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Despite the excitement, organizations seeking to develop and deploy AI solutions face a series of challenges ranging from resource instability to platform complexity to a lack of customer support. In addition, data center vacancy rates are at historic lows, and most existing sites lack the power and cooling capacity needed to support the high density of next-generation GPUs. These challenges span from the physical to the digital, from steel to fiber, from electrons to bits, and from breakers to software. They continue to impede the large-scale adoption of AI solutions, preventing organizations from reaching their full AI potential.

In a recent discussion, experts explore the evolving landscape of data centers and AI investments. They emphasize the importance of operational excellence and the potential for significant returns by building dense clusters at low costs. The conversation highlights the global nature of technology shifts and the need for strategic positioning in AI investments. The discussion also touches on the J-curve concept, where initial productivity gains may be overestimated, but long-term impacts are often underestimated. The role of energy in AI training processes is considered crucial, with a focus on energy availability, cost, and environmental performance5. Additionally, the potential for overbuilding in AI infrastructure is acknowledged, with a call for careful navigation of investment risks.

In a recent discussion, experts explore the evolving landscape of data centers and AI investments. They emphasize the importance of operational excellence and the potential for significant returns by building dense clusters at low costs. The conversation highlights the global nature of technology shifts and the need for strategic positioning in AI investments. The discussion also touches on the J-curve concept, where initial productivity gains may be overestimated, but long-term impacts are often underestimated. The role of energy in AI training processes is considered crucial, with a focus on energy availability, cost, and environmental performance5. Additionally, the potential for overbuilding in AI infrastructure is acknowledged, with a call for careful navigation of investment risks.

**Crusoe announces the launch of Shared Disks, a new cloud storage product powered by VAST Data Platform. It is available to all Crusoe customers today, delivering a petabyte scale file system capable of hundreds of GBps in aggregate read and write performance for training workloads.**

**Crusoe announces the launch of Shared Disks, a new cloud storage product powered by VAST Data Platform. It is available to all Crusoe customers today, delivering a petabyte scale file system capable of hundreds of GBps in aggregate read and write performance for training workloads.**

WOBURN, Mass.--(BUSINESS WIRE)--SES AI Corporation (“SES AI”) (NYSE: SES), a global leader in the development and manufacturing of high-performance Li-Metal batteries, today announced a groundbreaking initiative to accelerate material discovery in electric transportation. By mapping the universe of small molecules using a cutting-edge supercomputer optimized for artificial intelligence (“AI”), this pioneering project aims to revolutionize the understanding of battery chemistry, enhance energy storage solutions, and advance energy efficient technology. The initiative will leverage Crusoe’s innovative and purpose-built AI cloud platform, powered by NVIDIA and Supermicro, showcasing a unique collaboration at the intersection of science, computing, and sustainable computing.

WOBURN, Mass.--(BUSINESS WIRE)--SES AI Corporation (“SES AI”) (NYSE: SES), a global leader in the development and manufacturing of high-performance Li-Metal batteries, today announced a groundbreaking initiative to accelerate material discovery in electric transportation. By mapping the universe of small molecules using a cutting-edge supercomputer optimized for artificial intelligence (“AI”), this pioneering project aims to revolutionize the understanding of battery chemistry, enhance energy storage solutions, and advance energy efficient technology. The initiative will leverage Crusoe’s innovative and purpose-built AI cloud platform, powered by NVIDIA and Supermicro, showcasing a unique collaboration at the intersection of science, computing, and sustainable computing.

by Michael Feil, AI Engineer and Leo Pekelis, Chief Scientist at Gradient AI

Crusoe Cloud customer Cartesia is on a mission to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. This intelligence can drive human-like experiences in a fast, multimodal, and compute-efficient way, enabled by their pioneering work on state space models (SSMs). At Crusoe, our goal is to not only help them be successful today, but to enable the future of their innovation.

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