Nokia and Lenovo have recently announced a strategic partnership to develop advanced data center networking and automation solutions, targeting the needs of Artificial Intelligence (AI), Machine Learning (AI/ML), and compute-heavy workloads across enterprises, telecoms, and digital infrastructure and cloud providers.
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Integration of AI and DC Technologies
The collaboration will integrate Lenovo's ThinkSystem AI-ready servers and storage with Nokia's Data Center Network solutions, which include data center fabric, IP routing, and DDoS security portfolios, along with the recently announced data center network automation platform, Event-Driven Automation (EDA).
This combination will offer high-performance, secure, and energy-efficient connectivity crucial for training and deploying AI models across interconnected data centers, including those at the edge, Nokia said in a joint statement.
The integrated solutions emphasise seamless automation, real-time threat detection, and energy efficiency, addressing key data center concerns of security, sustainability, and adaptability in dynamic environments.
Enhanced AI/ML Workload Management
"Together, we provide a robust platform that meets the needs of telecommunications and enterprise sectors, enabling them to deploy AI clouds and manage their data efficiently," said Charles Ferland, Vice President Edge and Communications Service Providers at Lenovo. "With Nokia's automated data fabric and Lenovo's automated compute and storage solutions with Neptune liquid cooling technology, enterprises can confidently deploy cutting-edge sustainable infrastructure. This collaboration not only generates cost savings but also opens new revenue streams for providers through innovative AI and data consumption models."
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Vach Kompella, Senior Vice President and General Manager of IP Networks business at Nokia, said: "By combining Nokia's Data Center Fabric and Event Driven Automation with Lenovo's ThinkSystem AI portfolio, we deliver a high performance, scalable data center networking solution designed to efficiently manage and automate AI/ML workloads, with a strong emphasis on security and energy efficiency."
