Sold by: River AI
River is an AI training and inference platform for sampling from and fine-tuning hosted open-source models through a single Python client. Teams can run inference, LoRA-based supervised fine-tuning, and reinforcement learning on autoscaling infrastructure with pay-as-you-go pricing.
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
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
River usage credit | River usage credit worth $0.01 | $0.01 |
Dimensions summary
You pay through a single dimension: River usage credits, each worth one cent. This is a usage-based model, so cost tracks the work you actually do. Billing is metered on tokens for both inference and training. You buy credits and draw them down as you use the service, rather than committing to a fixed quantity upfront. There are no separate tiers or instance sizes to choose between. Your spend scales directly with how many credits your token usage consumes.
Top-of-mind questions for buyers
Each credit is worth one cent and draws down against token usage. Billing meters tokens for both inference and training. Credits convert directly into the token work you perform, so your consumption of credits tracks the number of tokens processed for your models.
Both inference and training meter on tokens, so credits deplete for each. Sampling and serving consume tokens during use. Training consumes tokens as the model updates its weights. Cached prompt tokens are billed at a reduced rate compared to standard prompt tokens.
Yes. Beyond token metering, checkpoint storage is billed per gigabyte per month. Keeping a saved model checkpoint draws down credits over time based on its stored size. Longer context lengths are priced separately on request rather than at standard rates.
river.ai
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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 .
Legal
Vendor terms and conditions
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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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