NetMind Model Library
Explore production-ready multimodal AI models across chat, embeddings, image, video, audio, and 3D with a unified, OpenAI-compatible API.
Frequently Asked Questions about NetMind Model Library
Find answers to the most common questions about NetMind Model Library, integration, deployment, and best practices to help you get started quickly and make the most of the platform.
Q What is the NetMind Model Library?
A
A curated catalog of multimodal AI models for chat, embeddings, image, video, and audio through a unified, OpenAI-compatible API and SDK.
Q Which modalities and AI models are supported?
A
Chat LLMs, embedding models for RAG and search, image and video generation, and audio (TTS/ASR). Each model card lists features, latency, and usage examples.
Q How do I integrate with one API and a unified SDK?
A
Create an API key and call any model via our unified SDK or REST API. OpenAI-compatible request/response shapes simplify migration from other providers.
Q Do you offer serverless endpoints and dedicated GPU deployments?
A
Yes. Use elastic serverless endpoints for bursty traffic, or dedicated single-tenant GPUs for predictable latency, throughput, and isolation.
Q How does pricing work?
A
Usage-based pricing per tokens, images, or minutes with transparent metering in the dashboard. Volume discounts and dedicated plans are available.
Q Do you provide a dashboard for usage, billing, and analytics?
A
Yes. Monitor requests, costs, latency, and error rates in real time and export usage for finance or capacity planning.