Building In-House AI Systems with Outerbounds and NVIDIA DGX Cloud Lepton
Ted Hisokawa Sep 09, 2025 05:42
Explore how Outerbounds and NVIDIA's DGX Cloud Lepton facilitate the development of in-house AI systems, offering enhanced security, privacy, and compliance for businesses.
In the rapidly evolving field of artificial intelligence, the ability for companies to develop and manage AI systems in-house is becoming increasingly crucial. Outerbounds, in collaboration with NVIDIA's DGX Cloud Lepton, is paving the way for businesses to own and operate AI components securely and efficiently. This approach not only addresses concerns about security and privacy but also enhances compliance with regulatory standards.
Outerbounds and the AI Stack
Outerbounds offers a cloud-native platform that facilitates the development and operation of AI systems within a company's own environment. Built on open-source Metaflow, Outerbounds provides developers with robust APIs to build, orchestrate, and continuously improve AI products at scale. This platform empowers businesses to manage sophisticated AI components, from training and inference to retrieval-augmented generation (RAG) systems, all of which depend heavily on GPUs.
NVIDIA DGX Cloud Lepton's Role
The introduction of NVIDIA DGX Cloud Lepton expands access to GPU resources, providing a unified interface that simplifies the integration of diverse compute resources. This access allows companies to overcome significant hurdles in building differentiated AI products. The collaboration between Outerbounds and DGX Cloud Lepton exemplifies how businesses can seamlessly integrate new infrastructure without the need for extensive migration, thereby reducing risk and effort.
Real-World Application: The Reddit Recommender Agent
To illustrate the practical application of these technologies, Outerbounds has developed a Reddit Recommender Agent. This AI system uses a dataset of nearly 100 million posts and comments to recommend suitable subreddits and posting styles. The architecture involves converting prompts into embeddings using NVIDIA's NeMo Retriever collection, processing them through a GPU-accelerated vector database (FAISS), and utilizing large language models (LLMs) to reformat prompts according to subreddit styles.
Efficient AI System Management
Outerbounds enables the orchestration of online agents and offline workflows on a single platform, supporting safe iteration and detailed tracking of all system components. This capability is crucial for A/B testing of models and agent versions, ensuring robust evaluation and optimization of AI systems. Additionally, the integration with NVIDIA DGX Cloud Lepton provides access to a deep pool of GPU resources, enhancing the efficiency and scalability of AI applications.
Future of In-House AI Development
As the demand for proprietary AI solutions grows, the combination of Outerbounds and NVIDIA DGX Cloud Lepton offers a compelling framework for businesses aiming to develop differentiated AI products. By providing a complete stack from scalable GPU compute to user-friendly software layers, these tools enable companies to meet enterprise deployment needs, including compliance and data residency considerations.
For more information on how to leverage these capabilities, visit NVIDIA's blog.
Image source: Shutterstock.jpg)