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

Hướng dẫn cách tạo tài khoản ID Apple Nhật Bản theo biểu mẫu mới nhất

Nhằm hỗ trợ tốt hơn cho chủ đề Free App hằng ngày, TCN xin hướng dẫn các bạn cách tạo tài khoản ID Apple Nhật Bản theo biểu mẫu đăng ký mới nhất 2018, đặc biệt là không cần xác mình hình thức thanh toán như Master Card

Tùy biến icon và Control Center, chặn thông báo cập nhật, độ phân giải màn hình trên iPhone không cần phải Jailbrea

Việc Jailbreak máy sẽ khiến chiếc iPhone gặp khá nhiều lỗi phát sinh, điều mà không ai muốn.

Convert file ODS thành XML, PDF và các định dạng khác

Chính vì sự đặc biệt đó mà mỗi khi phải làm việc với loại văn bản này, người ta thường convert *.ods sang PDF hoặc chuyển định dạng *.ods sang định dạng khác phổ biến hơn, được hỗ trợ nhiều hơn. Và công cụ mà chúng ta

Hướng dẫn chi tiết cách chuyển ảnh thành văn bản với Convertio

Với Convertio Online, người dùng có thể chuyển hình ảnh thành văn bản, chuyển đổi định dạng âm thanh, chuyển đổi font chữ, chuyển đổi định dạng video... Ngoài việc cho phép tải lên file từ máy tính, Convertio Online

Mẹo giải phóng bộ nhớ iPhone mà không cần xóa dữ liệu cá nhân

Có ngay 1 đến 2 GB bộ nhớ cho iPhone mà không cần xóa bớt bất kì dữ liệu cá nhân nào, chỉ cần thực hiện theo một vài bước đơn giản sau đây.

ĐÁNH GIÁ NHANH

Liệu Honda HR-V có thực sự hấp dẫn người tiêu dùng Việt với giá bán cắt cổ?

Thị trường xe Việt Nam là một thị trường rất đặc biệt, thường không tuân theo bất cứ quy luật nào trong khu vực hoặc trên bình diện toàn cầu. Trên thực tế, tôi gõ những dòng cuối cùng trong bài review này khi đang công

Razer Blade 15 (2018): Thanh mảnh nhưng vẫn mạnh mẽ như cỗ máy PC gaming thực thụ

Năm nay, Razer đã cách mạng hóa dòng Blade lên hẳn một tầm cao mới, hãng đã bỏ hoàn toàn phiên bản 14-inch để thay thế phiên bản 15-inch, nhưng kích thước vẫn gần như không thay đổi nhờ viền màn hình siêu mỏng, và đây

Đánh giá sức mạnh của Snapdragon 8+ Gen 1 trên Xiaomi

Thời gian trước khi Snapdragon 8 Gen 1 ra mắt đã gây thất vọng trong hầu hết các bài thử nghiệm do điều chỉnh quá nặng, hiệu suất kém và nhiệt kém. Chính vì thế NSX Qualcomm đã có sự điều chỉnh nâng cấp và hoàn thiện