Cloudera launches multiple functions integrating NVIDIA microservices: unlocking data potential and accelerating enterprise generative AI applications

Remus Lim, Senior Vice President of Cloudera Asia Pacific, emphasized the complementarity between NVIDIA’s leading position in artificial intelligence computing and Cloudera’s expertise in data management. relation. He said that the cooperation between the two will help customers build models that can provide highly accurate data and insights. These models will run in a secure machine learning (ML) environment, trusted by the enterprise, and able to meet changing needs. Lim emphasized that they are excited to assist customers in accelerating their AI journey, achieving a seamless transition from the AI exploration and experimentation stage to large-scale deployment across the entire organization.

Beijing, March 20, 2024 - Recently, Cloudera, a trusted enterprise artificial intelligence data company, announced to further expand its cooperation with NVIDIA.Cloudera Powered by NVIDIAwill bring enterprise-classNVIDIA NIMto the NVIDIA AI Enterprise software platformMicroservicesIntegrated into the AI/ML workflow service Cloudera Machine Learning on Cloudera Data Platform to provide customers with Fast, secure and streamlined, production-grade end-to-end generative AI workflows.

When combined with a comprehensive full-stack platform optimized for large language models (LLM), enterprise data plays a crucial role in driving enterprise generative AI applications from pilot to production. important role. With NVIDIA NIM and NeMo Retriever microservices, developers can correlate AI models with their business data (including text, images, and various visualizations such as bar charts, line charts, and pie charts, etc.) to generate highly accurate and Answers that fit the context. NVIDIA AI Enterprise provides a runtime optimized for building, customizing, and deploying enterprise-grade LLM, through which developers using the above microservices can deploy applications. Cloudera Machine Learning leverages NVIDIA microservices to apply high-performance AI workflows, AI platform software and accelerated computing to data, enabling customers to unlock value from the enterprise data they entrust Cloudera to manage.

Cloudera has partnered with NVIDIA to launch a series of features integrating NVIDIA microservices. Cloudera Machine Learning will improve model inference performance for all workloads by integrating model and application services powered by NVIDIA microservices. This new AI model service feature will enable fault tolerance, low-latency service and automatic scaling for models deployed by customers on both public and private clouds. In addition, Cloudera Machine Learning will provide the ability to integrate NVIDIA NeMo Retriever microservices to simplify the connection of custom LLM to enterprise data. Users can take advantage of this feature to build production-level applications based on Retrieval Augmented Generation (RAG).

Cloudera has previously partnered with NVIDIA to leverage GPUs to optimize data processing by integratingNVIDIA RAPIDS Accelerator for Apache Sparkto Cloudera Data Platform . Now, with the addition of the NVIDIA Microservices Initiative and integration with NVIDIA AI Enterprise, Cloudera Data Platform is the platform that delivers streamlined end-to-end hybrid AI pipelines.

In the future, enterprises across all industries will be able to more quickly and intuitively build, customize and deploy LLM that supports transformative generative AI, including coding collaborative robots that accelerate development times, Applications ranging from chatbots to automate customer interactions and services, text summarization applications to quickly process documents, streamlined contextual search, and more. These innovative technologies make data and advanced AI processes across the enterprise simpler and faster, minimizing time to business value, increasing revenue streams and optimizing costs.

Priyank Patel, vice president of Cloudera AI/ML products, pointed out that Cloudera is actively integrating NVIDIA NIM and CUDA-X microservices to enhance the capabilities of Cloudera Machine Learning and help customers integrate artificial intelligence Trends translate into real business results. This integration not only provides customers with powerful generative AI capabilities and performance, it will also enable enterprises to make more accurate and timely decisions while reducing inaccuracies, illusions and errors in forecasts. These factors are all critical elements in adapting to the current data environment.

Justin Boitano, vice president of enterprise products at NVIDIA, emphasized that enterprises urgently need to exploit massive data to develop generative AI to create customized assistance systems and productivity tools. By integrating NVIDIA NIM microservices into Cloudera Data Platform, developers can more easily and flexibly deploy LLM that supports business transformation.

Cloudera will showcase new AI capabilities at the Developer Summit in the AI EraNVIDIA GTC. This GTC was held from March 18th to 21st at the San Jose McNairy Convention Center in San Jose, California. Participants included companies and innovators influencing the next development direction of AI and accelerated computing.

***

About Cloudera

at At Cloudera, we firmly believe that data has the ability to make today’s impossible possible tomorrow. Cloudera can transform data placed in different places into trusted enterprise artificial intelligence, thereby reducing costs and risks, improving productivity and accelerating business development. Regardless of whether the data resides in a public cloud or private cloud environment, our open integrated lake and warehouse solution can help secure data management and effective transplantation of cloud-native data analysis, helping enterprises manage and analyze all types of data.

By managing massive amounts of data similar to that of large cloud service providers, Cloudera has become one of the preferred data partners for leading enterprises around the world. Through the continuous exploration of the value of data and the unremitting exploration of the future of data, Cloudera has always promoted industry changes. At the same time, relying on the continuous innovation of the open source community, Cloudera will continue to contribute to creating a vibrant ecosystem.

Statements in this press release, including, but not limited to, statements regarding functionality and integrations, are forward-looking statements. These statements are subject to various uncertainties that may cause actual results to differ from expectations. Important factors that could affect actual results include: global economic conditions; reliance on third parties in the supply chain; the impact of technological developments and competition; the development of new products and technologies or improvements to existing products and technologies; our products or the products of our partners market acceptance; design, manufacturing or software defects; changes in consumer preferences or needs; changes in industry standards and interfaces; unexpected performance losses when a product or technology is integrated into a system. These forward-looking statements are not guarantees of the future and speak only as of today. Cloudera assumes no obligation to update these forward-looking statements to reflect future events or circumstances, except as required by law.