Partner models

Related topics

• Model Garden works with Partner models From the official documentation: “Partner models can be discovered using Model Garden. You can also deploy models using Model Garden.”
• Gemini Enterprise Agent Platform works with Partner models From the official documentation: “Agent Platform offers access to [Google models](/vertex-ai/generative-ai/docs/models), [partner models](/vertex-ai/generative-ai/docs/partner-models/use-partner-models) and [open models](/vertex-ai/generative-ai/docs/open-models/use-maas) using MaaS.”
• Gen AI evaluation service works with Partner models From the official documentation: “The Gen AI evaluation service supports evaluating partner models, such as Anthropic and Llama models.”
• Cloud Storage works with Gemini Enterprise Agent Platform From the official documentation: “When you perform custom training, Agent Platform usually loads your data from Cloud Storage.”
• Gemini Enterprise Agent Platform works with Model Garden From the official documentation: “Model Garden provides built-in integration with other parts of Gemini Enterprise Agent Platform such as model tuning, evaluation, and serving”
• Batch predictions depends on Cloud Storage From the official documentation: “Batch inference for Gemini models accepts one JSON Lines (JSONL) file stored in Cloud Storage as input data.”
• Batch predictions works with Cloud Storage From the official documentation: “Make a batch prediction against a self-deployed Model Garden model by using input from BigQuery or Cloud Storage.”
• Batch predictions is part of Gemini Enterprise Agent Platform From the official documentation: “Gemini Enterprise Agent Platform supports batch predictions for the following models.”
• Batch predictions works with Gemini Enterprise Agent Platform From the official documentation: “Gemini Enterprise Agent Platform supports batch predictions for the following self-deployed models:”
• Batch predictions works with Model Garden From the official documentation: “Make a batch prediction against a self-deployed Model Garden model by using input from BigQuery or Cloud Storage.”
• Batch predictions is part of Vertex AI From the official documentation: “In the Google Cloud console console, under the Vertex AI section, go to the **Batch predictions** page.”
• Cloud Storage works with Gen AI evaluation service From the official documentation: “In the **Name and storage configuration** section, specify a name for your evaluation and a Cloud Storage bucket where your evaluations results are stored.”
• Cloud Storage works with Spanner From the official documentation: “Move Spanner databases to and from Avro or CSV files stored in Cloud Storage.”
• Cloud Storage works with Vertex AI From the official documentation: “Access Cloud Storage content through your current project's Vertex AI service agent.”
• Evaluation is part of Gemini Enterprise Agent Platform From the official documentation: “Systematically assess agent quality with tools like Multi-Turn AutoRaters and Online Evaluation for live traffic.”
• Gemini Enterprise Agent Platform depends on Cloud Storage From the official documentation: “Certain tasks in Agent Platform require that you use additional Google Cloud products besides Agent Platform. For example, in most cases, you must use Cloud Storage and Artifact Registry when you create a custom training pipeline.”
• Gemini Enterprise Agent Platform works with Gen AI evaluation service From the official documentation: “The Gen AI evaluation service parses this structure automatically to provide integration with other Gemini Enterprise Agent Platform services.”
• Gemini Enterprise Agent Platform works with Spanner From the official documentation: “MODEL DDL statements and ML functions in Spanner invoke Gemini Enterprise Agent Platform endpoints and can fail due to various reasons:”
• Gemini Enterprise Agent Platform works with vLLM From the official documentation: “Gemini Enterprise Agent Platform uses an optimized and customized version of vLLM.”
• Gen AI evaluation service is part of Evaluation From the official documentation: “Evaluate agent quality with the integrated Gen AI evaluation service.”
• Gen AI evaluation service is part of Gemini Enterprise Agent Platform From the official documentation: “The Gen AI evaluation service in Gemini Enterprise Agent Platform lets you evaluate any model with explainable metrics.”
• Model Garden is part of Gemini Enterprise Agent Platform From the official documentation: “Model Garden on Gemini Enterprise Agent Platform offers two Llama 4 models: Llama 4 Scout and Llama 4 Maverick.”
• Model Garden works with Spanner From the official documentation: “Learn how to set up a Spanner database to perform vector search and access embedding and LLM models from Model Garden using SQL.”
• Model Garden is part of Vertex AI From the official documentation: “Model Garden is a platform for discovering, testing, and deploying Google and partner AI models on Vertex AI.”
• Model Garden works with vLLM From the official documentation: “The vLLM Cloud GPUs serving container is integrated into Model Garden the playground, one-click deployment, and Colab Enterprise notebook examples.”
• Vertex AI is part of Gemini Enterprise Agent Platform From the official documentation: “Vertex AI's services are now part of Gemini Enterprise Agent Platform.”