We're proud to unveil our Vultr GPU Stack and Container Registry, a comprehensive solution designed to empower enterprises and startups worldwide to build, test, and operationalize AI and machine learning models at scale.
Our solution consists of the Vultr GPU Stack, which includes all the necessary drivers and software needed from the moment you deploy, and the Vultr Container Registry, offering a wide range of pre-packaged frameworks and pre-trained AI models from the NVIDIA NGC catalog and more.
Both are available across our extensive network of 32 cloud data centers on six continents, revolutionizing the speed and efficiency of AI and machine learning model development and deployment.
The Vultr GPU Stack: Simplifying AI Model Development
Developing and deploying AI and machine learning infrastructure can be complicated. We've introduced the Vultr GPU Stack, a finely tuned and integrated Ubuntu operating system with drivers and a software environment to address these challenges.
This stack is a finely tuned and integrated operating system and software environment, which instantly provisions the full array of NVIDIA GPUs, pre-configured with the NVIDIA CUDA Toolkit, NVIDIA cuDNN and NVIDIA drivers, for immediate deployment. This solution removes the complexity of configuring GPUs, calibrating them to the specific model requirements for each application, and integrating them with the AI model accelerators of choice. Models and frameworks can be brought in from the NVIDIA NGC catalog, Hugging Face, or Meta Llama 2, including PyTorch and TensorFlow. With these resources easily provisioned, data science and engineering teams across the globe can get started on their model development and training with a click of a button.
With the Vultr GPU Stack, data science and engineering teams can initiate model development and training with a single click, making the entire process hassle-free and efficient.
Vultr Container Registry: Public and Private AI Model Provisioning
We've also introduced the Vultr Kubernetes-based Container Registry to enhance the AI model development process further. This registry comprises public and private components, offering a seamless solution for sourcing NVIDIA ML models from the NVIDIA NGC catalog and provisioning them to Kubernetes clusters through our global network of cloud data centers. This enables data science, developer, and engineering teams to access pre-trained AI models anywhere globally, irrespective of their physical location.
Additionally, the private registry allows organizations to merge public models with proprietary datasets, facilitating model training and tuning based on sensitive data. The result is a global acceleration of AI model instantiation and tuning, with synchronized private registries in each region.
Unlocking AI Potential Worldwide
Vultr's commitment to facilitating global innovation extends beyond technological innovation. According to J.J. Kardwell, CEO of Constant, our parent company, "Vultr is committed to enabling innovation ecosystems around the world – from Silicon Valley and Miami to São Paulo, Tel Aviv, Tokyo, Singapore, London, Amsterdam and beyond – providing instant access to high-performance cloud GPU and cloud computing resources to accelerate AI and cloud-native innovation."
"By working closely with NVIDIA and our growing ecosystem of technology partners, we are removing access barriers to the latest technologies and offering enterprises the first composable, full-stack solution for end-to-end AI application lifecycle management," Kardwell continued. "This enables data science, MLOps, and engineering teams to build on a globally-distributed basis, without worrying about security, latency, local compliance, or data sovereignty requirements.”
"The Vultr GPU Stack and Container Registry provide organizations with instant access to the entire library of pre-trained LLMs on the NVIDIA NGC catalog, so that they can accelerate their AI initiatives and provision and scale NVIDIA cloud GPU instances from anywhere,” said Dave Salvator, director of accelerated computing products at NVIDIA.
By partnering with NVIDIA and a growing ecosystem of technology partners, Vultr removes barriers to the latest technologies and offers enterprises a composable, full-stack solution for end-to-end AI application lifecycle management. This capability enables data science and engineering teams to build on their global models without worrying about security, local compliance, or data sovereignty requirements.
Ready to accelerate your business? Learn more about Vultr Cloud GPU, browse NVIDIA NGC containers, and contact sales to get started.
