Generative AI optimized for enterprise and government
The SambaNova Suite for generative AI
The most accurate generative AI models, optimized for enterprise and government organizations, deployed on-premises or in the cloud, and adapted with an organization’s data for greater accuracy
“… SambaNova is optimizing generative AI models for the enterprise with accuracy and is providing the ability for enterprises to adapt models with their own data and deploy anywhere – in the cloud or in a data center. Ultimately, this enables generative AI to evolve from merely hype and excitement to delivering real value for the enterprise”
— Ritu Jyoti
Group Vice President, Worldwide Artificial Intelligence and Automation market research and advisory services at IDC
Accuracy to meet enterprise and government needs
SambaNova Suite delivers a collection of the highest accuracy generative AI models, including both state-of-the-art open source models, as well as models that have been pre-trained by SambaNova including Llama2 and Bloom
Your data, your models
SambaNova Suite allows customers to train these models with their own data to further increase accuracy, while also allowing them to retain ownership of models that have been adapted with their data.
An open approach to generative AI
SambaNova Suite is an open platform integrating innovations from ecosystem partners at every layer of the stack, including model development, data, and enterprise integration.
Deploy anywhere
SambaNova Suite is a full stack AI offering which can be deployed on-premises or in the cloud, so no data ever needs to leave the customer’s environment. Further, unlike consumer generative AI cloud offerings, SambaNova Suite is delivered on a dedicated model backbone for every customer.
Truly full stack
State of the art open source models out of box, and MLOps software to manage end to end. A complete, optimized AI platform, reducing total cost of ownership and time to value.
Drive higher value at lower TCO
We are at the forefront of a new paradigm in AI with modular, sparse expert models that can be trained on new domains, new tasks, new languages, new modalities, without deterioration in existing capabilities. Your models will always get better and you can scale them up incrementally without having to start from scratch every time – driving higher value at lower cost over time.
Precision Expertise and Security
Our composition of experts configuration means higher security and access control to information within the model. For example, restricting accounting expertise to the finance dept. This significantly lowers the risk of widespread adoption of AI across the enterprise.
State of the art inference and training on the same system
Inference performance of 300 tokens per second on a sparse model up to 5T parameters in size. Meaning fast, scalable inference at much lower total cost of ownership.
