VAST AI OS powers the entire AI workflow from data ingestion to retrieval. Build serverless functions on data pipelines with native vector storage to build agentic workflows. Ship real-time inference at scale.
Build on VAST
Resources for developers building on VAST. Discover documentation, use cases, and live demos to leverage the AI Operating System for unified data and real-time inference at scale.

Explore use cases, code, events, community and how to ship on VAST

Functions, Triggers, Pipelines
Learn how to build scalable workflows to power AI and Data applications.
Explore Use Cases
AI: Video Search, Summary
Build real-time AI pipelines for video ingestion and retrieval. Explore how to architect data pipelines for video semantic search.
Data: Quantitative Trading
Deliver the scale, performance, and ease of management to trading teams to understand market dynamics.
AI: Building Agents
Build AI pipelines for document ingestion and retrieval to power enterprise teams to research faster.
Checkout the Latest

Agent Coding at Long Context
Your coding agent reuses the same context every turn, so why does it keep getting slower? The answer is in the KV cache: once it fills up, earlier turns get evicted and recomputed from scratch. Here's how KV cache offloading breaks that ceiling.
Unlock Video Intelligence: Building Real-Time Video Search and AI Summary
Build real-time video ingestion and vector pipelines with models to enable semantic video search, retrieval, and LLM reasoning.
Maximize Inference ROI
AI cloud providers maintain SLAs for users running agentic workloads with large context windows. Performance matters, but architectural decisions come down to efficiently serving a range of budgets and performance needs.


