*** title: Console Reference description: >- Navigate the NVIDIA Brev web console to manage GPU instances, deployments, and teams. ------ The NVIDIA Brev console at [brev.nvidia.com](https://brev.nvidia.com) provides a web interface for managing your GPU resources, deployments, and team. ## Navigation Overview The console sidebar organizes features into these main sections: | Section | Purpose | | --------------- | ------------------------------------------------ | | **GPUs** | Create and manage GPU instances. | | **Deployments** | Manage serverless NIM deployments. | | **Blueprints** | Preconfigured environments for common workflows. | | **Launchables** | Quick-start templates for specific use cases. | | **Team** | Manage organization members and permissions. | | **Billing** | View usage, invoices, and payment methods. | ## GPU Instances The GPUs section displays all instances in your organization. ### Creating an Instance From the GPUs page, click the **Create Instance** button. Choose from available GPU types (L40S, A100, H100, etc.) based on your workload needs. * Enter an instance name * Select a base image or Launchable * Choose disk size * Optionally configure environment variables Click **Create** to provision your instance. Setup typically takes 1-2 minutes. ### Instance Details Click any instance to view its details page with: * **Status**: Current state (Running, Stopped, Starting, etc.) * **GPU**: Type and count of attached GPUs * **Uptime**: How long the instance has been running * **Disk Usage**: Current storage utilization ### Access Tab The Access tab provides connection information: **SSH Connection** * Instance hostname for direct SSH access * Command to copy: `ssh ` **Using Tunnels** Expose ports with publicly accessible URLs: 1. Enter a port number (e.g., 8888 for Jupyter) 2. Click **Add** 3. Copy the generated URL Tunnels route through Cloudflare and require browser authentication on first access. For direct API access without browser redirects, use `brev port-forward` from the CLI instead. **Port Exposure** View and manage which ports are exposed on your instance. ## Deployments The Deployments section manages serverless NVIDIA Inference Microservices (NIMs). ### Deployment List View all deployments with: * Deployment name and model * Status (Active, Deploying, Stopped) * Worker count (current / max) * Endpoint URL ### Deployment Details Click a deployment to access: * **Metrics**: Invocation counts, latency percentiles, error rates * **Logs**: Real-time deployment logs * **Settings**: Min/max workers, GPU configuration Refer to [Serverless Deployments](/guides/inference-deployment/serverless-deployments) for detailed deployment management. ## Blueprints & Launchables ### Blueprints Blueprints are preconfigured environment templates that include: * Base container image * Preinstalled packages and dependencies * Environment configuration Common blueprints include PyTorch, TensorFlow, and RAPIDS environments. ### Launchables Launchables are quick-start templates for specific use cases: * **JupyterLab**: Ready-to-use notebook environment * **VS Code Server**: Browser-based VS Code * **LLM Fine-tuning**: Preconfigured for model training Select a Launchable when creating an instance to start with everything preconfigured. ## Team Management Manage your organization's members and permissions. ### Inviting Members Click **Team** in the sidebar. Click the **Invite Member** button. Enter the email address of the person to invite. Choose their role: * **Member**: Can create and manage their own instances * **Admin**: Full organization management access ### Managing Members From the Team page you can: * View all organization members * Change member roles * Remove members from the organization ## Billing & Usage Track costs and manage payment. ### Usage Dashboard View: * Current billing period spend * Breakdown by instance and GPU type * Historical usage trends ### Payment Methods Add and manage credit cards for billing. Usage is charged at the end of each billing cycle. ### Invoices Access and download past invoices for accounting and reimbursement. ## What's Next Create your first GPU instance in minutes. Manage resources from the command line.