, encompassing its Kubernetes Service, Slurm on Kubernetes (SUNK), Mission Control, and more. These Blackwell instances can scale up to 110,000 Blackwell GPUs using NVIDIA Quantum-2 InfiniBand networking. Leading AI companies like Cohere, IBM, and Mistral AI are already leveraging these systems to train and run complex AI models. CoreWeave CEO, Mike Intrator stated that CoreWeave works closely with NVIDIA to quickly deliver the most powerful solutions for training AI models and serving inference.
Several AI companies are experiencing significant performance boosts using the new Grace Blackwell systems. Cohere is utilizing the Grace Blackwell Superchips to develop secure enterprise AI applications, reporting up to three times more performance in training for 100 billion-parameter models compared to previous-generation NVIDIA Hopper GPUs. IBM is scaling its deployment to thousands of Blackwell GPUs on CoreWeave to train its Granite open-source AI models for IBM watsonx Orchestrate. Mistral AI is using their first thousand Blackwell GPUs to build the next generation of open-source AI models, noting a 2x improvement in performance for dense model training.
ImgSrc: blogs.nvidia.co
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References :
- NVIDIA Newsroom: Thousands of NVIDIA Grace Blackwell GPUs Now Live at CoreWeave, Propelling Development for AI Pioneers
- insideAI News: NVIDIA announced that GPU cloud platform CoreWeave is among the first cloud providers to bring NVIDIA GB200 NVL72 systems online at scale, with Cohere, IBM and Mistral AI using them for model training and deployment.
- insidehpc.com: NVIDIA: Grace Blackwell GPUs on CoreWeave
- www.networkworld.com: Highlights CoreWeave's offering of cloud-based Grace Blackwell GPUs for intensive AI training.