- Snowpark Container Services expands Snowflake’s compute
infrastructure to run a variety of workloads, including full-stack
applications, the hosting of LLMs, robust model training, and more
securely within Snowflake
- Snowflake has partnered with NVIDIA, Alteryx, Astronomer,
Dataiku, Hex, SAS, and more to give customers secure, easy, and
governed access to an expansive lineup of products and solutions
within their Snowflake account using Snowpark Container
Services
- Snowpark expands support for more efficient machine learning
development and execution
Snowflake (NYSE: SNOW), the Data Cloud company, today announced
at its annual user conference, Snowflake Summit 2023, 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 machine learning (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,
operationalize, and consume ML models, unveiling new innovations so
more organizations can bring their data and ML models to life.
These advancements include a set of new Snowpark ML APIs for more
efficient model development (public preview), a Snowpark Model
Registry (private preview) for scalable MLOps, Streamlit in
Snowflake (public preview soon) to turn models into interactive
apps, and advanced streaming capabilities.
This press release features multimedia. View
the full release here:
https://www.businesswire.com/news/home/20230627181941/en/
Snowflake Extends Programmability for
Developers with New Snowpark Container Services to Run Secure
Generative AI in the Data Cloud; Includes NVIDIA GPUs, Notebooks,
Apps, and More (Graphic: Business Wire)
“Snowflake’s product advancements are revolutionizing how
customers build in the Data Cloud, enabling data scientists, data
engineers, and application developers with extended programmability
and a wide range of use cases so they can build, test, and deploy
anything they can dream up, without tradeoffs,” said Christian
Kleinerman, SVP of Product, Snowflake. “Our continued investments
in Snowpark, alongside our machine learning and streaming
capabilities accelerate how users put their data to work, unlocking
new ways to drive impact across their organizations with increased
flexibility.”
Snowpark Empowers Developers with Broader Programmability,
Without Governance or Security Tradeoffs
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. In
addition, Snowpark Container Services can be used as part of a
Snowflake Native App (public preview on AWS), enabling developers
to distribute sophisticated apps that run entirely in their
end-customer’s Snowflake account. Snowpark Container Services will
also enable users to securely run leading third-party generative
model providers like Reka directly within their Snowflake account,
removing the need to expose proprietary data to accelerate
innovation.
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. For example, customers can run Hex’s
industry-leading Notebooks for analytics and data science, use
popular AI platforms and ML features from Alteryx, Dataiku, and SAS
to run more advanced AI and ML processing, and manage these data
workflows with Astronomer's platform powered by Apache Airflow —
all entirely within Snowflake. These are just a few examples, with
AI21 Labs, Amplitude, CARTO, H2O.ai, Kumo AI, Pinecone,
RelationalAI, Weights & Biases, and more also delivering their
products and services with Snowpark Container Services.
Furthermore, NVIDIA and Snowflake are building transformative
accelerated computing and software integrations for Snowpark
Container Services. Yesterday, the companies announced a
partnership that aims to make advanced generative AI capabilities
available to enterprises everywhere.
The collaboration also brings NVIDIA AI Enterprise — the
software pillar of the NVIDIA AI platform — to Snowpark Container
Services, along with support for NVIDIA accelerated computing.
NVIDIA AI Enterprise includes over 100 frameworks, pretrained
models, and development tools including PyTorch for training,
NVIDIA RAPIDS for data science, and NVIDIA Triton Inference Server
for production AI deployments.
“Data is the foundation for custom generative AI applications
built with the unique business and brand requirements of companies
in every industry,” said Manuvir Das, Vice President, Enterprise
Computing, NVIDIA. “The Snowpark Container Service and NVIDIA AI
Enterprise integration brings NVIDIA’s full suite of AI frameworks,
pretrained models, and development tools to the data platform used
by thousands of companies worldwide to support today’s most
advanced workloads.”
Snowflake Helps Bring ML Models to Life, Delivers Improved
Developer Experiences, and Expands Streaming Capabilities
To streamline and scale machine learning model operations
(MLOps), Snowflake is announcing the new Snowpark Model Registry, a
unified repository for organizations’ ML models. The registry
enables users to centralize the publishing and discovery of models,
further streamlining collaboration across data scientists and ML
engineers to seamlessly deploy models into production.
Snowflake is also advancing its integration of Streamlit in
Snowflake, empowering data scientists and other Python developers
to increase the impact of their work by building apps that bridge
the gap between data and business action. With Streamlit in
Snowflake, builders can use familiar Python code to develop their
apps, transforming an idea into an enterprise-ready app with just a
few lines of code, and then quickly deploy and share these apps
securely in the Data Cloud.
In addition, Snowflake is making development within its unified
platform easier and more familiar through new capabilities
including native Git integration (private preview) to support
seamless CI/CD workflows, and native Command Line Interface (CLI)
(private preview) for optimized development and testing within
Snowflake. New innovations also make it easier and more cost
effective for data engineers to work with low latency data, without
having to stitch together solutions or build additional data
pipelines. Snowflake is eliminating boundaries between batch and
streaming pipelines with Snowpipe Streaming (general availability
soon) and Dynamic Tables (public preview), delivering a simplified
and cost effective solution for data engineers to ingest streaming
data and easily build complex declarative pipelines.
Snowflake also announced new advancements to its single, unified
platform; innovations that enable organizations to distribute and
monetize leading applications at scale in the Data Cloud; and more
at Snowflake Summit 2023.
Learn More:
- Learn more about generative AI and Streamlit in this blog
post.
- Learn more about Snowflake and NVIDIA’s partnership to bring
increased generative AI to the Data Cloud in this blog post.
- Get started with data engineering and ML using Snowpark for
Python following this quickstart guide.
- Try Snowpark in Snowflake Python Worksheets (public preview)
using this quickstart guide.
- Stay on top of the latest news and announcements from Snowflake
on LinkedIn and Twitter.
Forward Looking Statements
This press release contains express and implied forward-looking
statements, including statements regarding (i) Snowflake’s business
strategy, (ii) Snowflake’s products, services, and technology
offerings, including those that are under development or not
generally available, (iii) market growth, trends, and competitive
considerations, and (iv) the integration, interoperability, and
availability of Snowflake’s products with and on third-party
platforms. These forward-looking statements are subject to a number
of risks, uncertainties and assumptions, including those described
under the heading “Risk Factors” and elsewhere in the Quarterly
Reports on Form 10-Q and the Annual Reports on Form 10-K that
Snowflake files with the Securities and Exchange Commission. In
light of these risks, uncertainties, and assumptions, actual
results could differ materially and adversely from those
anticipated or implied in the forward-looking statements. As a
result, you should not rely on any forward-looking statements as
predictions of future events.
© 2023 Snowflake Inc. All rights reserved. Snowflake, the
Snowflake logo, and all other Snowflake product, feature and
service names mentioned herein are registered trademarks or
trademarks of Snowflake Inc. in the United States and other
countries. All other brand names or logos mentioned or used herein
are for identification purposes only and may be the trademarks of
their respective holder(s). Snowflake may not be associated with,
or be sponsored or endorsed by, any such holder(s).
About Snowflake
Snowflake enables every organization to mobilize their data with
Snowflake’s Data Cloud. Customers use the Data Cloud to unite
siloed data, discover and securely share data, power data
applications, and execute diverse AI/ML and analytic workloads.
Wherever data or users live, Snowflake delivers a single data
experience that spans multiple clouds and geographies. Thousands of
customers across many industries, including 590 of the 2022 Forbes
Global 2000 (G2K) as of April 30, 2023, use Snowflake Data Cloud to
power their businesses. Learn more at snowflake.com.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20230627181941/en/
Kaitlyn Hopkins Product PR Lead, Snowflake
press@snowflake.com
Snowflake (NYSE:SNOW)
Gráfico Histórico do Ativo
De Abr 2024 até Mai 2024
Snowflake (NYSE:SNOW)
Gráfico Histórico do Ativo
De Mai 2023 até Mai 2024