Developers & Enterprises

Power your business with private, plug-and-play AI

Secure, enterprise-class, high-performance inference

 

Run the largest, most accurate models with high-performance inference. Combined with leading security and data privacy, model ownership, and simplified management, SambaNova offers the flexibility to drive both generative and agentic AI workloads. 

Power the most demanding applications

SambaNova delivers extraordinary performance for the largest and most accurate models with a highly efficient system. Meet the demanding needs of your users while running multiple models simultaneously. 

 

 

Flexibility of deployment

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The ability to tailor your AI deployment to your environment can minimize headaches. Implementations using any combination of cloud, on-premises, or hybrid implementation with your choice of the biggest and best open-source models or your own fine-tuned checkpoint. It's also simple to start in the cloud and later expand to on-premises to meet the evolving needs of your organization. 

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Seamless procurement

The SambaNova platform can be procured easily through:

  • AWS Marketplace
  • Directly from SambaNova
  • Any SambaNova partner
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Data privacy, security & compliance

Your data is one of your most valuable assets. Protect your private data with SambaNova. With SambaNova you always own your models and control your data. Deployable in the cloud, in your data center, or wherever you need, including in air gapped environments for maximum security, SambaNova is built to meet data sovereignty, regulatory, and digital privacy requirements while maintaining high performance and flexibility.

SambaNova customers share their results

 

Maitai provides fully managed inference as a service to enterprises. By fine-tuning customer applications and hosting them on the fastest hardware available, Maitai delivers low latency, ultra-high throughput, and better accuracy.

 

Hume.ai uses SambaNova to deliver end-to-end speech LLM models that provide emotionally intelligent voice agents.

 

Aion Labs is building a complete system composed of many models, that leverages the fastest inference to deliver a solution that is more accurate than any of the individual models.

FAQs

What does SambaNova offer for enterprise AI deployments?

SambaNova provides a secure, high-performance AI inference platform built specifically for enterprise needs. It supports the largest and most accurate open-source models, gives organizations full ownership of their models and data, and offers flexible deployment across cloud, on-premises, or hybrid environments, including air-gapped setups for maximum security.

Can SambaNova run both generative and agentic AI workloads?

Yes. SambaNova's platform is designed to support both generative AI applications, such as text and content generation, and agentic AI workloads that require multiple models working in coordination. The system can run multiple models simultaneously, making it well-suited for complex, multi-step AI pipelines.

What deployment options does SambaNova support for enterprises?

SambaNova supports cloud, on-premises, and hybrid deployments. Organizations can start in the cloud and later expand to on-premises infrastructure as their needs evolve, without rearchitecting their AI stack. This flexibility makes it practical for enterprises at any stage of their AI maturity.

Does SambaNova support air-gapped deployments?

Yes. For organizations with the highest security requirements, SambaNova can be deployed in fully air-gapped environments, completely isolated from public networks. This makes it one of the few high-performance AI inference platforms capable of meeting the security standards required by defense, intelligence, and critical infrastructure use cases.

Who owns the models and data when using SambaNova?

With SambaNova, you always own your models and control your data. The platform is designed so that no data is shared with SambaNova or third parties. This applies across all deployment modes including cloud, on-premises, and hybrid, and is a core architectural principle rather than a configurable option.