Backblaze and PureNodal Partner to Accelerate AI at Scale Delivering Cost-Effective, Enterprise-Grade Solutions for AI and HPC Workloads.
Backblaze, Inc., the cloud storage innovator providing a modern alternative to traditional cloud providers, announced a partnership with PureNodal, a next-generation cloud platform purpose-built for AI and high-performance compute (HPC) workloads. Together, the two companies will deliver an efficient, high-performance, and cost-effective solution for enterprise-scale workloads such as AI model training, data analytics, and media rendering.
As enterprises scale their AI-driven strategies, PureNodal is helping customers simplify deployment and accelerate outcomes with a cloud compute platform designed from the ground up for resource-intensive workloads. By combining PureNodal’s AI-optimized compute platform—including cloud fabric, low-latency software-defined networking (SDN), and high-performance infrastructure—with Backblaze’s proven B2 Cloud Storage, the partnership delivers a powerful, scalable foundation for AI and HPC workloads without the complexity or cost of legacy cloud solutions.
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“We are excited to partner with PureNodal to enable them to offer fast and affordable Backblaze B2 Cloud Storage embedded within their AI and HPC cloud platform,” said Jason Wakeam, Chief Revenue Officer, Backblaze. “PureNodal’s cloud platform together with our object storage, makes it easier—and more affordable—for customers to build the future of AI.”
“We designed PureNodal to address the performance, flexibility, and scalability that next-generation workloads demand,” said Russell Cozart, Chief Marketing & Product Officer of PureNodal. “Partnering with Backblaze lets us offer enterprise-grade object storage right alongside our compute—delivering better economics and a faster path to value for our customers.”
PureNodal Object Storage, Powered By Backblaze, is now available as part of the PureNodal cloud platform. The solution enables organizations to cost-effectively store and access massive volumes of unstructured data with enterprise-grade performance and reliability—ideal for AI, HPC, and other data-intensive workloads.
Source: Businesswire