Pushing the AI frontier with premium inference
Run the largest models by maximizing dataflow efficiency with high speed and sustained throughput.
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SemiAnalysis benchmark of SambaRack SN50 on MiniMax M2.7 shows fast decode performance in the part of the stack users feel the most.
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Ready for Premium Inference?
SemiAnalysis benchmark of SambaRack SN50 on MiniMax M2.7 shows fast decode performance in the part of the stack users feel the most.
SambaNova Completes First Close of $1B Financing at $11B Valuation
SambaNova’s $11 billion valuation highlights the central role inference now plays in the enterprise AI stack. General Atlantic leads the round with significant investment from Seligman Ventures and T. Rowe Price Associates, Inc. JPMorganChase is the latest to select SambaNova RDUs for fast, on‑prem AI inference.
Size your AI data center deployment
Our virtual walkthrough helps you visualize energy requirements, floor space, and scale out to multi-megawatt clusters with the SambaRack SN50.
SambaNova Completes First Close of $1B Financing at $11B Valuation
SambaNova’s $11 billion valuation highlights the central role inference now plays in the enterprise AI stack. General Atlantic leads the round with significant investment from Seligman Ventures and T. Rowe Price Associates, Inc. JPMorganChase is the latest to select SambaNova RDUs for fast, on‑prem AI inference.
Inference stack by design
Inference at scale
The groundbreaking dataflow technology and memory architecture delivers the performance and speed required for ever-growing AI models.
Learn more →Energy efficiency
Generating the maximum number of tokens per watt with the highest power efficiency naturally enables fast inference and scalability.
Learn more →Infrastructure flexibility
SambaStack switches between multiple frontier-scale models, enabling complex agentic AI workflows to execute end-to-end on one node.
Learn more →Dataflow Architecture Explained
RMSNorm
QKV
Attention
Projection
FFN
Size your AI data center deployment
Our virtual walkthrough helps you visualize energy requirements, floor space, and scale out to multi-megawatt clusters with the SambaRack SN50.
The Goldilocks Zone for agents
The SN50 delivers 3X the savings compared to competitive chips for agentic inference. Co-Founder and Chief Technologist Kunle Olukotun explains how SN50 tiered memory allows agents to have access to a cache for models and prompts, further improving efficiency.
The only chips-to-model computing built for AI
Inference | Bring Your Own Checkpoints
SambaNova provides simple-to-integrate APIs for Al inference, making it easy to onboard applications. Our APIs are OpenAI compatible allowing you to port your application to
SambaNova in minutes.
Auto Scaling | Load Balancing | Monitoring | Model Management | Cloud Create | Server Management
SambaOrchestrator simplifies managing AI workloads across data centers. Easily monitor and manage model deployments and scale automatically to meet user demand.
SambaRack™ is a state-of-the-art system that can be set up easily in data centers to run Al inference workloads. SambaRack SN40-16 is our fourth generation system optimized for low power inference (average of 10 kWh) and running many models simultaneously.
SambaRack SN50 is our fifth-generation system optimized for fast agentic inference at a fraction of the cost running the largest models, like gpt-oss-120b and DeepSeek.
SN40 | SN50 RDU
At the heart of SambaNova's innovation lies the RDU. With a unique three-tier memory architecture and dataflow processing, RDU chips are able to achieve much faster inference using a lot less power than other architectures.
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Complete AI platform that provides a fully integrated end-to-end agentic AI stack – spanning across agents, models, knowledge, and data.
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Composable AI platform that is open, unifies structured and unstructured data, queries in any environment, and deploys on any AI model. Build or use pre-built AI agents — all with business-aware intelligence.
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Sovereign AI platform that keeps data secure and governed while business teams query in any environment. IT stays in control, while business teams self-serve AI — and both can focus on what matters.



