Nvidia, Snowflake announce partnership

[erek]

… for custom Generative AI models

“The company’s shares are up 159% over the last 12 months, and 189% year-to-date. The reason? Nvidia is the go-to company when it comes to AI chips. That’s because it turns out, graphics chips are exceptionally good at performing the kind of parallel processing required for AI.

Sure, AMD has its own graphics capabilities, and Intel is building out its AI offerings, but Nvidia is at the top of the heap. And for the foreseeable future, it's going to stay there.”

Source: https://finance.yahoo.com/news/nvid...or-custom-generative-ai-models-000058830.html

 

[Marees]

What is this about?

I know Snowflake but have zero knowledge about GPU programming.

What do I need to know here ? And would this in future be applicable to AMD & Intel GPUs also

 

[Lakados]

What is this about?

I know Snowflake but have zero knowledge about GPU programming.

What do I need to know here ? And would this in future be applicable to AMD & Intel GPUs also

I mean this is an Nvidia project so it's CUDA, not that there is really a viable alternative that works with the others currently, so if they go CUDA they are in for the long haul because ROCm is a long way behind. Intel AI hardware is scarce and backlogged.
So AMD and Intel could have similar projects someday in the future, it would require somebody to be starting from scratch.

 

[Azrak]

I saw Snowflake and thought "Really? GN CEO Snowflake?"

 

[LukeTbk]

I know Snowflake but have zero knowledge about GPU programming.

It is offering cloud solution to enterprise, say you are a company and want to have an internal generative AI or a customer service that use it and do not want to equip yourself, you can pay Snowflake, it will be powered by Nvidia.

Snowflake is a cloud data platform that enables users to store, manage, analyze, and share data in a secure and scalable way. Snowflake offers a range of services and features, such as data warehousing, data lake, data engineering, data science, data applications, data sharing, and data marketplace1.
Snowflake’s AI cloud offering is a set of capabilities and partnerships that allow users to leverage artificial intelligence (AI) and machine learning (ML) on their data in Snowflake. Some of these capabilities and partnerships are:

• Snowpark: A developer framework that enables users to write code in languages such as Python, Scala, or Java and run it natively in Snowflake. Snowpark allows users to create and execute complex data transformations, user-defined functions, and ML models without moving data out of Snowflake12.
• Snowflake Partner Connect: A feature that allows users to easily connect to third-party services and tools that integrate with Snowflake. Some of these services and tools include ML platforms such as DataRobot, H2O.ai, Dataiku, and Databricks; BI tools such as Tableau, Power BI, and Looker; and data integration tools such as Fivetran, Matillion, and Stitch13.
• Nvidia partnership: A collaboration between Snowflake and Nvidia that enables users to access Nvidia’s AI computing platform on Snowflake. Users can use Nvidia’s RAPIDS software suite to accelerate data preparation, feature engineering, model training, and inference on their data in Snowflake using Nvidia GPUs. Users can also use Nvidia’s Jarvis framework to build conversational AI applications using natural language processing (NLP) on their data in Snowflake .
• Neeva acquisition: A recent acquisition by Snowflake of Neeva, a startup that develops a search engine powered by AI. Snowflake plans to use Neeva’s technology to enhance its search and conversation capabilities in Snowflake. Users will be able to ask natural language questions and get answers from their data in Snowflake using Neeva’s generative AI models .

Therefore, Snowflake’s AI cloud offering is a combination of its own capabilities and its partnerships with other AI and ML providers that enable users to perform various tasks and operations on their data in Snowflake using AI and ML techniques.

 

[erek]

It is offering cloud solution to enterprise, say you are a company and want to have an internal generative AI or a customer service that use it and do not want to equip yourself, you can pay Snowflake, it will be powered by Nvidia.

Snowflake is a cloud data platform that enables users to store, manage, analyze, and share data in a secure and scalable way. Snowflake offers a range of services and features, such as data warehousing, data lake, data engineering, data science, data applications, data sharing, and data marketplace1.
Snowflake’s AI cloud offering is a set of capabilities and partnerships that allow users to leverage artificial intelligence (AI) and machine learning (ML) on their data in Snowflake. Some of these capabilities and partnerships are:

• Snowpark: A developer framework that enables users to write code in languages such as Python, Scala, or Java and run it natively in Snowflake. Snowpark allows users to create and execute complex data transformations, user-defined functions, and ML models without moving data out of Snowflake12.
• Snowflake Partner Connect: A feature that allows users to easily connect to third-party services and tools that integrate with Snowflake. Some of these services and tools include ML platforms such as DataRobot, H2O.ai, Dataiku, and Databricks; BI tools such as Tableau, Power BI, and Looker; and data integration tools such as Fivetran, Matillion, and Stitch13.
• Nvidia partnership: A collaboration between Snowflake and Nvidia that enables users to access Nvidia’s AI computing platform on Snowflake. Users can use Nvidia’s RAPIDS software suite to accelerate data preparation, feature engineering, model training, and inference on their data in Snowflake using Nvidia GPUs. Users can also use Nvidia’s Jarvis framework to build conversational AI applications using natural language processing (NLP) on their data in Snowflake .
• Neeva acquisition: A recent acquisition by Snowflake of Neeva, a startup that develops a search engine powered by AI. Snowflake plans to use Neeva’s technology to enhance its search and conversation capabilities in Snowflake. Users will be able to ask natural language questions and get answers from their data in Snowflake using Neeva’s generative AI models .

Therefore, Snowflake’s AI cloud offering is a combination of its own capabilities and its partnerships with other AI and ML providers that enable users to perform various tasks and operations on their data in Snowflake using AI and ML techniques.

RelationalAI and Snowflake join forces to revolutionize enterprise AI decision-making​

https://venturebeat.com/ai/relation...-revolutionize-enterprise-ai-decision-making/

 

[Marees]

RelationalAI and Snowflake join forces to revolutionize enterprise AI decision-making​

https://venturebeat.com/ai/relation...-revolutionize-enterprise-ai-decision-making/

This is interesting:


RelationalAI’s AI coprocessor can run securely in the Data Cloud with Snowpark Container Services, a new feature that Snowflake announced at this week’s summit.

Snowpark Container Services allows customers to run third-party software and applications within their Snowflake account, enhancing the value of their data without compromising its security.