On March 19, 2024, Anthropic’s Claude 3 Haiku and Claude 3 Sonnet models became generally available on Google Cloud’s Vertex AI platform. The rollout enables enterprise customers to prototype and scale generative AI solutions while using Google Cloud’s infrastructure and toolset.
What this brings to enterprises
- Customers can keep their data within their existing cloud environment, which helps with data ownership and governance.
- The integration aims to simplify data governance, reduce operational costs and complexity, and make permission management easier.
- With Google Cloud’s infrastructure and tools, organizations can apply enterprise-grade privacy and security controls to their generative AI deployments.
According to the announcement, general availability will allow more organizations to access safer, more reliable AI solutions on the cloud platform of their choice.
Spotlight: Quora and Poe
Quora’s Poe app has already integrated Claude models and reports positive outcomes. Spencer Chan, Product Lead at Poe by Quora, said: "At Poe, we’re helping shape how people interact with AI, providing millions of global users with one place to chat, explore and build with a wide variety of AI-powered bots. Claude has become very popular on Poe due to its strengths in multiple areas, including creative writing and image understanding. Our users describe Claude’s answers as detailed and easily understood, and they like that exchanges feel like natural conversations. With millions of messages exchanged between our users and Anthropic’s Claude-based bots daily, we’re excited to work with Anthropic’s Claude 3 models on Vertex AI."
How to get started
To start building with Claude 3 Haiku and Claude 3 Sonnet on Vertex AI, users should select the desired model in the Model Garden console. The announcement also notes that Claude 3 Opus, described as Anthropic’s most capable and intelligent model to date, will be available on Vertex AI in the coming weeks.
Summary
The Anthropic–Google Cloud collaboration provides a path for companies to develop and deploy generative AI with enterprise-level privacy and security while retaining control over their data and reducing operational burdens.
