If the bevy of look-alike summer event flyers flooding our timelines are any indication, we are fully in the AI era, and we won’t be turning back. While it seems like we’re just scratching the surface of end user applications of GenAI, companies are looking to adapt their businesses to incorporate GenAI. However, many are not quite sure how to do so in a way that is sustainable, both from a business perspective and in terms of environmental impact.

Enter CoreWeave, where they are actively customizing AI innovation for a variety of clients to develop cloud infrastructure intentionally created with AI in mind.

CoreWeave’s approach to creating a modern infrastructure stands out from that of other companies in this space in that they directly address the fact that so much compute capacity (up to 65%) is lost due to system inefficiencies once embedded in GPUs. With that and other factors in mind, the company built out data centers around GPU clusters powered by NVIDIA along with powerful and sophisticated infrastructure solutions across networking, storage, and beyond.

In turn, their clients and partners get to build and deploy GenAI applications with the assurance that CoreWeave is delivering the best performance possible for their workloads. CoreWeave Cloud was purpose-built for AI, delivering up to 20% higher GPU cluster performance than alternative solutions. The company also allows partners to combine a variety of GPUs in a single server for increased access to compute. That access to tens of thousands of NVIDIA Blackwell systems in a single site also means having the ability to unlock the power of over 100,000 GPU megaclusters.

As CoreWeave built out this infrastructure and began thinking through what it would mean to the world of GenAI, the company never lost sight of one of the key reservations many consumers still have about AI: its impact on the environment. The company’s solutions are all created with future-forward sustainability in mind. Its deployments of NVIDIA Blackwell GPUs, for example, are liquid-cooled for a cutting-edge, sustainable design capable of supporting an impressive 130kW of rack power. That approach also allows for improved performance, lower costs, and better energy efficiency.

Beyond infrastructure building, network services, multi-level storage, the products that make this all possible and solutions including AI Model Training, CoreWeave also prides itself on giving clients access to an army of actual people who can help external teams make the most of all of its offerings. This DevOps and infrastructure engineering support supports clients from burn-in to deployment and beyond, and their human-in-the-loop automation is supported by data center technicians on-site and a FleetOps team to manage cluster health. 

In other words: CoreWeave is clear on the fact that the future of AI and the future of computing simply cannot happen without people. More specifically: it cannot happen without the people who truly understand how to create that future while avoiding both mistakes of the past and any potential obstacles up ahead.

The truth is, AI is only as scary as those building for and around it. And the more diverse and inclusive that workforce is, the better it will be not just for those using these platforms and GenAI applications, but for the generations who will continue this work.

If you can see yourself as part of the solution building these solutions, visit CoreWeave’s Careers Page to see if your future might live there.