WEKA and Nebius Partner to Catalyze AI Innovation With Ultra-High-Performance Cloud Infrastructure Solution
- Partnership enables scalable compute and storage resources with ultra-high performance and microsecond latency
- Integration allows scaling from petabytes to exabytes of data
- Successfully deployed 2PB storage solution with a major research institution
- Solution provides high throughput, IOPS, and low latency at scale
- None.
Insights
Nebius-WEKA partnership enhances GPU cloud services, strengthening Nebius' competitive position in the growing AI infrastructure market.
This partnership represents a strategic advancement for Nebius (NBIS) in the competitive AI infrastructure market. By integrating WEKA's high-performance storage software into its AI Cloud platform, Nebius is addressing a critical bottleneck in AI workloads - the ability to efficiently manage massive datasets with low latency. The multi-thousand-GPU cluster deployment mentioned for a research institution demonstrates real-world validation of the solution's scalability.
The technical specifications are particularly noteworthy - WEKA's platform enables scaling from petabytes to exabytes of data while maintaining microsecond latency, which is crucial for complex AI training and inference workloads. This addresses the growing need for specialized "neoclouds" that can handle increasingly complex AI models and datasets.
For Nebius, this partnership enhances its product differentiation in the crowded cloud services market. By offering a premium tier powered by WEKA's technology, Nebius can target high-value enterprise and research customers with demanding performance requirements. The successful implementation with a leading research institution serves as a valuable reference customer that could accelerate adoption among similar organizations.
The timing aligns with the industry-wide shift toward purpose-built AI infrastructure, positioning Nebius to capture market share in this growing segment. While financial terms weren't disclosed, this partnership strengthens Nebius' competitive positioning against larger cloud providers by offering specialized AI infrastructure with optimized performance characteristics.
Organizations that run AI model training and inference processes at scale often face challenges related to compute, memory, storage, and data management, which can impede innovation. As demand for modern AI infrastructure grows, organizations are embracing specialized neoclouds for access to turnkey infrastructure that can power their AI ambitions. In turn, neoclouds are seeking innovative ways to optimize the performance and efficiency of their GPU data center infrastructure.
Nebius AI Cloud delivers a cutting-edge, cost-optimized neocloud environment that empowers innovators of all sizes 鈥� from enterprises to startups to research institutions 鈥� to operationalize AI workloads. To fuel the premium tier of its next-generation platform, Nebius selected WEKA's high-performance storage software to turbocharge its AI Cloud performance while effortlessly scaling from petabytes to exabytes of data.
A leading research institution selected Nebius' purpose-built AI infrastructure to power its large-scale experimentation and model development efforts, reserving a multi-thousand-GPU cluster and leaning on Nebius AI Cloud's developer-friendly platform optimized for AI/ML workloads.
To further tailor the environment to its exacting operational needs, the customer requested the integration of WEKA's data platform, citing previous success with WEKA and the need for features such as user and directory quotas. With 2PB of WEKA storage deployed alongside Nebius' compute infrastructure, the institution now benefits from a high-performance, scalable, and fully managed platform that supports the rigorous demands of cutting-edge AI research.
"WEKA exceeded every expectation and requirement we had," said Danila Shtan, CTO at Nebius. "The WEKA solution not only delivers outstanding throughput, IOPS, and low latency at scale while effortlessly managing mixed read and write workloads, but it also provides exceptional metadata management and streamlined multitenancy."
"We are proud to be collaborating with Nebius to deliver high-performance, cloud-based solutions that maximize their AI innovation while minimizing infrastructure complexity," said Liran Zvibel, cofounder and CEO at WEKA. "Together, Nebius and WEKA are redefining what's possible when high-performance storage meets AI-first infrastructure, providing a unified solution that is a catalyst for enterprise AI and agentic AI innovation."
Learn more about the Nebius AI Cloud solution powered by WEKA: .
About Nebius听
Nebius is a technology company building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, an AI-native cloud platform, and tools and services for developers. Headquartered in
鈥峊he Nebius AI Cloud platform has been built from the ground up for intensive AI workloads. With proprietary cloud software architecture and hardware designed in-house, Nebius gives AI builders the compute, storage, managed services and tools they need to build, tune and run their models.
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About WEKA 听
WEKA is architecting a new approach to the enterprise data stack built for the era of agentic AI. The WEKA庐 Data Platform sets the standard for AI infrastructure, providing a cloud and AI-native foundation for enterprise AI that can be deployed anywhere with seamless data portability across on-premises, cloud, and edge environments. It transforms legacy data silos into dynamic data pipelines that dramatically increase GPU utilization and make AI model training, inference, and HPC workloads run faster and more efficiently, delivering microsecond latency performance at scale. WEKA is helping the world's most innovative enterprises and research organizations to accelerate time to market, discovery, and insights with AI, including 12 of the Fortune 50. Visit听听to learn more, or connect with WEKA on听听and听.
WEKA and the WEKA logo are registered trademarks of WekaIO, Inc. Other trade names used herein may be trademarks of their respective owners.
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