Snowflake, the Data Cloud Company, has hosted the Bangalore leg of its Data Cloud World Tour (DCWT) event. Data, technology, and business leaders including Sridhar Ramaswamy, SVP of Snowflake and Co-Founder and CEO of Neeva, and Sanjay Deshmukh, Senior Regional Vice President, Snowflake India and ASEAN, explains about how the Data Cloud breaks down silos, enables powerful and secure AI and machine learning (ML), and delivers business value to customers. Furthermore, the event dig deeper into Snowflake’s latest capabilities making it easier for organizations to do more with their data and simplify architectures, build without governance tradeoffs, and deliver and monetize leading applications at scale in Snowflake Marketplace. In particular, attendees will learn about new advancements in the rapidly evolving areas of streaming, support for open table formats, and generative AI.
Snowflake recently announced new innovations that extend data programmability for data scientists, data engineers, and application developers so they can build faster and more efficiently in the Data Cloud. With the launch of Snowpark Container Services (private preview), Snowflake is expanding the scope of Snowpark so developers can unlock broader infrastructure options such as accelerated computing with NVIDIA GPUs and AI software to run more workloads within Snowflake’s secure and governed platform without complexity, including a wider range of AI and ML models, APIs, internally-developed applications, and more.
Using Snowpark Container Services, Snowflake customers also get access to an expansive catalog of third-party software and apps including large language models (LLMs), Notebooks, MLOps tools, and more within their account. In addition, Snowflake is simplifying and scaling how users develop, operationalizes, and consume ML models, unveiling new innovations so more organizations can bring their data and ML models to life.
Snowpark continues to serve as Snowflake’s secure deployment and processing of non-SQL code with various runtimes and libraries — expanding who can build and what gets built in the Data Cloud. It lets builders work with data more effectively in their programming languages and tools of choice, while providing organizations with the automation, governance, and security guarantees missing in legacy data lakes and big data environments. Since launching in June 2021, Snowpark has helped data engineers migrate pipelines and run them faster and more efficiently, enabled data scientists to build and train models, and unlocked Snowflake as a powerful platform for application development.
Snowpark Container Services further expands the scope of workloads that can be brought to customers’ data. It provides users with the flexibility to build in any programming language and deploy on broader infrastructure choices, including the NVIDIA AI platform for optimized acceleration, with the same ease of use, scalability, and unified governance of the Snowflake Data Cloud.
Snowflake has partnered with dozens of third-party software and application providers to deliver world-class products that can run within their end-customer’s Snowflake account using Snowpark Container Services.