Pre-configured operating system templates optimized for GPU-accelerated computing workloads on Vultrs platform.
Vultr GPU Enabled images for Vultr Bare Metal instances streamline the development of Artificial Intelligence (AI) and Machine Learning (ML) projects by providing pre-installed software tailored to specific GPU providers.
This results in reduced time required to set up the server before you can use it for operations like building, fine-tuning, or inferring a model. We ensure that the pre-installed softwares are tested on our infrastructure and are reliable for all your AI/ML development needs.
AMD GPU Drivers: These are software components that enable communication between an AMD graphics card and the operating system. These drivers are crucial for ensuring optimal performance, compatibility, and stability across a variety of applications, including gaming, professional graphics, and compute workloads.
ROCm Software Stack: It is a software stack is AMD's open-source platform designed to enable High-Performance computing (HPC), Artificial Intelligence (AI), and Machine Learning (ML) applications on AMD GPUs. ROCm provides a comprehensive ecosystem that includes libraries, tools, and frameworks for GPU-accelerated workloads, supporting languages such as Python, C++, and Fortran.
Docker: It is a platform for developing, shipping, and running applications inside containers.
NVIDIA GPU Drivers: They ensure to enable your computer to utilize the NVIDIA GPUs making them function properly.
NVIDIA CUDA Toolkit: It is also a set of programming tools and libraries to utilize the potential of NVIDIA GPUs, allowing users to speed up computation and parallel processing tasks.
NVIDIA Container Toolkit: It is a suite of tools, libraries, and runtime components provided by NVIDIA that enables the use of NVIDIA GPUs within containerized environments.
Docker: It is a platform for developing, shipping, and running applications inside containers.
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