Pre-trained foundation models

The most accurate models, deployed anywhere, powering better decisions, to save money and fuel growth


SambaNova’s fully-integrated Foundation Model Platform delivers innovation at every layer of the stack to provide the highest performance and accuracy across the largest and most powerful AI workloads 


Pre-trained, domain specific foundation models for production ready deployments.

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An integrated system to train and deploy custom foundation models, deep learning, and AI accelerated workloads.

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What is a foundation model?

Foundation models are powering the next era of AI innovation. Defined by their scale and emergent capabilities, foundation models can perform dozens of tasks with human level accuracy, even in some cases without having been specifically trained on a task. Highly versatile, a single foundation model can replace dozens of individual models, significantly reducing the complexity of infrastructure required to deploy AI and deep learning across organizations to unlock $100M+ business opportunities.

The SambaNova Foundation Model Platform

The SambaNova Foundation Model Platform enables organizations to unlock the insights trapped within their unstructured data to power their most critical business processes.

Financial Services & Insurance

Oil, Gas, Energy

Public Sector

Healthcare & Life Sciences

Manufacturing & Auto


AI now has the potential to fundamentally change customers’ relationships with banks, impacting every aspect of the lifecycle from onboarding to retention and upselling

Rodrigo Liang, American Banker

Each of the systems has eight DataScale SN30 chips, launched in September, and triples the speed of the previous generation.

Jane Lanhee Lee, Reuters

Hungary’s OTP bank is working with the government and SambaNova to deploy AI-powered services across its business. The bank aims to use the technology to add automated agents at its call centers, personalize services to its 17mn retail customers and streamline its internal processes by analyzing documents.

John Thornhill, The Financial Times

Even if [Nvidia’s] DGX-H100 offers 3X the performance at 16-bit floating point calculation than the DGX-A100, it will not close the gap with the SambaNova system.

Timothy Prickett Morgan, The Next Platform

The Palo Alto-based AI startup this week revealed its DataScale systems and Cardinal SN30 accelerator, which the company claims is capable of delivering 688 TFLOPS of BF16 performance, twice that of Nvidia's A100.

Tobias Mann, The Register

Enterprises are increasingly adopting AI to power a wide range of business applications. As such, it believes it makes sense to move away from tactical AI deployments to a more scalable, enterprise-wide solution.

Mike Wheatley, SiliconANGLE

The DataScale SN30 system lets enterprises take a software-defined approach, [allowing users to] ‘bounce from CPU to GPU based on the data types,’ according to R. “Ray” Wang of Constellation Research.

Esther Ajao, TechTarget

SambaNova bills its offering as “a fully integrated AI platform innovating in every level of the stack,” and the company is positioning this offering against Nvidia’s suite in its comparisons.

Oliver Peckham, HPCWire


Why AI leaders need a ‘backbone’ of large language models

AI adoption may be steadily rising, but a closer examination shows that most enterprise companies may not be quite ready for the big time when it comes to artificial intelligence.


It’s more than just a job

We owe the great work we do to our passionate, diverse team of fearless innovators. At SambaNova, our employees are our most valuable assets and our driving philosophy is to take care of our own.