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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.
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DeepSeek
We support the groundbreaking DeepSeek models, including the 671-billion-parameter DeepSeek-V3.1, which excels in coding, reasoning, and mathematics at a fraction of the cost of other models.
On our SambaNova RDU, DeepSeek-V3.1 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.
SambaNova and Intel Announce Blueprint for Heterogeneous Inference: GPUs For Prefill, SambaNova RDUs for Decode, and Intel® Xeon® 6 CPUs for Agentic Tools
Introducing the SN50 RDU: Purpose-Built for Agentic Inference
