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SambaNova Suite NEW

SambaNova Suite A revolutionary dedicated inference and fine tuning platform with world record performance
Sambanova datascale
The world's fastest hardware platform for AI large language model based on open-source  Llama  3.1 405B, 70B, and 8B as well as Deepseek R1 with a cost-effective customized chip (instead of expensive GPUs) and the only one with the ability to train and run hundreds of models on a single, energy efficient node.

The superior GPU alternative. Powering the world’s fastest platform

Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), the fourth generation of our chip which is purpose-built for the most demanding AI workloads. Its revolutionary dataflow architecture and massive memory footprint make it the proven performance leader for both training and inference, across all model sizes.

SambaNova is the world record leader in performance with full precision accuracy for the largest open source models, Llama  3.1 405B, 70B, and 8B as well as Deepseek R1. Only SambaNova can deliver the highest performance and accuracy for models large and small.

Complete data privacy & security

Protect your private data with the SambaNova platform. With SambaNova you always own your models and control your data. Deployable in the cloud, in your data center, or wherever you need, SambaNova gives you total privacy so you can get the most value from your data.

The highest accuracy: Fine-tuning and RAG

With the ability to do high performance fine-tuning, SambaNova Suite enables customers to continuously  and securely fine-tune their models to get the best possible accuracy for their specific organization. They can also take advantage of RAG for even higher accuracy on their latest data.

Eliminate vendor lock-in

Break free from cloud model providers with SambaNova Suite. When a customer securely fine-tunes an open source model with SambaNova, the customer then owns that model in perpetuity. As the model grows in value over time, the customer gains the value of the model and eliminates the vendor lock-in that is inherent to cloud-based model providers.