As financial institutions become more sophisticated in their use of Generative AI and move from experiments to production-grade enterprise deployments, they face several challenges including:
- A rapidly changing landscape of small to large LLMs including commercial and open-source LLMs utilizing RAG applications
- Data gravity, regulations, and security force firms to target multiple deployment environments including on-prem, private, and public cloud
- Others: Lack of accuracy, data response hallucinations, high latency, low scalability, and high costs
To seamlessly produce and deploy, they need to have a flexible and scalable end-to-end approach. Red Hat and NVIDIA work together to enable an end-to-end solution built on OpenShift AI and NVIDIA AI Enterprise, including NIM, that enables enterprises to maximize efficiency and performance and maximize their AI investment.
