Cloudera Unveils AI Inference Service with Embedded NVIDIA NIM Microservices to Accelerate GenAI Development and Deployment

Cloudera's AI Inference service boosts LLM performance speeds by 36x using NVIDIA accelerated computing and NVIDIA NIM microservices, providing enhanced performance, robust security, and scalable flexibility for enterprises

Combined capability brings together companies’ differentiators in a single offering: Cloudera’s trusted data as the foundation for trusted AI with NVIDIA accelerated computing and the NVIDIA AI Enterprise software platform to deploy secure and performant AI applications privately on Cloudera

SANTA CLARA, Calif and NEW YORK, Oct. 08, 2024 (GLOBE NEWSWIRE) -- Cloudera, the only true hybrid platform for data, analytics, and AI, today launched Cloudera AI Inference powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform. As one of the industry’s first AI inference services to provide embedded NIM microservice capability, Cloudera AI Inference uniquely streamlines the deployment and management of large-scale AI models, allowing enterprises to harness their data’s true potential to advance GenAI from pilot phases to full production.

Recent data from Deloitte reveals the biggest barriers to GenAI adoption for enterprises are compliance risks and governance concerns, yet adoption of GenAI is progressing at a rapid pace, with over two-thirds of organizations increasing their GenAI budgets in Q3 this year. To mitigate these concerns, businesses must turn to running AI models and applications privately - whether on premises or in public clouds. This shift requires secure and scalable solutions that avoid complex, do-it-yourself approaches.

Cloudera AI Inference protects sensitive data from leaking to non-private, vendor-hosted AI model services by providing secure development and deployment within enterprise control. Powered by NVIDIA technology, the service helps to build trusted data for trusted AI with high-performance speeds, enabling the efficient development of AI-driven chatbots, virtual assistants, and agentic applications impacting both productivity and new business growth.

The launch of Cloudera AI Inference comes on the heels of the company’s collaboration with NVIDIA, reinforcing Cloudera’s commitment to driving enterprise AI innovation at a critical moment, as industries navigate the complexities of digital transformation and AI integration.

Developers can build, customize, and deploy enterprise-grade LLMs with up to 36x faster performance using NVIDIA Tensor Core GPUs and nearly 4x throughput compared with CPUs. The seamless user experience integrates UI and APIs directly with NVIDIA NIM microservice containers, eliminating the need for command-line interfaces (CLI) and separate monitoring systems. The service integration with Cloudera’s AI Model Registry also enhances security and governance by managing access controls for both model endpoints and operations. Users benefit from a unified platform where all models—whether LLM deployments or traditional models—are seamlessly managed under a single service.

Additional key features of Cloudera AI Inference include:

  • Advanced AI Capabilities: Utilize NVIDIA NIM microservices to optimize open-source LLMs, including LLama and Mistral, for cutting-edge advancements in natural language processing (NLP), computer vision, and other AI domains.
  • Hybrid Cloud & Privacy: Run workloads on prem or in the cloud, with VPC deployments for enhanced security and regulatory compliance.
  • Scalability & Monitoring: Rely on auto-scaling, high availability (HA), and real-time performance tracking to detect and correct issues, and deliver efficient resource management.
  • Open APIs & CI/CD Integration: Access standards-compliant APIs for model deployment, management, and monitoring for seamless integration with CI/CD pipelines and MLOps workflows.
  • Enterprise Security: Enforce model access with Service Accounts, Access Control, Lineage, and Auditing features.
  • Risk-Managed Deployment: Conduct A/B testing and canary rollouts for controlled model updates.

“Enterprises are eager to invest in GenAI, but it requires not only scalable data but also secure, compliant, and well-governed data,” said industry analyst, Sanjeev Mohan. “Productionizing AI at scale privately introduces complexity that DIY approaches struggle to address. Cloudera AI Inference bridges this gap by integrating advanced data management with NVIDIA's AI expertise, unlocking data's full potential while safeguarding it. With enterprise-grade security features like service accounts, access control, and audit, organizations can confidently protect their data and run workloads on prem or in the cloud, deploying AI models efficiently with the necessary flexibility and governance.”

“We are excited to collaborate with NVIDIA to bring Cloudera AI Inference to market, providing a single AI/ML platform that supports nearly all models and use cases so enterprises can both create powerful AI apps with our software and then run those performant AI apps in Cloudera as well,” said Dipto Chakravarty, Chief Product Officer at Cloudera. “With the integration of NVIDIA AI, which facilitates smarter decision-making through advanced performance, Cloudera is innovating on behalf of its customers by building trusted AI apps with trusted data at scale.”

“Enterprises today need to seamlessly integrate generative AI with their existing data infrastructure to drive business outcomes,” said Kari Briski, vice president of AI software, models and services at NVIDIA. “By incorporating NVIDIA NIM microservices into Cloudera's AI Inference platform, we're empowering developers to easily create trustworthy generative AI applications while fostering a self-sustaining AI data flywheel.”

These new capabilities will be unveiled at Cloudera's premier AI and data conference, Cloudera EVOLVE NY, taking place Oct. 10. Click here to learn more about how these latest updates deepen Cloudera’s commitment, elevating enterprise data from pilot to production with GenAI.

About Cloudera
Cloudera is the only true hybrid platform for data, analytics, and AI. With 100x more data under management than other cloud-only vendors, Cloudera empowers global enterprises to transform data of all types, on any public or private cloud, into valuable, trusted insights. Our open data lakehouse delivers scalable and secure data management with portable cloud-native analytics, enabling customers to bring GenAI models to their data while maintaining privacy and ensuring responsible, reliable AI deployments. The world's largest brands in financial services, insurance, media, manufacturing, and government rely on Cloudera to use their data to solve what seemed impossible—today and in the future.

To learn more, visit 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.

Contact

Jess Hohn-Cabana
cloudera@v2comms.com


Cloudera Unveils AI Inference Service with Embedded NVIDIA NIM Microservices to Accelerate GenAI Development and Deployment

THỦ THUẬT HAY

Cách tăng tốc internet Windows 10

Bạn 'bực mình' khi nâng cấp lên Windows 10 và cảm thấy mạng chậm đi khá nhiều, có dấu hiệu bị hạn chế băng thông khiến việc sử dụng mạng internet bị hạn chế. Dưới đây là cách tăng tốc internet Windows 10 cực kỳ hữu ích

Trải nghiệm tính năng Picture-in-Picture với phiên bản Chrome dành cho PC

Để trải nghiệm tính năng này trên trình duyệt Google Chrome dành cho máy tính, bạn tải về và cài đặt trước phiên bản Chrome Canary kèm tiện ích mở rộng Picture-in-Picture do lập trình viên Kasik96 phát triển.

Nên mua iPhone 7 hay iPhone 7 Plus?

chọn mua iPhone 7 hay iPhone 7 Plus cũng là một câu hỏi đang được khá nhiều khách hàng băn khoăn. Hãy cùng chúng tôi tìm hiểu để có được sự lựa chọn đúng đắn nhé.

Hướng dẫn cách tăng tốc độ tắt máy tính nhanh hơn

Thông thường nếu bạn muốn tắt máy máy tính, bạn chỉ cần một vài thao tác nhấp chuột là có thể “cho phép” Windows ngừng hoạt động và sau đó tiến hành ngắt kết nối điện cho máy tính. Nhưng đôi khi, bạn sẽ thấy một thông

Hướng dẫn cách cài file APK cho Droid4X

Nhưng đó không phải vấn đề quá nghiêm trọng, bởi cũng giống như BlueStacks, người dùng hoàn toàn có thể cài đặt file APK cho Droid4X bằng 2 cách đơn giản (Bài tham khảo: ' Hai cách cài đặt file APK lên BlueStacks ').

ĐÁNH GIÁ NHANH

Có nên mua Xiaomi Pad 5 không?

Xiaomi Pad 5 là mẫu tablet mới nhất nhà Xiaomi. So với các đối thủ trong cùng phân khúc, máy sở hữu rất nhiều lợi thế. Tuy nhiên, vẫn có khá nhiều người còn băn khoăn và do dự không biết có nên mua Xiaomi Pad 5 hay

Đánh giá camera Mi 5: chụp thiếu sáng ấn tượng, cân bằng trắng tốt, phơi sáng tới 32 giây

Rõ ràng, so với các thế hệ smartphone tiền nhiệm, camera của Mi 5 đã được cải tiến rất nhiều.

Đánh giá iPhone Xr: chiếc iPhone 'rẻ nhất' mới được ra mắt có gì?

Trong 3 mẫu iPhone vừa ra mắt, iPhone Xr là mẫu smartphone sở hữu nhiều điều thú vị. Nếu bạn là một người cá tính, chắc chắn phải xem qua chiếc iPhone này.