AiThority Interview with Nadav Eiron, Senior Vice President of Cloud Engineering at Crusoe

Nadav Eiron, SVP of Cloud Engineering at Crusoe chats about Crusoe’s evolution over the years, myths around AI, AI innovations, and the Future of SaaS in this Q&A: 

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Hi Nadav, tell us about yourself and your role at Crusoe

I lead the Cloud Engineering team at Crusoe. I am passionate about bringing impact to the world by shepherding new technologies to the market, at a mass scale.

As a catalyst for change, I have led technologies through every stage, from conception to implementation, ensuring these innovations reach their full potential. During my time in tech, I’ve acquired experience navigating complex market landscapes and identifying opportunities for growth. Moreover, I understand that it is not just about introducing new technologies, but also creating ecosystems that allow these innovations to disrupt traditional industries responsibly and ethically.

Like the Internet 20 years ago, AI and ML are at a place today where it is moving from being a research interest to something that’s relevant to almost every human endeavor. I thrive on making the process of going from research to worldwide impact, effective and impactful by building teams that focus on the confluence of research, technology, and also business.

Also Read: Key Enterprise Data Trends for 2025: Industry Expert Predictions

How has Crusoe evolved over the years?

Crusoe’s mission is to align the future of computing with the future of the climate. As the demand for AI grows, so does the demand for the infrastructure and resources to support it. We utilize clean, abundant, and low-cost energy to power computing resources and have over 15 gigawatts in development. We recently announced a new data center in Abilene, Texas with over 1.2 gigawatts planned, which will make it one of the largest high-performance computing clusters in the world. With our recent $600M fundraise, we will invest in expansion and growth across the value chain, including data centers and Crusoe Cloud. Our goal is to establish Crusoe Cloud as the premier cloud platform for AI. We have made significant investments in enhancing its usability to streamline operations and enable customers to deploy their workloads efficiently. Moving forward, we remain committed to expanding Crusoe Cloud’s managed services to simplify complexity and democratize access to AI.

What is your near future product roadmap looking like with your recent funding round?

Along with our recently announced $600M series D funding round, we announced the general availability of Crusoe Cloud, a high-performance cloud platform tailored for AI and machine learning (ML) workloads. Developers and data scientists can now access Crusoe Cloud’s cutting-edge resources, managed services, and enterprise-grade support for AI exploration, model training, fine-tuning, and scalable inference workloads. We look forward to adding more AI-specific managed services to Crusoe Cloud soon to expand access to AI solutions.

How is the demand for AI infrastructure increasing today and what will impact the market in 2025 and beyond: what do companies need most when it comes to AI infrastructure?

The demand for AI remains strong, but we are observing a shift in how this capacity is being consumed. A year or two ago, customers primarily sought direct access to NVIDIA GPUs, mainly for training jobs. Today, however, more customers are looking to consume capacity through higher-level products such as managed inference or fine-tuning services, where the complexity of the underlying infrastructure is abstracted. This evolution reflects the natural progression of a maturing marketplace.

What are the biggest myths surrounding AI that you’d like to bust in this conversation?

There are several. First, while AI has made significant strides in recent years, we are still in the early stages of its revolution. The full extent of AI’s impact on our lives and society has yet to unfold—these are merely the first steps

Similarly, the way AI operates today will likely evolve significantly in the future. We have seen similar misconceptions in the past, such as the famous remark, ‘There’s no reason for any individual to have a computer in his home,’ or the belief that ‘640KB ought to be enough for anybody.’ Just as computing far exceeded these early expectations, AI has the potential to be much more than what it is today. We must not sell it short.

In that vein, while continuous improvements in LLMs is critical to progress today, I foresee even bigger opportunities in the applications that will be built on top of these foundational technologies. It will be exciting to see the progress that will come from specific use case improvements.

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A few of the most innovative AI players that have piqued your interest of late?

Rather than talk about the players, maybe, I’d like to talk about the innovations themselves, and the areas in which they occur. Here are a few:

• While GPUs have been key to driving the current wave of AI, I think future hardware innovations will come with much more targeted designs that solve specific use cases. Several ideas in this space are reaching the level of working silicon, and, with a more mature AI application, we can gain traction in the market. Diversity in hardware design is a good thing!
• Reasoning and chain of thought are other areas I’m excited about. If we think about the road to AGI, this is to me a crucial step. We don’t consider people “intelligent” if they can’t explain themselves, usually. We see models like GPT o3 gaining traction and opening the door to more widespread development and adoption of this technology.

Some thoughts on the future of AI and SaaS before we wrap up?

I’m admittedly biased, but I believe the biggest obstacle to AI having a greater positive impact on everyday life is its complexity. Today’s AI is deeply rooted in high-performance computing (HPC), a field often seen as the last stronghold of experts in white lab coats. To drive broader adoption, AI must become more accessible, and offering it as a service is the key to achieving that. Just as with traditional computing, I expect higher-level SaaS solutions to become increasingly mainstream, serving as the foundation for the next wave of innovation

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