Crusoe Closes $600M in Series D Round at $2.8 Billion Valuation to Power AI
Funding will support the buildout of Crusoe’s vertically integrated, purpose-built AI cloud
Crusoe: Empowering the AI Revolution
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.
Investing in AI-Driven Platform Technology Shifts
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.
Investing in AI-Driven Platform Technology Shifts
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, Blue Owl Capital and Primary Digital Infrastructure Enter $3.4 billion Joint Venture for AI Data Center Development
The Build-to-Suit 200+ MW AI Data Center Capacity Developed by Crusoe is Located at Lancium Clean Campus Site Abilene, Texas
Crusoe, Blue Owl Capital and Primary Digital Infrastructure Enter $3.4 billion Joint Venture for AI Data Center Development
The Build-to-Suit 200+ MW AI Data Center Capacity Developed by Crusoe is Located at Lancium Clean Campus Site Abilene, Texas
Crusoe Announces Collaboration with VAST Data to Deliver High-Performance, Scalable Data Platform on Crusoe Cloud
**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 Collaboration with VAST Data to Deliver High-Performance, Scalable Data Platform on Crusoe Cloud
**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.**
SES AI Collaborates with NVIDIA, Crusoe, and Supermicro on AI for Science Initiative to Accelerate Material Discovery in Electric Transportation
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.
SES AI Collaborates with NVIDIA, Crusoe, and Supermicro on AI for Science Initiative to Accelerate Material Discovery in Electric Transportation
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.