SambaNova is an AI inference platform for developers, enterprises, and infrastructure operators running large open-source models and agentic workloads. It combines cloud services with deployable hardware and software for cloud, on-premises, hybrid, and air-gapped environments.
SambaNova is an AI inference platform for serving large open-source models and coordinating multiple models in generative and agentic applications. It combines RDU-based hardware, dataflow processing, tiered memory, model-management software, and APIs into a stack that can be consumed through SambaCloud or deployed in an organization's own infrastructure.
SambaCloud provides managed inference for models such as DeepSeek, Llama, Qwen, MiniMax M2.7, Gemma 4 31B, and gpt-oss-120b. SambaNova also offers SambaRack systems and SambaOrchestrator for organizations that need cloud, on-premises, hybrid, or air-gapped deployment options. The platform is aimed at developers building AI applications and enterprises that need control over their models, data, and deployment environment.
SambaCloud provides hosted inference for a range of large open-source models, including DeepSeek, Llama, Qwen, MiniMax M2.7, Gemma 4 31B, and gpt-oss-120b. Supported models can cover text, image, or audio workloads.
Developers can move an application from another provider by using SambaNova's OpenAI-compatible endpoints, setting the SambaNova API key and base URL, and selecting a supported model.
SambaNova's Reconfigurable Dataflow Unit uses dataflow processing and a three-tier memory architecture to support inference for large models, including workloads that keep multiple models available.
SambaOrchestrator provides tools for model deployment, monitoring, automatic scaling, load balancing, server management, and cloud creation across data-center environments.
The platform can be deployed in cloud, on-premises, hybrid, and air-gapped environments. SambaNova states that customers own their models and control their data; SambaCloud states that it does not see or collect user data or prompts.
SambaCloud lists integrations with CrewAI, Hugging Face, Cline, and AWS, giving developers ways to connect inference with existing AI frameworks and development tools.
Teams can combine several models in an agentic workflow, such as routing requests among general assistance, research, sales, and finance agents or chaining models for more complete results.
Organizations can run AI-driven research and reporting over business data while choosing cloud, on-premises, hybrid, or air-gapped deployment according to their security and data-control requirements.
Developers can build coding agents and other software tools using fast inference, OpenAI-compatible endpoints, and integrations such as Cline, Hugging Face, and CrewAI.
Applications can use supported text, image, or audio-capable models for tasks such as video transcription, content analysis, and generating insights from media.
Neoclouds, service providers, and enterprise infrastructure teams can deploy SambaRack systems with SambaOrchestrator to run models, monitor workloads, and scale capacity across data centers.
SambaCloud is SambaNova's managed AI inference service for developers. SambaRack is a hardware platform combining hardware, operating system, and networking for running inference workloads in a data center, with SambaOrchestrator providing management capabilities.
The site lists support for open-source models including DeepSeek, Llama, Qwen, MiniMax M2.7, Gemma 4 31B, and gpt-oss-120b. Available modalities depend on the model and can include text, image, and audio processing.
SambaCloud provides OpenAI-compatible endpoints. The documented migration flow is to set the OpenAI API key variable to a SambaNova API key, set the base URL, choose a model, and run the application.
SambaNova describes cloud, on-premises, and hybrid deployments, including a path to start in the cloud and later expand to on-premises infrastructure. It also supports air-gapped environments for deployments that require network isolation.
The SambaCloud page states that SambaCloud does not see or collect user data or prompts. The enterprise page states that customers own their models and control their data, and that data is not shared with SambaNova or third parties.
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