New Partners Join Cloudera’s AI Ecosystem
Cloudera, a hybrid platform for data, analytics, and AI, today announced the expansion of its Enterprise AI Ecosystem during its annual data and AI conference, EVOLVE24 New York. This initiative brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for customers, helping to maximize the value of AI.
Large Enterprises’ AI Requirements
Large enterprises have specific requirements for running AI applications at scale, including:
- Demonstrating business value that justifies the total cost of ownership within a reasonable timeframe
- Adhering to strict security and privacy standards to protect sensitive data and maintain compliance
- Maintaining the flexibility to deploy a diverse range of models from a broad selection of vendors in the optimal environment for each use case
Founding Members
At last year’s EVOLVE conference, Cloudera launched the Enterprise AI Ecosystem, with founding members:
- NVIDIA, providing full-stack accelerated computing for the development and deployment of AI workloads in private and public clouds
- Amazon Web Services (AWS), with Amazon Bedrock, allowing customers to build and scale generative AI applications with a single API
- Pinecone, offering its leading vector database, underpinning the most common technical AI use cases: Retrieval-Augmented Generation (RAG) and semantic search
New Partners
Over the last year, the Enterprise AI Ecosystem has generated significant inbound interest and a steady flow of requests for Cloudera to build on its existing AI partners and establish new ones. Now, Cloudera is proud to introduce its newest set of AI Ecosystem partners at EVOLVE24 New York. They are:
- Google Cloud, providing a centralized hub for discovering, customizing, and deploying a diverse range of models, including a selection of over 150 first-party, open, and third-party foundation models
- Anthropic, offering large language models (LLMs) ideal for code generation, vision analysis, data insight, and text generation use cases
- Snowflake, building on its strategic collaboration with Cloudera, providing interoperability with Cloudera, facilitating the sharing of data to feed AI use cases
Accelerators and Integration
Cloudera has released several Accelerators for Machine Learning Project (AMP) to help customers quickly deploy AI applications. These include:
- "Summarization with Gemini from Vertex AI"
- "Image Analysis with Anthropic’s Claude LLM"
- "AI Coding Co-pilot with Anthropic’s Claude LLM"
- "SQL Generation with Snowflake’s Arctic Embed models"
Conclusion
Cloudera’s Enterprise AI Ecosystem is designed to cater to the complex and continually evolving enterprise-grade security, privacy, authorization, and LLM demands of major organizations. With the addition of new partners, Cloudera is delivering a fully integrated Enterprise AI platform, built on leading models and knowledge bases, to further production-ready high-fidelity solutions delivered with experts by your side.
FAQs
Q: What is Cloudera’s Enterprise AI Ecosystem?
A: Cloudera’s Enterprise AI Ecosystem is an initiative that brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for customers.
Q: What are the requirements for large enterprises running AI applications at scale?
A: Large enterprises have specific requirements for running AI applications at scale, including demonstrating business value, adhering to strict security and privacy standards, and maintaining flexibility in deploying AI models.
Q: Who are the founding members of Cloudera’s Enterprise AI Ecosystem?
A: The founding members of Cloudera’s Enterprise AI Ecosystem are NVIDIA, Amazon Web Services (AWS), and Pinecone.
Q: Who are the new partners joining Cloudera’s Enterprise AI Ecosystem?
A: The new partners joining Cloudera’s Enterprise AI Ecosystem are Google Cloud, Anthropic, and Snowflake.
