CoreWeave shares rise on multi-year deal to power Perplexity workloads

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CoreWeave Surges on Multi-Year AI Inference Deal with Perplexity

Shares of CoreWeave (CRWV) experienced a significant premarket jump of nearly 6% on Wednesday, fueled by the announcement of a substantial multi-year partnership. The cloud infrastructure provider will serve as a key backend partner for Perplexity, an AI-powered search engine that has garnered high-profile backing from investors including Jeff Bezos and Nvidia.

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A Strategic Alliance for AI Inference at Scale

Under the agreement, CoreWeave will power Perplexity’s next-generation inference operations using dedicated NVIDIA GB200 NVL72 clusters. This specialized hardware is central to handling the real-time computational demands of AI models in production. The collaboration positions CoreWeave’s cloud platform as the foundational infrastructure for Perplexity’s Sonar and Search API products as they scale to meet growing user demand.

“AI applications running in production require more than just access to raw infrastructure – they require best-in-class performance and reliability as well as a cloud platform designed end-to-end for AI that simplifies compute operations,” said Max Hjelm, Senior Vice President of Revenue at CoreWeave. He emphasized that the partnership is a recognition of their ability to provide the specialized environment needed for mission-critical AI workloads.

Why AI Inference Speed and Reliability Are Critical

AI inference—the phase where trained models process new data to generate answers, recommendations, or classifications—is the user-facing engine of services like Perplexity. For an AI-driven search platform, factors like inference latency, stability, and scalability directly translate to search result quality, responsiveness, and overall user experience. The choice of cloud partner is therefore a core technical and business decision.

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Dmitry Shevelenko, Chief Business Officer at Perplexity, cited CoreWeave’s technical capabilities and collaborative approach as decisive. “We were impressed by the combination of CoreWeave’s technical aptitude and partner-first mindset that help AI-native companies accelerate their growth and scaling goals,” he stated. The partnership is expected to enhance Perplexity’s infrastructure efficiency and model quality, supporting its expansion into delivering AI search and automation services across various sectors.

The Rise of Specialized AI Cloud Providers

This deal underscores a major trend: AI companies are increasingly turning to specialized GPU cloud operators to meet explosive computational demands. CoreWeave has distinguished itself in this competitive field by achieving leading results in industry-standard MLPerf benchmarks and securing platinum rankings in SemiAnalysis ClusterMAX evaluations for both performance and reliability.

Perplexity has already begun deploying workloads on CoreWeave’s platform, utilizing its Kubernetes service for orchestration. Furthermore, as part of a broader multi-cloud strategy, the company employs Weights & Biases (W&B) Models for training and fine-tuning its AI systems, highlighting a sophisticated, hybrid approach to machine learning operations.

Internal Adoption Signals Deep Integration

Adding a layer of internal validation, CoreWeave has also adopted Perplexity’s Enterprise Max product for its own employees. This internal use provides CoreWeave’s workforce with integrated access to web search, research tools, and advanced AI models, serving as a live testing ground and demonstrating confidence in Perplexity’s enterprise offerings.

The market’s positive reaction reflects investor recognition of the strategic value in securing long-term infrastructure partnerships with proven performance in the AI era. As inference workloads grow in complexity and scale, alliances between specialized cloud providers and AI application companies are becoming a cornerstone of the modern tech stack.

Disclosure: This article was edited by Vivian Nguyen. For more information on how we create and review content, see our Editorial Policy.

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