Substrate AI Inference Platform
Optimized API for multi-step AI programs
Overview
What is Substrate AI Inference Platform?
Substrate is a platform for building compound AI systems. It offers powerful SDKs with optimized AI models, vector storage, a code interpreter, and agentic control flow. It is designed as an infrastructure for intelligent software, providing simple abstractions for building complex workflows by connecting modular building blocks called nodes. Substrate is optimized for multi-step AI workloads, offering automatic workload tuning, maximum parallelism, and fewer roundtrips.
What is Substrate AI Inference Platform used for?
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Top Features
- Optimized AI models
- Vector storage
- Code interpreter
- Agentic control flow
- Automatic workload tuning
- Maximum parallelism
- Simple abstractions for compound AI
How to use Substrate AI Inference Platform?
Users can describe their tasks by connecting components (nodes) within the Substrate platform. The platform automatically optimizes the workflow as a directed acyclic graph, merging nodes that can be run in a batch. Substrate provides SDKs in Python and TypeScript for building compound AI systems.
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Pros & Cons
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Use Cases
- Building complex AI workflows by connecting modular building blocks
- Creating stories using language models and summarizing them
- Developing agentic AI applications
Substrate AI Inference Platform Pricing
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