At Extreme Investor Network, we are excited to share the latest collaboration between NVIDIA and Outerbounds in revolutionizing LLM-powered production systems. In recent years, the landscape of language models has rapidly expanded, with various variants like large language models (LLMs) and small language models (SLMs) becoming more accessible for commercial use. This collaboration aims to streamline the development and deployment of these advanced microservices and MLOps platforms.
NVIDIA NIM, a cutting-edge platform, provides containers for self-hosting GPU-accelerated microservices for both pre-trained and customized AI models. On the other hand, Outerbounds, a spinoff from Netflix, leverages the open-source Metaflow framework to power their MLOps and AI platform. Together, they enable efficient and secure management of LLMs and the systems built around them.
The partnership between NVIDIA and Outerbounds offers a range of prepackaged and optimized community-created LLMs that can be deployed in private environments, ensuring data governance and security. This collaboration is especially beneficial for companies looking to develop LLM-powered enterprise applications, as it allows for secure deployments across cloud and on-premises resources.
A new term, LLMOps, has emerged to describe the management practices related to large language model dependencies and operations, complementing the broader concept of MLOps that encompasses overseeing machine learning models across different domains.
The development process for LLM-powered systems involves three stages. The first stage focuses on setting up a productive development environment, fine-tuning models, and testing with real-world data. The second stage emphasizes continuous improvement through proper version control and monitoring, while the final stage includes integrating CI/CD practices for smooth production roll-outs and updates.
By approaching LLM-powered systems with a focus on resilience and continuous improvement, organizations can leverage NVIDIA NIM’s standardized container images to build robust and innovative applications. With the right practices in place, businesses can create stable and secure production systems that adapt to evolving business needs.
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