AI
CoreWeave Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Cloud AI Infrastructure
LIVINGSTON, N.J., July 09, 2026--CoreWeave, Inc. (Nasdaq: CRWV), The Essential Cloud for AI™, today announced that Gartner named it a Visionary in the 2026 Gartner® Magic Quadrant™ for Cloud AI Infrastructure.
About this update from Coreweave, Inc.
CoreWeave recognized for its Ability to Execute and Completeness of Vision LIVINGSTON, N.J., July 09, 2026 --( BUSINESS WIRE )-- CoreWeave, Inc. (Nasdaq: CRWV), The Essential Cloud for AI™, today announced that Gartner named it a Visionary in the 2026 Gartner ® Magic Quadrant™ for Cloud AI Infrastructure . From training the largest foundation models to inference, the gap between infrastructure built for AI and infrastructure retrofitted for AI has become the defining constraint for the teams pushing the frontier. The demands of the industry expose every layer of the stack – training runs spanning weeks, inference workloads serving billions of requests, and agentic systems operating continuously in production. General-purpose clouds, optimized across dozens of workload types, cannot consistently deliver the GPU utilization, network throughput, and operational reliability that frontier AI requires. "To us, this recognition tracks directly to how CoreWeave Cloud performs under real workloads," said Peter Salanki, co-founder and chief technology officer of CoreWeave. "Training, inference, and agentic workloads all drive different demands on customers. We've built CoreWeave Cloud to meet the demands of the full spectrum: orchestration through SUNK and CKS, throughput engineered for dense workloads, and observability from the metal up. The teams running the most demanding AI systems in production are the ones who see that difference first." CoreWeave believes that the Gartner recognition as a Visionary is grounded in outcomes CoreWeave helps customers achieve in production. Today, nine of the 10 leading foundation model providers rely on CoreWeave to stay at the frontier of AI. Mistral AI achieved 2.5x faster training on CoreWeave Cloud, compressing the cycle time between research hypothesis and result1. IBM delivered 80% faster model training for enterprise AI workloads2. CoreWeave was the first AI cloud to bring up and validate NVIDIA Vera Rubin NVL72, and — in collaboration with NVIDIA and IBM — submitted the largest-ever cluster to MLPerf Training v5.0 , a cluster 34x larger than the next GB200 submission. CoreWeave's core differentiators of its AI cloud include: