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AI Inference.

Blazing Fast. Superior Economics.

We power the world’s largest AI models with the fastest, most efficient inference engine, delivering unmatched speed and industry-best economics.

Inference is going to be the center of the AI economy

SambaNova CEO Rodrigo Liang joins CNBC's Squawk on the Street to explain why the economics of inference, and not training benchmarks, now decide what actually gets deployed. His case: 10x lower cost of inference, a six-month payback, and no new data center buildout required.

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MiniMax M3.1 Flash Now Available on SambaCloud

MiniMax M3.1 Flash is the next-generation Flash model from MiniMax, built for agentic tasks, coding, computer use, and cybersecurity. It delivers a generational leap in capability over its predecessor while making inference nearly 3x faster and cutting usage costs by 70%.

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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 hardware stack users feel the most.

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data-center

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 hardware.

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Inference stack by design

Dataflow Architecture Explained

dataflow-graph

The Goldilocks Zone for agents

The SN50 delivers 3X the savings compared to competitive chip hardware 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.

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Serve the models your nation 
actually needs

The most capable models are now trillions of parameters, and they are the ones citizens and enterprises want to use.

Frontier open-weight models are optimized to run on RDUs, so you can offer what developers are asking for without a per-model engineering project each time.

More on SambaRack
SambaStack

The only chips-to-model computing built for AI

OpenAI Compatible APIs SambaOrchestrator Reconfigurable Dataflow Unit (RDUs) SambaRack

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 hardware platform that can be set up easily in data centers to run Al inference workloads. SambaRack SN40-16 is our fourth-generation platform optimized for low power inference (average of 20 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.

 

SN40 | SN50 RDU CHIP

At the heart of SambaNova's innovation lies the RDU chip. With a unique three-tier memory architecture and dataflow processing, RDUs are able to achieve much faster inference using a lot less power than other architectures.

 

  • Complete AI platform that provides a fully integrated end-to-end agentic AI stack – spanning across agents, models, knowledge, and data.

  • 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.

  • 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.

MiniMax M3.1 Flash Now Available on SambaCloud
miniMax-m-3-1-flash
Blog

MiniMax M3.1 Flash Now Available on SambaCloud

October 23, 2026
Faster Returns for Neoclouds: SN50 Delivers ROI in 6 Months
Blog

Faster Returns for Neoclouds: SN50 Delivers ROI in 6 Months

September 17, 2026
Hot Chips 2026: Dataflow at Scale
Blog

Hot Chips 2026: Dataflow at Scale

September 2, 2026

Ready for fast, scalable inference?