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Iris Energy Partners with WEKA to Optimize Generative AI Workloads

Iris Energy Limited a leading owner and operator of institutional-grade, highly efficient Bitcoin mining data centers powered by 100% renewable energy, today announced it is partnering with WEKA, the data platform software provider for performance-intensive workloads, as part of its entry into the generative AI market.

Key Highlights

  • Partnership with WEKA to provide innovative storage and data management solutions for generative AI and performance-intensive workloads
  • Enables optimized GPU-stack storage performance within Iris Energy’s data centers

Iris Energy has announced a partnership with WEKA as part of the Company’s entry into the generative AI market.

As part of the partnership, Iris Energy will utilize the WEKA Data Platform to provide storage and data management solutions for generative AI and performance-intensive workloads.

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WEKA’s software-defined, hybrid cloud-based data architecture is expected to provide a high-performance solution for GPU optimization within the Company’s data centers that is simple, scalable, sustainable and secure.

Daniel Roberts, Co-Founder and Co-CEO of Iris Energy, commented:

“This partnership enables Iris Energy to provide enhanced GPU cloud and colocation experiences within our next-generation data centers through WEKA’s innovative storage and data management solutions. We look forward to forging a long-term partnership with WEKA in servicing the growing generative AI and GPU compute markets.”

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Liran Zvibel, CEO of WEKA, commented:

“WEKA is pleased to partner with Iris Energy, uniting their expertise in running 100% renewables-powered data centers optimized for power-dense compute with the WEKA Data Platform’s advanced storage and data management software for high-performance AI compute environments. Together, we will enable enterprises looking to harness the power of generative AI for their strategic business and research and development initiatives to rapidly scale their accelerated computing capabilities more sustainably while significantly reducing time-to-market.”

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