Spot VMs

Related topics

• Flex-start VMs is an alternative to Spot VMs From the official documentation: “1. A cost and availability comparison of Flex-start VMs against Spot VMs for AI workloads.”
• Spot VMs is part of Compute Engine From the official documentation: “Spot VMs are virtual machine (VM) instances that are excess Compute Engine capacity.”
• managed instance group works with Spot VMs From the official documentation: “This document explains how to create a managed instance group (MIG) that uses Spot VMs.”
• Agent Platform works with Spot VMs From the official documentation: “Using Spot VMs with Agent Platform is supported only for serverless training and inference.”
• flex-start works with Spot VMs From the official documentation: “Using Spot VMs combined with flex-start provides a fallback option when Spot VMs capacity is unavailable.”
• flex-start is an alternative to Spot VMs From the official documentation: “Tip: To increase your chances of obtaining general GPU capacity, use Flex-start or Spot.”
• G2 machine series works with Spot VMs From the official documentation: “To lower your costs, you can also create G2 and G4 Spot VMs, or you can create G2 Flex-start VMs.”
• G4 machine series works with Spot VMs From the official documentation: “To lower your costs, you can also create G2 and G4 Spot VMs, or you can create G2 Flex-start VMs.”
• Spot VMs is part of GKE From the official documentation: “The following table describes the modifiable options for the termination and graceful shutdown period for Spot VMs in GKE.”
• Cloud Logging works with Customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• Customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• Cloud Storage works with Customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• 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.”
• Compute Engine is an alternative to Google Kubernetes Engine From the official documentation: “You can install MongoDB on a Compute Engine instance or you can deploy MongoDB on Google Kubernetes Engine.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• Agent Platform works with Cloud Storage From the official documentation: “Load the model's `state_dict` object into Cloud Storage by using a Agent Platform custom job:”
• Cloud Logging works with Google Kubernetes Engine From the official documentation: “As an example, if you are using GKE, you can [use Cloud Logging to query](/logging/docs/view/building-queries) for GKE cluster audit logs.”
• Customer-managed encryption keys secures Cloud Logging From the official documentation: “Cloud Logging supports encrypting Log storage with CMEK keys.”
• Customer-managed encryption keys is part of Cloud Storage From the official documentation: “[Cloud Storage](/storage/docs/introduction) provides features such as customer-managed encryption, lifecycle management, and aging and retention policies.”
• Customer-managed encryption keys secures Compute Engine From the official documentation: “In IL5, CMEK is enabled by default for Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, and Cloud SQL.”
• Customer-managed encryption keys secures GKE From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• Customer-managed encryption keys secures Google Kubernetes Engine From the official documentation: “In IL5, CMEK is enabled by default for Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, and Cloud SQL.”
• Flex-start VMs depends on Dynamic Workload Scheduler From the official documentation: “Flex-start is powered by Dynamic Workload Scheduler and is billed using [Dynamic Workload Scheduler pricing](https://cloud.google.com/products/dws/pricing):”
• Flex-start VMs works with managed instance group From the official documentation: “This document explains how to create a managed instance group (MIG) that uses Flex-start virtual machine (VM) instances.”
• G2 machine series is an alternative to G4 machine series From the official documentation: “We recommend migrating your workloads to modern GPU alternatives, specifically the **G4** or **G2** machine series.”
• Google Kubernetes Engine depends on Compute Engine From the official documentation: “Other products, such as [Google Kubernetes Engine](/kubernetes-engine) and [Dataflow](/dataflow), use Compute Engine resources and therefore, can be deployed in the same regions or zone.”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”
• managed instance group is part of Compute Engine From the official documentation: “Checks if a Compute Engine Managed Instance Group (MIG) is configured as Zonal.”
• Agent Platform works with Cloud Logging From the official documentation: “If any containers restart before Agent Platform shuts down the entire job, these containers may produce logs in Cloud Logging.”
• Agent Platform works with GKE From the official documentation: “GKE reserves memory on Agent Platform nodes.”
• Cloud Logging is an alternative to Cloud Storage From the official documentation: “When you specify your own service account for builds, you must store your build logs either in Cloud Logging or in a user-created Cloud Storage bucket.”
• Cloud Storage works with GKE From the official documentation: “Route Cloud Storage events to GKE”
• Compute Engine works with Dynamic Workload Scheduler From the official documentation: “Compute Engine uses<br>[DWS](https://cloud.google.com/blog/products/compute/introducing-dynamic-workload-scheduler) to schedule the provisioning of your requested capacity based on<br>resource availability.”
• Compute Engine works with GKE From the official documentation: “For example, Google Kubernetes Engine (GKE) can cause usage in Compute Engine.”
• Compute Engine works with Google Kubernetes 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.”
• Customer-managed encryption keys is part of Agent Platform From the official documentation: “See Agent Engine [Customer-managed encryption keys (CMEK)](/gemini-enterprise-agent-platform/scale/runtime/manage-agent-access#cmek) for more details.”
• flex-start is part of Dynamic Workload Scheduler From the official documentation: “You can use Dynamic Workload Scheduler (DWS) Flex Start mode to improve the obtainability of scarce GPU resources for your Managed Service for Apache Spark batch workloads.”
• flex-start depends on Dynamic Workload Scheduler From the official documentation: “Flex-start, powered by [Dynamic Workload Scheduler](https://cloud.google.com/products/dws/pricing), provides a flexible and cost-effective technique to consume specialized compute resources, like GPUs or TPUs, when you need to run AI/ML workloads.”
• flex-start is part of GKE From the official documentation: “This page describes flex-start in Google Kubernetes Engine (GKE).”
• flex-start is part of Google Kubernetes Engine From the official documentation: “To use flex-start in GKE, your cluster must use version 1.32.2-gke.1652000 or later.”
• flex-start depends on Google Kubernetes Engine From the official documentation: “To use the flex-start provisioning model, you must use GKE version 1.32.2-gke.1652000 or later.”
• flex-start works with managed instance group From the official documentation: “Use Flex-start for clustered managed instance group (MIG) resize requests when you need densely allocated resources for up to seven days.”
• Flex-start VMs is part of Compute Engine From the official documentation: “Compared to other types of Compute Engine instances, Flex-start VMs have the following characteristics:”
• Flex-start VMs works with G2 machine series From the official documentation: “To lower your costs, you can also create G2 and G4 Spot VMs, or you can create G2 Flex-start VMs.”
• G2 machine series is part of Compute Engine From the official documentation: “To transition your Compute Engine workloads to the recommended G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) machine series, you must move to a new compute instance.”
• G2 machine series works with Google Kubernetes Engine From the official documentation: “This document describes how you can create AI-optimized Google Kubernetes Engine (GKE) clusters that use the G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) accelerator-optimized machine series to support your artificial intelligence (AI) and machine learning (ML) workloads.”
• G4 machine series is part of Compute Engine From the official documentation: “To transition your Compute Engine workloads to the recommended G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) machine series, you must move to a new compute instance.”
• G4 machine series works with Google Kubernetes Engine From the official documentation: “This document describes how you can create AI-optimized Google Kubernetes Engine (GKE) clusters that use the G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) accelerator-optimized machine series to support your artificial intelligence (AI) and machine learning (ML) workloads.”
• GKE depends on Identity and Access Management From the official documentation: “GKE relies on and can be used with many other Google Cloud services, from IAM for access control to Cloud Billing for managing your costs.”
• Identity and Access Management secures Agent Platform From the official documentation: “Agent Platform uses Identity and Access Management (IAM) for authorization.”
• Identity and Access Management configures GKE From the official documentation: “First, as you would with most services on Google Cloud, you need to configure [IAM](/iam) roles in order to set up authorization on GKE.”