Substrate AI Inference Platform FAQs

Question 1

What is Substrate?

Accepted Answer

Substrate is an AI inference platform designed to run multi-inference workloads efficiently. It provides SDKs and infrastructure for building compound AI applications with optimized performance, parallelism, and low latency.

Question 2

What are the key features of Substrate?

Accepted Answer

Key features include perfect parallelism, opportunistic batching, zero roundtrips, near-instant communication between nodes, continuous performance optimization, and the ability to run entire graphs of many nodes on a single machine with microsecond communication.

Question 3

How does Substrate differ from other AI frameworks?

Accepted Answer

Substrate allows developers to write less code, run more inference, and deploy high-performance programs without managing infrastructure. It optimizes for compound AI workloads and eliminates the need for multiple API calls to different providers.

Question 4

What types of AI models and capabilities does Substrate support?

Accepted Answer

Substrate supports various AI models and capabilities including language models, image generation, vector storage, code interpretation, and logical control flow.

Question 5

How does Substrate handle inference execution?

Accepted Answer

When calling substrate.run(), the graph is automatically executed to maximize parallelism and minimize latency and data round-trips. It uses a concurrency limit instead of rate limits to manage scheduling of nodes.

Question 6

Who is using Substrate?

Accepted Answer

Companies like Substack have migrated their generative AI, semantic search, and recommendation workloads to Substrate. Maven has also replaced other tools like LangChain, OpenAI, and Pinecone with Substrate.

Substrate AI Inference Platform Howto

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How to Use Substrate AI Inference Platform