CoreWeave stock price rises due to partnership with Perplexity

LootboxPhobia · 2026-03-04T13:23:10+00:00

CoreWeave stock price rises 4% after announcing a strategic partnership with Perplexity. Perplexity will run inference workloads on the CoreWeave cloud platform and enhance search and data visualization capabilities using its AI tools, further supporting its multi-cloud strategy.

LootboxPhobia

2026-03-04 13:23:10

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Investing.com – CoreWeave (NASDAQ:CRWV) stock rose 4% on Wednesday after the company announced a multi-year strategic partnership with Perplexity to support AI inference workloads on its cloud platform.

Under the agreement, Perplexity will run its next-generation inference workloads on CoreWeave’s platform using dedicated NVIDIA GB200 NVL72 driver clusters. The partnership aims to support Perplexity’s Sonar and Search API ecosystem as usage grows.

CoreWeave will also deploy Perplexity Enterprise Max across its organization, enabling employees to search the web and internal knowledge bases, conduct research, visualize data, and access AI models within a single platform.

Max Hjelm, Senior Vice President of Revenue at CoreWeave, said, “We are proud to partner with Perplexity as they expand their inference workloads on CoreWeave’s AI cloud. AI applications running in production require not only access to raw infrastructure but also top performance and reliability, along with a cloud platform designed specifically for end-to-end AI to simplify compute operations.”

As part of the initial deployment phase, Perplexity has started running inference workloads using CoreWeave Kubernetes Service and training, fine-tuning, and managing models with W&B Models from experimentation to production.

This collaboration reflects Perplexity’s multi-cloud strategy and positions CoreWeave as a leading AI cloud provider for companies running advanced AI systems in production environments.

CoreWeave is the only AI cloud provider to achieve top-tier Platinum rankings in both SemiAnalysis ClusterMAX 1.0 and 2.0, which evaluate AI cloud performance, efficiency, and reliability.

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