Tools, frameworks, and models for local AI
8 resources found for "Cloud"
Inference API for Anthropic's Claude models (Claude 1 since 2023). Like OpenAI, you pay per token, input and output, with request limits per plan: the frontier path with no servers of your own.
The cloud platforms for models: alternatives when local hardware isn't enough. Replicate and Runpod in the catalog are the child resources.
Serverless platform for running code and AI models on GPUs: you pay for real seconds of use, it scales to zero when idle, and you can run any open-weights model. One of the routes to inference on rented hardware without managing servers.
Inference API for OpenAI's frontier models (GPT series). You pay per token: a fixed price per million input and output tokens, no GPUs to manage, with rate limits per account tier.
Cloud gateway for LLM inference: a single API endpoint for hundreds of models (including open-weight MoE), with per-token pricing and automatic routing across providers. For Ling 3.1 Flash: $0.075/M input, $0.225/M output.
API platform to run ML models without managing infrastructure.
Serverless platform for deploying and auto-scaling AI models with GPUs.
A marketplace for renting GPUs: GPU owners put their capacity up for sale and rent it out by the hour or by period, at prices that follow demand. A middle path between frontier cloud and your own hardware.
