Overview
River provides a unified Python API for sampling from and training hosted open-source large language models. Teams can run LLM inference, LoRA-based supervised fine-tuning, and reinforcement learning through one client without managing GPU clusters, model-serving systems, or distributed training infrastructure. Developers can create isolated training sessions, update and evaluate models, and save durable checkpoints for future inference or continued training. Autoscaling capacity supports workloads ranging from small experiments to high-throughput batches, while pay-as-you-go pricing aligns costs with actual usage. Key capabilities include generative AI, LLM inference, model fine-tuning, reinforcement learning, LoRA, open-source models, and AI infrastructure.
Contact sales@river.ai for a Private Offer.
Highlights
- LoRA-based fine-tuning & RL on open-source models, from 35B to 1T parameters. Train, sample, and serve with one small Python client
- State-of-the-art open-source models, available at several context lengths. More are added regularly
- Billing is metered on tokens for both inference and training, so cost tracks the work you actually do
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit |
|---|---|---|
River usage credit | River usage credit worth $0.01 | $0.01 |
Vendor refund policy
All charges for River usage are non-refundable, except where required by applicable law. If you believe a billing error has occurred or have questions about a charge, contact River Support at support@river.ai .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Email support: support@river.ai Documentation: https://docs.river.ai River provides email-based technical support for account setup, API integration, model training and inference, usage and billing questions, and troubleshooting. Buyers also receive access to product documentation, API examples, and implementation guides.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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