Model Garden

Related topics

• Model Garden is part of Gemini Enterprise Agent Platform From the official documentation: “The following open models are offered as managed APIs on Gemini Enterprise Agent Platform Model Garden (MaaS):”
• Cloud Storage works with Model Garden From the official documentation: “Model Garden lets you deploy [supported models](/gemini-enterprise-agent-platform/models/model-garden/self-deployed-models#supported_models) with custom weights from a Cloud Storage bucket.”
• Compute Engine reservations works with Model Garden From the official documentation: “You can deploy Model Garden models on VM resources that have been allocated through Compute Engine reservations.”
• 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”
• 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.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• Cloud Storage works with Cloud Storage FUSE From the official documentation: “Use Cloud Storage FUSE to mount a Cloud Storage bucket across all nodes.”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• BigQuery works with Colab Enterprise From the official documentation: “You can use Colab Enterprise from within the Google Cloud console, with features built into both Agent Platform and BigQuery.”
• Colab Enterprise depends on Compute Engine From the official documentation: “Colab Enterprise uses Compute Engine quota for GPUs.”
• Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
• Cloud Storage FUSE works with GKE From the official documentation: “Learn how to use Cloud Storage FUSE to optimize performance for AI and ML workloads on GKE.”
• Colab Enterprise is part of Gemini Enterprise Agent Platform From the official documentation: “Colab Enterprise is a part of Gemini Enterprise Agent Platform.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• Cloud Storage works with Colab Enterprise From the official documentation: “Colab Enterprise stores the results in Cloud Storage for you to review and share with others.”
• Cloud Storage works with Gemini Enterprise Agent Platform From the official documentation: “This page describes how to use Gemini Enterprise Agent Platform to export your image AutoML Edge models to Cloud Storage.”
• Cloud Storage FUSE depends on Cloud Storage From the official documentation: “Note that Cloud Storage FUSE successfully mounts a volume only after establishing a connection to Cloud Storage.”
• Cloud TPU works with Compute Engine From the official documentation: “You can use TPUs through Compute Engine, Google Kubernetes Engine, and Vertex AI.”
• Cloud TPU works with Gemini Enterprise Agent Platform From the official documentation: “You can use TPUs through Compute Engine, Google Kubernetes Engine, and Gemini Enterprise Agent Platform.”
• Compute Engine reservations is part of Compute Engine From the official documentation: “Reservations are a Compute Engine feature.”
• GKE works with vLLM From the official documentation: “GKE supports these quantization options with vLLM:”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• BigQuery works with Compute Engine From the official documentation: “Compute Engine integrates with Google Cloud technologies such as Cloud Storage, Google Kubernetes Engine, and BigQuery, to extend beyond the basic computational capability to create more complex and sophisticated applications.”
• BigQuery works with GKE From the official documentation: “Subsequently, by integrating BigQuery with GKE, you can use BigQuery to efficiently handle massive datasets (like Google Analytics) and the model's natural language understanding capabilities to generate meaningful insights.”
• Cloud Storage works with Cloud TPU From the official documentation: “Ensure you are using a regional Cloud Storage bucket in the same region as the TPU for training datasets and checkpoints.”
• Cloud Storage works with GKE From the official documentation: “Route Cloud Storage events to GKE”
• Cloud Storage FUSE works with Compute Engine From the official documentation: “This document describes how to automatically set default Cloud Storage FUSE values used for high-performance Compute Engine machine types, which are designed to optimize performance for demanding, high-throughput workloads.”
• Cloud Storage FUSE works with Gemini Enterprise Agent Platform From the official documentation: “Agent Platform uses [Cloud Storage FUSE](/storage/docs/gcs-fuse) to mount the storage buckets.”
• Cloud TPU works with GKE From the official documentation: “The following sections describe error messages related to TPU and GKE setups and resolutions.”
• Cloud TPU works with vLLM From the official documentation: “Cloud TPU integrates with vLLM using the `tpu-inference` plugin, which supports JAX and PyTorch models.”
• Colab Enterprise works with Compute Engine reservations From the official documentation: “Use [Compute Engine reservations](/compute/docs/instances/reservations-overview) to gain a high level of assurance that your Colab Enterprise runtimes have enough virtual machine (VM) resources to run.”
• Colab Enterprise works with Gemini Enterprise Agent Platform From the official documentation: “To learn more about using the side panel with your Agent Platform tuning jobs, see [Interact with Agent Platform to tune a model](/colab/docs/tuning).”
• Compute Engine works with GKE From the official documentation: “For example, Google Kubernetes Engine (GKE) can cause usage in Compute Engine.”
• 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 depends on Compute Engine From the official documentation: “Agent Platform trains your models by using Compute Engine resources.”
• Gemini Enterprise Agent Platform is an alternative to GKE From the official documentation: “You can deploy supported Hugging Face models in Gemini Enterprise Agent Platform or Google Kubernetes Engine (GKE).”
• Gemini Enterprise Agent Platform works with vLLM From the official documentation: “Gemini Enterprise Agent Platform uses an optimized and customized version of vLLM.”