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Cast AI raises $108M to get the most out of AI, Kubernetes and other workloads
- Cast AI, a startup focusing on optimizing workloads for AI and other tasks, has raised a $108 million Series C funding round to expand its business in core markets and enhance research and development.
- The company aims to improve efficiency in GPU utilization and workload distribution across GPUs to accommodate more workloads.
- Cast AI, based out of Miami, is heavily focused on European development locations and boasts 2,100 customers, including companies like Akamai, BMW, and HuggingFace.
- The startup integrates with major cloud providers and helps analyze cloud and on-premise capacity to optimize cost-performance ratios in workload distribution.
- With only 10% of CPUs and 23% of memory being utilized on average, Cast AI addresses the need for better resource allocation amidst a shortage of processors for AI models.
- In its Series C round, G2 Venture Partners and SoftBank Vision Fund 2 lead the investment, with notable backers like Aglaé Ventures and previous investors participating.
- Cast AI is collaborating with industry giants like OpenAI and Crusoe Energy on projects such as the Stargate AI infrastructure, aiming to facilitate efficiency in AI data centers.
- The company was founded by Yuri Frayman, Leon Kuperman, and Laurent Gil, with a background in machine learning startups and cloud-based cybersecurity ventures.
- Cast AI's initial focus was on optimizing cloud use and allocation for Kubernetes workloads, but it has since seen significant growth and interest in its AI-related services.
- SoftBank Investment Advisers noted that Cast AI is redefining cloud efficiency during a surge in infrastructure demands, while investors recognize the company's pioneering work in automation.
- With its history of developing automation technologies, Cast AI is recognized as a leading player in cloud efficiency and workload optimization in the era of AI advancements.
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