Through the partnership between cloud data analytics provider Snowflake and the computing company Nvidia, customers in the retail, healthcare, and finance sectors will be able to create AI models using their own data.

The partnership, which was announced at this week's Snowflake Summit 2023, combines the data computing and security services of Snowflake Data Cloud with Nvidia's NeMo platform's large language model (LLM)-customization capabilities.

The partnership comes at a time when ChatGPT, a chatbot, has compelled numerous companies to develop their AI strategies and has helped Nvidia, which supplies the primary hardware for AI, reach the trillion dollar mark.

“We want to be the platform of choice for building generative AI experiences, assistants, copilots and user apps,” said Snowflake SVP of Product Christian Kleinerman. “So think of Snowflake as a way to bring generative AI experiences and applications to run close to the enterprise data, without having to ship enterprise data to a number of third-party endpoints.”

The Snowflake platform's Secure Data Sharing technology enables the Data Cloud, an ecosystem of partners, clients, data suppliers, and data service providers, to share data. There are nine workloads available, including application, data engineering, data lake, collaboration, data science, data warehousing, marking analytics, unistore, and cybersecurity. These consolidated destinations for high-volume data allow customers to perform analyses and obtain insights.

The NeMo platform, which enables users to use their proprietary data on the Snowflake platform and has a storage capacity of up to petabytes of raw and curated business information, will be hosted and operated by Snowflake on the Data Cloud, according to the company. As a result, business-specific applications and services like chatbots, summarization, and intelligent search are powered by customized LLMs.

Manuvir Das, vice president of enterprise computing at Nvidia, emphasized the benefits of developing customized genAI models that are based on the company's confidential data and are equipped with all of the knowledge and expertise particular to its operations.

“The difference is really the data that the company has that’s stored in the data lakes, the data warehouses” such as the Snowflake platform, he explained.

"This is significant. This is the last mile that we've been waiting for 40 years," said Frank Slootman, Chairman and CEO of Snowflake. "Every industry is on this. They used to say software is eating the world. Well, now data is eating software," he said about the importance of data today.

Slootman claimed that organizations that utilize Snowflake to manage their data will now be able to train new AI models using their own data without running the danger of losing control of it.