Cloudera and NVIDIA Collaborate to Expand Generative AI Capabilities with NVIDIA Microservices

Cloudera will leverage NVIDIA AI Enterprise, with NVIDIA NIM microservices, to unlock the
potential of 25 exabytes of enterprise data secured in Cloudera Data Platform
Dubai, United Arab Emirates: March 20, 2024Cloudera, the data company for trusted
enterprise AI, today announced its expanded collaboration with NVIDIA. Cloudera Powered by NVIDIA will integrate enterprise-grade NVIDIA NIM microservices, part of the NVIDIA AI
Enterprise
software platform, into Cloudera Machine Learning, a Cloudera Data Platform
service for AI/ML workflows, to deliver fast, secure, and simplified end-to-end generative AI
workflows in production.


Enterprise data, combined with a comprehensive full-stack platform optimized for large
language models (LLM), is critical in advancing an organization’s generative AI applications from pilot to production. NVIDIA NIM and NeMo Retriever microservices let developers link AI models to their business data — including text, images, and visualizations, such as bar graphs, line plots, and pie charts — to generate highly accurate, contextually relevant responses. Developers using these microservices can deploy applications through NVIDIA AI Enterprise, which provides optimized runtimes for building, customizing, and deploying enterprise-grade LLMs. By leveraging NVIDIA microservices, Cloudera Machine Learning will enable customers to unleash the value of their enterprise data under Cloudera management by bringing high- performance AI workflows, AI platform software, and accelerated computing to the data – wherever it resides.


Cloudera will introduce multiple integrations with NVIDIA microservices. Cloudera Machine
Learning will integrate model and application serving powered by NVIDIA microservices to
boost model inference performance across all workloads. With this new AI model-serving
functionality, customers can achieve fault-tolerance, low-latency serving, and auto-scaling for models deployed anywhere – from public and private clouds. Cloudera Machine Learning will also offer integrated NVIDIA NeMo Retriever microservices to simplify the connection of
custom LLMs to enterprise data. This capability will enable users to build retrieval-augmented generation (RAG)-based applications for production use.


Cloudera previously worked with NVIDIA to harness GPU-optimized data processing through
the integration of the NVIDIA RAPIDS Accelerator for Apache Spark into the Cloudera Data
Platform. Now, with the planned addition of NVIDIA microservices and integration with NVIDIA AI Enterprise, Cloudera Data Platform will uniquely deliver streamlined end-to-end hybrid AI pipelines.


Moving forward, organizations across industries will have the ability to more quickly and
intuitively build, customize, and deploy LLMs that underpin transformative generative AI. This includes applications such as coding co-pilots for speeding development time, chatbots for automating customer interactions and services, text summarization apps for processing
documents quickly, streamlined and contextual search, and much more. These innovations
maximize time-to-business value by making data and advanced AI processes easier and faster across the enterprise, increasing revenue generation and optimizing cost.


“Cloudera is integrating NVIDIA NIM and CUDA-X microservices to power Cloudera Machine
Learning, helping customers turn AI hype into business reality,” said Priyank Patel, Vice
President of AI/ML Products at Cloudera. “In addition to delivering powerful generative AI
capabilities and performance to customers, the results of this integration will empower
enterprises to make more accurate and timely decisions while also mitigating inaccuracies,
hallucinations, and errors in predictions – all critical factors for navigating today’s data
landscape.”


“Enterprises are eager to leverage their massive volumes of data for generative AI to build
custom copilots and productivity tools,” said Justin Boitano, Vice President of Enterprise
Products at NVIDIA. “The integration of NVIDIA NIM microservices into the Cloudera Data
Platform offers developers a way to more easily and flexibly deploy LLMs to drive business
transformation.”


Cloudera will showcase its new AI capabilities at NVIDIA GTC, the developer conference for the era of AI. The event, which will take place March 18-21 at San Jose McEnery Convention Center in San Jose, CA, brings together organizations and innovators shaping what’s next in AI and accelerated computing.

About Cloudera
At Cloudera, we believe data can make what is impossible today, possible tomorrow. We empowe people to transform data anywhere into trusted enterprise AI so they can reduce costs and risks, increase productivity, and accelerate business performance. Our open data lakehouse enables secure data management and portable cloud-native data analytics, helping organizations manage and analyze data of all types, on any cloud, public or private. With as much data under management as the hyperscalers, we’re the preferred data partner for the top companies in almost every industry. Cloudera has guided the world on the value and future of data, and continues to lead a vibrant ecosystem powered by the relentless innovation of the open-source community. Learn more at Cloudera.com and follow us on LinkedIn and X. Cloudera and associated marks are trademarks or registered trademarks of
Cloudera, Inc. All other company and product names may be trademarks of their respective owners.


Certain statements in this press release, including, but not limited to, statements as to the capabilities and integrations, are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties in our supply chain; the impact of technological development and competition; development of new products and technologies or enhancements to our existing products and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into
systems. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, Cloudera disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Last Updated on March 22, 2024 by News Editor

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