Google Cloud has consistently prioritized flexibility, robust governance, and exceptional price-performance, paving the way for customers to manage workloads effectively across various models and infrastructure. This commitment to openness is further enhanced by the introduction of OpenAI models within Google Cloud’s model garden.
As a result, Google Cloud is now the sole hyperscale cloud provider offering all three leading proprietary large language models (LLMs) alongside an extensive collection of more than 200 first-party, third-party, and open-source models, all accessible through a unified enterprise AI platform.
Tailored Models for Every Enterprise Need
In the realm of modern enterprise AI, it’s crucial to align specific workloads with the appropriate model instead of relying on a one-size-fits-all approach. With the addition of OpenAI’s latest models to the model garden, organizations can choose from a broad array of options tailored to various enterprise workloads. Here’s a brief overview of the new OpenAI models:
- **GPT-6 Astra**: Tailored for high-demand tasks including coding, advanced computer operations, professional applications, and scientific research. - **GPT-6.1 Sol**: Offers capabilities close to Astra at a more economical rate, ideal for agentic coding and professional tasks. - **GPT-6 Luna**: A cost-efficient model optimized for everyday work across larger scales.
The platform empowers customers to conveniently select and switch between the optimal model for any specific use case while considering factors like performance, latency, and cost-effectiveness, all without the constraints of architectural lock-in or various vendor contracts. Developers enjoy a wealth of options with hundreds of models at their disposal in the model garden. Because the OpenAI models are accessed directly via the Google Cloud Marketplace, all usage is consolidated into a single Google Cloud invoice, contributing toward existing cloud commitments and Flexible Savings Plans (FSP) across all model providers.
Robust Data Governance and Enterprise Security
The expansion of generative AI capabilities doesn't have to come at the cost of compliance or security. The Gemini platform has been meticulously designed for enterprise governance, establishing trust among prominent global organizations. We guarantee that utilizing any third-party or OpenAI workload aligns with stringent enterprise standards:
- **Strict Data Perimeters**: Customer interactions, including prompts, context, and outputs, remain within the designated data perimeter and are not utilized for training foundational models. Zero Data Retention (ZDR) options will be available shortly.
- **Isolated Access Boundaries**: OpenAI models operate on dedicated Google Cloud infrastructure, with Confidential Compute expected soon. All queries pass through fortified, isolated gateways, ensuring data transit remains secure within Google Cloud, while preventing unauthorized access from third-party model providers.
- **Unified Auditing and Identity Management**: Every interaction involving an agent or model is governed by an authenticated identity, granting IT administrators comprehensive visibility, VPC Service Controls protection, and consistent audit logging across their enterprise infrastructure.
Getting Started
The rollout of OpenAI’s GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna models is underway, now in private preview for select enterprise clients within Google Cloud's model garden, with additional options on the horizon. Beginning today, customers can integrate these models through our APIs and link their local Codex CLI and Desktop workflows directly to the Gemini platform for inference. Interested users are encouraged to express their interest via the provided form.
In the near future, OpenAI models will be accessible in Google Cloud’s Gemini for business and Google Antigravity, providing enterprise users and developers with flexibility in selecting the most suitable model for each task.
