Inference at scale
The groundbreaking dataflow technology and memory architecture delivers the performance and speed required for ever-growing AI models.
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Energy efficiency
Generating the maximum number of tokens per watt with the highest power efficiency naturally enables fast inference and scalability.
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Infrastructure flexibility
SambaStack switches between multiple frontier-scale models, enabling complex agentic AI workflows to execute end-to-end on one node.
Learn more →AI agents that run in seconds, not minutes
Speed and latency matter. SambaNova® delivers fast inference on the best and largest open-source models, powered by SambaNova’s RDUs.
Best performance on the largest models
AI models are getting bigger and more intelligent. SambaNova runs the largest models, including DeepSeek and Llama, with full precision and all the capabilities developers need.
Generate the most tokens for every kWh
Generate the maximum number of tokens per watt using the highest efficiency racks on the market.
Sovereign AI Around the World
DeepSeek
We support the groundbreaking DeepSeek models, including the 671-billion-parameter DeepSeek-R1, which excels in coding, reasoning, and mathematics at a fraction of the cost of other models.
On our SambaNova RDU, DeepSeek-R1 achieves remarkable speeds of up to 200 tokens / second, as measured independently by Artificial Analysis.
Llama
As a launch partner for Meta's Llama 4 series, we've been at the forefront of open-source AI innovation. SambaCloud was the first platform to support all three variants of Llama 3.1 (8B, 70B, and 405B) with fast inference.
We are excited to work with Meta to deliver fast inference on both Scout and Maverick models.
OpenAI gpt-oss-120b
OpenAI recently released gpt-oss-120b, a model that delivers high accuracy in just 120-billion parameter with a Mixture of Experts (MoE) architecture.
As a small but efficient model, it runs extremely fast on SambaNova RDUs at over 600 tokens per second, making it a great choice for near real-time agentic AI.
SambaStack: Solving the Infrastructure Crisis for AI Inference with Dataflow
AI Is No Longer About Training Bigger Models — It’s About Inference at Scale
