NVIDIA GPU-Optimized VMI

NVIDIA GPU-Optimized VMI is a virtual machine image tailored to accelerate workloads, encompassing machine learning, deep learning, data science, and high-performance computing (HPC). By deploying this VMI, you can swiftly provision a GPU-accelerated Compute Cloud VM with minimal effort. The image is based on Ubuntu and comes equipped with pre-installed NVIDIA GPU drivers, Docker, and NVIDIA container toolkit.

This VMI provides straightforward access to NVIDIA’s NGC Catalog, a repository housing GPU-optimized software. It enables you to effortlessly pull and run performance-tuned, rigorously tested, and NVIDIA-certified Docker containers. The NGC Catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI Software Development Kits (SDKs), and various resources that enable data scientists, developers, and researchers to focus on constructing and deploying solutions.

NVIDIA GPU-Optimized VMI has full certification from NVIDIA. It is optimized to deliver peak performance across an extensive spectrum of workloads on NVIDIA GPUs available in Nebius AI.

1. Create an SSH key pair.

2. Click the button in this card to go to VM creation. The image will be automatically selected under Image/boot disk selection.

3. Under Computing resources, select a platform with GPUs.

4. Under Network settings, enable a public IP address for the VM (Public IP: Auto for a random address or List if you have a reserved static address).

5. Under Access, paste the public key from the pair into the SSH key field.

6. Create the VM.

7. Connect to the VM via SSH.

8. To test the NVIDIA Container Toolkit, run a sample CUDA container: sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
   For details, see Running a Sample Workload in the NVIDIA Container Toolkit documentation.

9. To test the NGC CLI, list container images available from NGC Catalog: ngc registry image list

• Natural language processing (NLP) and translation.
• Working with images and videos: segmentation, synthesis, detecting objects, classifying and estimating facial features, emotions, and body poses.
• Automatic speech recognition (ASR, speech to text, STT), text to speech (TTS), and audio synthesis.
• Information retrieval-based question answering (IRQA).
• Healthcare applications: heart rate estimation, computational drug discovery, sequencing analysis etc.

Nebius AI does not provide technical support for the product.