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Platforms and tools for hosting, fine-tuning, monitoring, and deploying machine learning models.
The leading open-source machine learning and AI model hub.
Free community access, Pro at $9/mo, Enterprise pricing available.
Data platform for AI providing high-quality training data and RLHF.
Custom enterprise pricing based on volume and labeling complexity.
Framework for developing applications powered by language models.
Open-source framework is free. LangSmith offers a freemium cloud model.
Run open-source machine learning models with a simple cloud API without managing any infrastructure.
Pay-as-you-go based on compute time
Fully managed vector database for AI applications.
Free starter tier, Standard tier starts from $70/month or usage-based.
The developer-first MLOps platform for machine learning teams.
Free for personal use, Team plans start at $50/user/month.
Data framework for connecting custom data sources to large language models.
Open-source libraries are free. LlamaCloud offers managed parsing and ingestion.
Cloud platform for building and running generative AI faster and cheaper.
Usage-based pricing for serverless inference and dedicated GPU instances.
Cloud computing platform providing affordable GPU instances for AI workloads.
Pay-per-hour for community/secure clouds. Serverless pricing per second.
The open-source embedding database for building AI applications.
Open-source version is free. Hosted cloud version coming soon.
Open-source vector database that stores both objects and vectors.
Open-source free version. Serverless cloud starts at $25/mo based on usage.
Serverless compute platform designed specifically for AI and ML teams.
Free tier includes $30/month in compute credits. Pay-as-you-go thereafter.
High-performance, massive-scale open-source vector database and search engine.
Free open-source version. Cloud managed clusters start with a free forever tier.
Fast, scalable AI model inference infrastructure.
Usage-based pricing depending on compute resources and GPU types utilized.