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Snowflake and Nvidia have partnered to provide businesses with a platform for creating customized generative artificial intelligence (AI) applications within the Snowflake Data Cloud using their own data. The announcement was made today at the Snowflake Summit 2023.
By integrating Nvidia’s NeMo platform for Large Language Models (LLM) and its GPU-accelerated computing with Snowflake’s capabilities, businesses can leverage the data in their Snowflake accounts to run sophisticated applications such as chatbots, searches, and summaries. You will be able to develop LLMs for your generative AI services.
Manuvir Das, Nvidia’s head of enterprise computing, told VentureBeat that the partnership will be similar to other partnerships by allowing customers to customize generative AI models in the cloud to meet their specific enterprise needs. He said that it is a line. They can “manipulate their own data to build cutting-edge generative AI applications without ever leaving a secure data cloud environment.” This reduces costs and delays while maintaining data security. will be “
Nvidia founder and CEO Jensen Huang emphasized the importance of data in developing generative AI applications that understand the unique operations and opinions of each company.
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“Nvidia and Snowflake are jointly building an AI factory that will help companies transform valuable data from the cloud platforms they use to run their businesses into custom-generated AI models to power groundbreaking new applications. ,” Huang said in a statement.
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According to Nvidia, the partnership will give businesses new opportunities to leverage hundreds of terabytes to petabytes of raw and curated business information. You can use this data to create and tune custom LLMs to enable the development of business-specific applications and services.
Streamline generative AI development through the cloud
Nvidia’s Das argues that companies that use customized generative AI models trained on their own data can maintain a competitive advantage over those that rely on vendor-specific models.
He employs fine-tuning and other techniques to customize LLM to generate a personalized AI model, and the application transforms organizational knowledge—a company’s brand, opinions, policies, and how it does business with its customers—into the knowledge of the organization. He said that he would be able to take advantage of the accumulated information about the above exchanges.
“One way to think about model customization is to compare the output of a base model to a new employee fresh out of college and an employee who has been with the company for 20+ years,” Das told VentureBeat. “This long-time employee has acquired the organizational knowledge necessary to solve problems quickly with precise insight.”
Creating an LLM involves training a predictive model using a huge corpus of data. Das said rich data, robust models and accelerated computing capabilities are essential to achieving optimal results. His new collaboration includes all three elements.
“More than 8,000 Snowflake customers store exabytes of data in the Snowflake Data Cloud. It’s the fuel to create,” Das said. “Running on our high-speed computing platform and pre-trained underlying models, his Nvidia NeMo will provide software resources and compute within the Snowflake Data Cloud to give enterprises access to generative AI. ”
Nvidia’s NeMo is a cloud-native enterprise platform that enables users to build, customize and deploy generative AI models with billions of parameters. Snowflake intends to host and run his NeMo within the Snowflake Data Cloud, which will allow customers to develop and deploy custom LLMs for generative AI applications.
“Data is the fuel of AI,” says Das. “By creating custom models using data on the Snowflake Data Cloud, companies can harness the transformative potential of generative AI and transform their business with AI-powered applications that have a deep understanding of their business and its areas of operation.” can move forward.”
What’s next for Nvidia and Snowflake?
Nvidia also announced a commitment to deliver a comprehensive suite of accelerated computing and AI software as part of the collaboration. The company said substantial co-engineering efforts are underway to integrate the Nvidia AI engine into Snowflake’s data cloud.
Das said generative AI is one of the most transformative technologies of our time, potentially impacting almost any business function.
“Generative AI is a multi-trillion dollar opportunity that has the potential to transform every industry as companies start building and deploying custom models using their valuable data,” Das said. increase. “Today, as a platform company, with accelerated computing and full-stack software designed to meet the unique needs of nearly every industry, we are a partner that can harness the power of AI to solve humanity’s greatest problems. and support our customers.”
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