***
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.