I really like the flexibility CoreWeave provides me. It's great to be able to access powerful GPU resources for demanding workloads without needing to overcomplicate things or invest in physical infrastructure. It offers the ability to scale resources up or down depending on my needs, which makes managing GPU-intensive tasks much easier and more efficient.

What I like best about CoreWeave is the combination of high-performance GPU infrastructure and the ability to scale resources quickly as workloads change. Provisioning compute is straightforward, performance has been reliable for demanding AI workloads, and the flexibility helps reduce the time spent managing infrastructure so I can focus more on building and running models.

Superior bare-metal GPU performance with early, scalable access to Nvidia GPUs. I also like the Kubernetes-native architecture, along with the cost efficiency and transparent pricing. The specialised technical support is another strong point.