What benefits do your high-capacity AI platforms deliver to end users, and to society?
For the everyday mobile or home user, more memory capacity from DDR means better recommendation engines on apps and websites. More memory gives developers the ability to do larger embeddings. In retail, for instance, this will allow ecommerce sites to more accurately recommend related items, leading to better consumer experiences, while increasing revenue for retailers.
Marshall Choy (MC):
The power that AI and ML brings to medical research is accelerating drug research and drug trials processes, which could lead to the discovery of new drugs and antiviral compounds. AI is already helping to accelerate Covid-19 research by speeding up data analysis and modeling. The Lawrence Livermore Cancer Moonshot project
is another example of AI being leveraged in medical research.
Higher resolution image analysis will lead to improved cancer detection. Reading scan imagery, for example, might require high resolution over a wide area. By enabling this type of higher resolution, SambaNova’s efforts could lead to earlier detection and better patient outcomes.
Do SambaNova’s two product offerings make AI easier to use?
Yes, by increasing efficiency and ease-of-use for this kind of platform, and increasing access to the technology to smaller firms, in addition to the big players.
Our first product, DataScale, is an integrated software and hardware systems platform that allows people to run cutting-edge AI applications at scale. DataScale’s software-defined-hardware approach delivers a high degree of efficiency across applications, from training and inference, to data analytics and high-performance computing.
Our second offering is how we’ve democratized management of AI/ML modeling. Dataflow-as-a-Service is a subscription service that we developed based on customer requests. AI and ML are challenging, and most companies don’t have the expertise or manpower to manage the AI/ML models at scale. Dataflow-as-a-Service takes SambaNova’s expertise and learning and adds that to the client’s team. The service allows our clients to run cutting edge AI/ML applications without a large in-house team.