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"You can run applications all the way from the UI to app services to the raw data access that apps need, and all inside the data cloud now.I hope Apple brings this Vision Pro feature to the iPhoneġ1 features in iOS 17 that I can’t wait to use on my iPhone "When people say Snowflake is a database I say no, it's much more," Dageville said. “Often the time from private to public preview is dictated by that,” Dageville said. Right now, the company is receiving feedback from partners. Snowflake Container Services is currently in private preview. There’s a good cost/performance trade-off using GPUs.” In particular, GPUs will be available which are critical for machine learning as they directly accelerate training and inference and make it cheaper. "Snowpark Container services can run on a compute layer which is not a warehouse you can create a compute pool and specify which type of compute you need to run the services. Secondly, all of this - containerisation, LLMs on Snowflake - is made possible through accelerated compute from GPUs, which is another major announcement from Snowflake Summit, made in conjunction with nVidia CEO Jensen Huang.
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You can begin immediately and it couldn't be easier: "go to Hugging Face, download an open source container with an LLM like Dolly, register that container, and run it on Snowflake with confidence and comfort you can send all your sensitive enterprise data to it,” Grabs said.
So, right away, Snowflake Container Services brings the power of LLMs to the data to make enterprises smarter about their data and enhance user productivity in secure and scalable ways. The consumers don’t need to share their data with anyone outside of their Snowflake account the providers can distribute their container and Snowflake will allow consumers to work with its API endpoints but will not expose any confidential internals of the code, or its data. However, Snowflake Container Services provides a means for providers to package up their container, place it on the Snowflake app marketplace, and for consumers to spin it up in their Snowflake compute environment, with protections on both sides. Sharing a container typically would expose these things to others. For these providers, the model is their confidential intellectual property, along with its weights and parameters. Firstly, containerisation provides a path for large language model providers who wish to make their models available to others to use. That's exciting news in itself, but there is more to the story. That is, you bring the compute to the data and your sensitive enterprise information never leaves the Snowflake cloud, and this greatly simplifies your data governance compliance. Still, if you’re using Snowflake data then there’s a huge ramification, namely, the containerised compute means all your data, and all your security and governance around it, remains completely within the Snowflake account boundaries. Whether using Snowflake as a general-purpose web app host is cost-effective or not is up to you. Your apps don't even need to use Snowflake they could be any container running any code. Many of your Docker containers will work out of the box right away. The news from Snowflake is that Snowpark now supports containerisation, via the all-new Snowpark Container Services, running OCI-compliant containers on Snowflake compute. This focus shaped the company’s approach to Snowpark, the developer framework that brings native SQL, Python, Java, and Scala support for fast and collaborative development. Well, Grabs says, from inception, Snowflake has had a clear focus on security and governance of data by bringing compute to the data as opposed to creating new copies and additional silos. NET, Java, Python, or other languages, which connected to Snowflake for its data needs.
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If you used containers with Snowflake, these were part of your conventional software development and deployment, constructing apps in. However, typically your applications were elsewhere, connecting to Snowflake via JDBC, ODBC, or other means. The Snowflake many people know allows you to store data, query data, analyse data, and perform complex calculations. Let me go back a step: the Snowflake data cloud provides a high-performing and scalable database with vast capabilities around security and governance.
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This driver “provides maximum protection to your sensitive enterprise data, and enforces compliance and governance”, said Snowflake senior director of product management Torsten Grabs. Part of this vision is bringing work to the data, instead of the traditional process of taking data to the work.
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