Regarding areas for improvement, I think Data Lens could be enhanced from Nutanix's side, but it has been a long time since I logged into that console, so I do not remember much. It is a SaaS-based offering on the Nutanix portal. It is not something you deploy on-premises; it is not on-prem access. You connect your cluster to the SaaS-based Nutanix and then access the Lens console. I need to check it since it has been almost two or three months since I logged in. Nutanix Enterprise AI actually needs to improve a lot if I compare it with any other product such as NVIDIA and other offerings in the market. Nutanix Enterprise AI still requires a lot of work. I did not check that in much detail technically, but whatever I thoroughly checked, it still lags behind in many features. When it comes to AI-related features, I think the ecosystem of Nutanix is not as big as NVIDIA because NVIDIA has its own inferencing system and model training platform such as NeMo, NeMoTron, and others. Nutanix does not have such things. It can be built using NVIDIA CUDA libraries, but what I saw when I was testing the product is that you can run NVIDIA NeMo and PyTorch and two other things, but as a software, Nutanix does not have an end-to-end platform. That is something Nutanix should focus on.
