Listed together in guide “AI platforms and infrastructure”
Community platform for sharing and discovering open image-generation models, LoRAs, and generated art.
Freemium
Use cases
- Finding fine-tuned models for specific art styles
- Publishing and versioning your own trained models
- Generating images without a local GPU
Pricing: Browsing and downloads are free; on-site generation and training consume Buzz credits, available through memberships or one-off purchases.
Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “AI platforms and infrastructure”
Platform hosting machine learning models, datasets, and demo apps, centered on open-source AI.
Freemium
Use cases
- Discovering and downloading open models and datasets
- Sharing research artifacts and demos
- Deploying models via managed inference endpoints
Pricing: Public hosting and downloads are free; paid plans cover compute, inference endpoints, and enterprise features.
Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “AI platforms and infrastructure”
Platform from Quora providing access to multiple AI chatbots and models through a single interface.
Freemium
Use cases
- Comparing answers across multiple models
- Accessing several paid models under one subscription
- Building and sharing custom chatbots
Pricing: A free tier is available; the paid subscription grants monthly compute points usable across premium models.
Sources
This record was last reviewed on 2026-07-30.
Listed together in guide “AI platforms and infrastructure”
Platform for running and deploying open-source machine learning models via a hosted API.
Paid
Use cases
- Adding open models to apps without managing GPUs
- Deploying custom models via Cog
- Prototyping with community models
Pricing: Pricing is per second of active compute with no subscription; idle deployments scale to zero and are not billed.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Running models yourself
Managed AWS service for building applications with foundation models from multiple providers via one API.
Paid
Use cases
- Enterprise apps that need a choice of models under one API
- RAG systems grounded in private company data
- Regulated workloads requiring AWS data controls
Pricing: Pricing is usage-based per input/output token, with on-demand and provisioned-throughput options.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
Platform for deploying and serving machine-learning models as scalable APIs.
Paid
Use cases
- Serving custom and open models in production
- Low-latency inference APIs
- Scaling ML services reliably
Pricing: Dedicated GPU compute is billed per minute with no charge for idle time, model APIs are billed per million tokens, and new accounts come with credits.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
AI compute company whose inference cloud serves open language models on wafer-scale hardware.
Freemium
Use cases
- Latency-sensitive applications needing fast tokens
- Serving open models at high speed
- Large-model training on specialized hardware
Pricing: Inference is usage-priced per token and starts with a free trial; training systems and on-premises deployments are sold separately.
Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
Generative media inference platform for running diffusion and other models with a fast API.
Paid
Use cases
- Adding image and video generation to apps
- Serving open diffusion models at scale
- Prototyping generative media pipelines
Pricing: Pricing is usage-based per inference or compute second; new developers receive free credits.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.