GenAI In Your Environment:

Efficient

Over 80% of enterprise AI leaders told A16z they plan to increase open source model usage this year, and the majority are motivated by the need for better control — over their data, models, and interactions.

Running open source in your environment puts the latest models close to your data for better privacy, security, and easier customization while maximizing the GPUs you own.

But implementing efficient GenAI is hard. Challenges we have commonly heard from enterprises include the complexities of provisioning and scaling models, inefficiencies in GPU utilization, limited flexibility, and the lack of deep ML talent needed to operate these systems.