HPC-Optimized Pack for Blender 3D GPU Rendering

The Blender GPU Rendering Amazon Machine Image (AMI) is a pre-configured solution designed to offer a ready-to-use environment for professionals in 3D content creation who require high-performance GPU rendering within the AWS cloud infrastructure.

Blender is open-source, industry-standard 3D creation software that offers the entire pipeline, from modeling, rigging, and animation to simulation, rendering, compositing, and motion tracking. The AMI solution avoids the intricate setup process normally involved in setting up GPU-accelerated rendering environments, enabling creative professionals to concentrate on content creation instead of technical setup.

Key Features

• Blender Application - The current stable version of Blender, already installed and optimized for best performance with GPU acceleration. All regular Blender features are included.
• NVIDIA - Enterprise-class graphics drivers with complete support for CUDA and maximum performance from AWS GPU instances.
• Amazon DCV - Enterprise-level remote desktop protocol delivering low-latency, high-quality visual experience for remote 3D work. This integration offers secure access to the Blender environment from anywhere with low bandwidth requirements.
• GUI Interfaces - Graphical interface workflow support, with support for a range of production pipeline needs.
• Recommended GPU Instances for Blender AMI are - G4dn series, G5 series, G6 series, P3, P4, and P5 series.
• Configuration Scripts - Pre-installed automation software for environment configuration and upkeep, minimizing administrative burden and guaranteeing consistent performance.

Technica Usage Manual

1. Once subscribed to the AMI for Blender from AWS Marketplace, choose the launch through EC2 and launch.

2.  It redirects to the launch instance page, configures the required details, i.e., Name, Instance type, Keypair, Network Setting, Storage, and launches the Instance.

1. Choose the Instance type as per your requirements.

1. When the instance is successfully created, go to the EC2 Dashboard in the AWS Console, select your created instance, and copy the public IP of the instance.

2. You can view the generated password under the file “password.txt” for your DCV session. 

3. Use the obtained public IP address from the created instance (Ex: 38.84.57.81)

            

7.  Open a web browser. Navigate to: (https://:8443). Replace your instance's public IP in  ().

1. The Login Page appears for DCV

Note: Log in through the credentials provided in step 5.

             Example 

                   Username : ubuntu

                   Password : Please check the file “password.txt”

1. Next, log into DCV in the DCV terminal, activate the blender using “blender” as shown below.

1. Now, the Blender Application will be launched in the browser.

Insights & Support

• For further details about Blender and its uses, refer to the Blender.
• We will do our best to respond to your questions within the next 24 hours in business days. For any technical support or queries, please contact our Support.
• Please check out our other Containerized Cloud-Native application stacks, such as EKS, ECS, CloudFormation, and AMI - Amazon Machine Images- in the AWS Marketplace.