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<\/a>\nFrom 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 \u2013 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.<\/p>
\n\"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.\"<\/p>
\nCoreWeave 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<\/sup>. IBM delivered 80% faster model training for enterprise AI workloads2<\/sup>. CoreWeave was the first AI cloud to bring up and validate<\/a> NVIDIA Vera Rubin NVL72, and \u2014 in collaboration with NVIDIA and IBM \u2014 submitted the largest-ever cluster to MLPerf Training v5.0<\/a>, a cluster 34x larger than the next GB200 submission.<\/p> \nCoreWeave\u2019s core differentiators of its AI cloud include:<\/p> \nThe Gartner recognition as a Visionary adds to CoreWeave's growing body of independent evaluations. CoreWeave consistently delivers industry-leading infrastructure performance, demonstrated by record-breaking MLPerf benchmark results<\/a>, its position as the only cloud to earn the top Platinum<\/a> ranking in both SemiAnalysis ClusterMAX\u2122 1.0 and 2.0, and its #1 ranking for inference speed and price-performance<\/a> for Moonshot AI\u2019s Kimi K2.6 in independent inference benchmarking conducted by Artificial Analysis.<\/p> \n1<\/sup>https:\/\/www.coreweave.com\/resources\/case-studies\/mistral-ai<\/a> \nGartner, Magic Quadrant for Cloud AI Infrastructure 2026, Dennis Smith, Ed Anderson, Ashish Banerjee, Alessandro Galimberti, Wataru Katsurashima, Carolin Zhou<\/p> \nGartner and Magic Quadrant are trademarks of Gartner, Inc., and\/or its affiliates.<\/p> \nGartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner\u2019s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.<\/p> \nAbout CoreWeave<\/b><\/p> \nCoreWeave is The Essential Cloud for AI\u2122. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to move at the pace of innovation, building and scaling AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave serves as a force multiplier by combining superior infrastructure performance with deep technical expertise to accelerate breakthroughs. Established in 2017, CoreWeave completed its public listing on Nasdaq (CRWV) in March 2025. Learn more at www.coreweave.com<\/a>.<\/p>\n