SambaCloud

What it does

SambaCloud is an inference API that accepts requests for open-source language models such as Llama, DeepSeek, Qwen, and gpt-oss-120b and returns model outputs such as generated text. Some models also accept image or audio input. Developers can call it through SambaNova's OpenAI-compatible endpoints or through Anthropic Messages API support by setting a base URL and API key.

Teams commonly use it as the model backend for AI applications and agent pipelines. Existing OpenAI-style code can be pointed at SambaNova by changing the API key and base URL. The platform is positioned around fast inference on large open-source models, with speed figures reported by Artificial Analysis, and states that it does not collect user prompts or data.

It is aimed at developers and engineering teams that need high-throughput, low-latency inference on large open-source models. Using it requires a SambaNova Cloud account and an API key. Pricing is usage-based per million input and output tokens, with separate cached-input rates for some models, so per-model rates should be reviewed on the pricing page before scaling.

What it can do

• Serve inference for large open-source models such as Llama, DeepSeek, Qwen, and gpt-oss-120b
• Text, image, or audio processing depending on the model
• OpenAI-compatible endpoints, used by setting the SambaNova API key and base URL
• Anthropic Messages API support
• Prompt caching for supported models, such as MiniMax M2.7
• Running multiple models at the same time for multi-step or agentic pipelines

Works with

• CrewAI
• Hugging Face
• Cline
• AWS

Example workflows

Migrate an OpenAI-compatible app

Input: an existing app using the OpenAI SDK. Steps: set the API key to a SambaNova key, set the base URL to SambaNova's endpoint, and choose a supported model. Output: the same app calls SambaNova-hosted models without rewriting its code.

Multi-model agent pipeline

Input: an agent workflow that needs several models. Steps: route different steps to different open-source models served on SambaCloud, using frameworks such as CrewAI. Output: a coordinated sequence of model responses from the chosen models.

Before you choose

• Pricing is per million tokens and varies by model and by cached versus uncached input, so estimate costs per model before scaling.
• The no-collection-of-prompts statement is a product claim on the page; review SambaNova's terms for your own compliance needs.
• Speed figures are third-party benchmarks from Artificial Analysis; check current results for the specific model you plan to use.

Listed under

• Coding
• Sandboxes and infrastructure
• AI inference
• API
• Developers
• Fast inference
• LLM hosting
• Open-source models

Get started

Sign up at SambaNova Cloud, generate an API key, and set the base URL in OpenAI-compatible code.

1. Create a SambaNova Cloud account at cloud.sambanova.ai and generate an API key.
2. Set the API key and base URL in your client, using the OpenAI-compatible endpoint or the Anthropic Messages API.
3. Choose a supported model from the pricing or docs list and send a test request, following the quickstart in the docs.

Charged per million input and output tokens, with separate cached-input rates for some models. Check the pricing page for current rates and any plan or trial terms.

Source: cloud.sambanova.ai/plans/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• SambaCloud | Full-Stack AI Platform for Large Open-Source Models ↗sambanova.ai
• Pricing ↗cloud.sambanova.ai
• Private, Secure & High-Performance AI for Enterprise | SambaNova ↗sambanova.ai
• SambaCloud Dashboard | Build with Fast AI Inference ↗cloud.sambanova.ai

Company website

sambanova.ai: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.