Sep 17, 2024, 3:00 AM
Sep 16, 2024, 5:00 AM

CoreWeave partners with Nokia for AI cloud networking in U.S. and Europe

Highlights
  • CoreWeave has selected Nokia to deploy its IP and optical platforms in datacenters across the U.S. and Europe.
  • The Nokia solutions will enhance performance, scalability, and energy efficiency to meet the demands of AI and machine learning workloads.
  • This partnership is expected to facilitate a world-class cloud experience for CoreWeave's customers as AI infrastructure continues to expand.
Story

CoreWeave has partnered with Nokia to enhance its AI cloud infrastructure by deploying Nokia's IP routing and optical transport solutions across its datacenters in the U.S. and Europe. This collaboration aims to build a robust networking backbone that can handle the increasing demands of artificial intelligence and machine learning workloads. The deployment will utilize Nokia's advanced technologies, including the FP5-based Nokia 7750 Service Router and the Nokia 1830 Photonic Service Interconnect, ensuring high-speed and reliable connectivity. The partnership is driven by the need for super-fast, reliable performance to support the growing data requirements of AI applications. CoreWeave, recognized as a leading hyperscaler, requires a network that can provide lossless and low-latency communications, which are critical for its operations. The Nokia solutions are designed to manage increased traffic efficiently while maintaining energy efficiency, addressing the challenges posed by the rapid expansion of AI technologies. Jim Julson from CoreWeave emphasized the importance of Nokia's hardware in meeting the performance and scalability demands of modern AI and ML clouds. As the demand for AI infrastructure continues to surge, the collaboration with Nokia is expected to facilitate a world-class cloud experience for CoreWeave's customers. Nokia's commitment to providing reliable and efficient networking solutions positions it as a key partner in this venture. The deployment of these technologies will not only support CoreWeave's current needs but also adapt to future growth and evolving traffic patterns, ensuring that the infrastructure remains robust and capable of handling the complexities of AI-driven workloads.

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