The article discusses the increasing demand for high-performance computing solutions driven by artificial intelligence (AI) applications, particularly machine learning and deep learning algorithms. These AI workloads generate substantial heat within data centers, necessitating innovative cooling technologies to manage the computational intensity effectively.
Liquid cooling solutions, such as immersion cooling and direct-to-chip cooling, are highlighted as essential for dissipating heat associated with AI workloads. These technologies offer superior heat dissipation, energy efficiency, and scalability, making them well-suited for meeting the intense computational demands of AI applications in data center environments.
Datacenter Dynamics 15month
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
