Nvidia, Snowflake announce partnership for custom generative AI models
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Nvidia, Snowflake announce partnership for custom generative AI models
"Yahoo Finance's" Brian Sozzi
Nvidia (NVDA) and Snowflake (SNOW) have announced a new partnership that will allow the cloud services company’s more than 8,000 customers to build their own generative AI assistants.
The news was announced during a fireside chat between Nvidia CEO Jensen Huang and Snowflake CEO Frank Slootman at the Snowflake Summit on Monday.
The move will allow Snowflake’s users to build custom AI models using their internal data. That’s a big deal for businesses that want to take advantage of large language models and generative AI, and need to get specific, company-centric answers to their own queries.
That means Snowflake’s customers will, among other things, be able to build their own generative AI chatbots to pull information from their vast information databases.
Nvidia provides the underlying toolkit, called NeMO, which provides a foundational large language model that Snowflake customers then customize using their own data. Nvidia will also provide the infrastructure, including graphics processing units that customers will need to train their generative AI models.
In May, the graphics chipmaker announced a somewhat similar partnership with ServiceNow (NOW). Rather than allowing customers to train their own generative AI models, however, ServiceNow trains the models itself. The idea is to give customers a quick means of taking advantage of generative AI capabilities without necessarily having to train the platforms on their own data.
This isn’t the first type of program to allow companies to build out their own generative AI apps.
In May, Microsoft (MSFT) announced the launch of its Azure AI Studio, which allows Microsoft customers to create custom AI-powered apps called copilots. Copilots, like Snowflake’s offering, can take a number of forms including running as chatbots.
Generative AI exploded onto the scene when OpenAI released ChatGPT in Nov. 2022. Since then companies ranging from Microsoft to Google (GOOG, GOOGL) to Meta (META) and Amazon (AMZN) have released products or discussed working on the technology.
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