CoreWeave Launches NVIDIA GB200 Grace Blackwell Systems
CoreWeave has launched NVIDIA GB200 Grace Blackwell systems at scale, with initial customers including IBM, Mistral AI, and Cohere, announced in a press release. These systems, part of CoreWeave's cloud services, are designed to advance AI model development and deployment.
The NVIDIA GB200 NVL72 rack-scale systems, combined with CoreWeave's cloud services, provide AI innovators with advanced networking and NVIDIA Grace Blackwell Superchips. These are specifically built for reasoning and agentic AI applications. CoreWeave's platform is optimized for performance and reliability, offering services like CoreWeave Kubernetes Service and Slurm on Kubernetes.
CoreWeave's rapid deployment of these systems underscores its commitment to providing cutting-edge AI infrastructure. The company has also recently achieved a new industry record in AI inference with these superchips, as reported in the latest MLPerf v5.0 results.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 22 HUMAIN and NVIDIA Plan 84 MW Saudi AI Infrastructure Expansion Oct 22 Google and Voltus Plan 1,070 MW Virtual Power Plant Oct 22 Modelyo raises $17 million for confidential cloud platform Oct 22 Entuity Adds GPU and Cooling Monitoring Across AMD, Intel and NVIDIA Oct 22 IREN Plans 300 MW AI Data Center in SpainSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
CommonAI Chooses Kao Data for UK AI Infrastructure Test Lab
NVIDIA Partners Expand European AI Clouds and Agent Controls
Wistron and Wiwynn Show NVIDIA Rubin AI Systems at OCP Summit
Cerebras to Supply 100 Megawatts of AI Systems to Gimlet Labs
Google Cloud Adds NVIDIA Vera Rubin A5X Instances
Daily AI Brief: the AI news that matters, in your inbox.