Unlocking the power of Large Language Models with liquid cooling, renewable energy, and unmatched scalability.
Hewlett Packard Enterprise (HPE), a global leader in supercomputing solutions, sought to accelerate its AI initiatives, specifically within the realm of Large Language Models (LLMs). To establish a North American base for their AI Cloud solution, HPE required a partner with a unique combination of high-performance infrastructure, liquid cooling capabilities, and an unwavering commitment to environmental sustainability.
HPE required a solution to deploy large-scale AI applications efficiently and sustainably.
QScale provided a high-density liquid-cooled data center designed for scalability and minimal environmental impact.
QScale's technical expertise and commitment to sustainability were critical in enabling us to bring our AI Cloud to market quickly and responsibly. They are a true partner in innovation.
QScale, with its cutting-edge Q01 data center in Quebec City, emerged as the ideal solution. Powered by 100% renewable energy and designed for high-density workloads, Q01 offered HPE the flexibility and scalability needed to deploy its AI Cloud solution seamlessly. QScale's expertise in liquid cooling and heat reuse initiatives further aligned with HPE's focus on responsible AI development.
QScale's operational excellence has consistently impressed us at HPE, where their team’s proactive approach and responsiveness have been key to our success in maintaining peak computing performance.
Through this strategic partnership, HPE successfully launched their AI Cloud, empowering enterprises across industries to train, fine-tune, and deploy AI models at scale. QScale's sustainable infrastructure enabled HPE to minimize the environmental footprint of its solution while ensuring rapid deployment timelines.
The ongoing collaboration between HPE and QScale promises to unlock further advancements in AI. Together, they are poised to drive innovation in climate modeling, healthcare, and numerous other sectors by providing powerful, sustainable, and accessible supercomputing resources.
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