Accelerate Past the Competition in Weeks, Not Years, with Dataflow-as-a-Service
SambaNova Dataflow-as-a-ServiceTM delivers the industry’s most powerful integrated software-defined hardware platform for AI, complete with out-of-the-box pre-trained deep learning models accessed through simple APIs, enabling organizations to accelerate and scale their AI and deep learning capabilities in weeks, not years.
State-of-the-Art Deep Learning Models
Dataflow-as-a-ServiceTM offers out-of-the-box deep learning models. Each model comes pre-trained, reducing the need for heavy investment and time from an organization’s data science team, accelerating time to deployment from months or years to just weeks. Each model can also be fine tuned to a particular industry or an organization’s specific application.
NATURAL LANGUAGE PROCESSING

Solve a wide range of language tasks with a single highly flexible model
COMPUTER VISION

Analyze true resolution images and detailed 3D sensor data
RECOMMENDER SYSTEMS

Make better business-critical decisions faster
Organizations Have Struggled to Build Their Own Deep Learning Models
The difficulties in building complex deep learning models from scratch necessitates a significant investment in resources, personnel, and advanced technology. This has placed the benefits of state-of-the-art deep learning out of reach for all but a few hyperscalers. Until now.
Out-of-the-Box, Pre-Trained Deep Learning Models
Dataflow-as-a-Service delivers state-of-the-art deep learning models out-of-the-box, pre-trained with industry specific data, enabling customers to overcome the challenge of finding, hiring, and retaining data scientists with the skillset necessary to build these capabilities from scratch.
Purpose Built for State-of-the-Art Deep Learning
SambaNova Dataflow-as-a-Service easily runs the most sophisticated and demanding large language models and processes true resolution images as well as highly detailed 3D sensor data. Dataflow-as-a-Service overcomes the inherent limitations of GPU systems which struggle to handle even a small fraction of state-of-the-art deep learning language models, and are unable to process an image the size of a picture taken with a smartphone, without significant and complex technical parallelization efforts.
Accelerated Time to Value
It commonly takes an organization 18 months to build, train, and deploy a state-of-the-art deep learning model. Meanwhile, complex deep learning models are consistently growing at the rate of 10X per year. The result is that anything organizations custom build is out of date the moment it is launched.
Dataflow-as-a-Service overcomes this challenge with an integrated full stack solution, pre-trained models, and minimal complexity to deliver value in weeks, not years.
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