In the ever evolving AI landscape, organizations are faced with the choice between open-source versus closed-source models. While many developers find it easier to get started in the closed source ecosystem, they quickly realize it is ultimately more expensive, inefficient, and doesn’t have the security and controls required for their applications. Alternatively, open source models have quickly caught up to their closed counterparts and now deliver a cheaper and just as accurate solution that provides organizations with the security they need to run their operations. In addition, the pace of the open source community is iterating at speeds that are beyond belief and not only improving the accuracy of these models, but making them run even faster, especially on hardware that is better suited for AI beyond the GPU. With new open source models dropping every week and an active community fine-tuning even better versions daily, open source is making AI a commodity, with a wide range of cloud services for developers to choose from that make it even easier for them to use. Join Amit Kushwaha, Director of AI Engineering, SambaNova, as he breaks down for attendees the advantages of open-source models, why they are critical for fast product iteration, and how organizations can use them to tap into the best minds globally, accelerate their pace of innovation, and position themselves to shape industry standards while continuously advancing enterprise-grade solutions.
Diana is a DX Engineer at VictoriaMetrics. She is passionate about Observability, machine learning. She is an active contributor to the OpenTelemetry CNCF open source project and supports women in tech.
