Bansir NVIDIA GPU-Optimized VMI with vGPU driver

Bansir NVIDIA GPU-Optimized VMI with vGPU driver – Pre-Configured with 24/7 Support for Bansir Maximize GPU performance for your Deep Learning, Machine Learning, and High-Performance Computing (HPC) applications with this fully pre-configured, ready-to-use virtual machine. This image is designed to be deployed on a NVadsA10 v5-series Azure VM instance, certified by NVIDIA for maximum performance on NVIDIA GPUs. It eliminates the complexity of manual driver and software installation, letting your teams focus on building and deploying solutions from the first boot. This VMI provides quick and easy access to NVIDIA NGC, the hub for GPU-optimized software. NGC offers free access to performance-validated containers, pre-trained models, AI SDKs, and other resources to enable data scientists, developers, and researchers to focus on building solutions, gathering insights, and delivering business value. Business Continuity & Expert Assistance: Includes specialized 24/7 Support for Bansir and round-the-clock technical support. Our team provides rapid incident resolution, proactive monitoring, and configuration advisory, minimizing downtime for your critical AI and HPC infrastructure. Ready-to-Use: Launch and immediately begin developing and deploying AI and HPC workloads without manual setup of GPU drivers or development tools. Key Features & Benefits: -NVIDIA GPU-Optimized VMI: Pre-configured for maximum performance on NVIDIA GPUs. -vGPU Driver Included: Comes with the NVIDIA GRID driver pre-installed. -NVIDIA NGC Integration: Easy access to performance-validated containers, pre-trained models, and AI SDKs. -Pre-Installed Tools: Includes Docker-ce, NVIDIA Container Toolkit, Azure CLI, NGC CLI, Miniconda, JupyterLab, and Git. -Azure Optimized: Seamless integration with Azure services and infrastructure. Use Cases: -Deep Learning model training and inference. -Machine Learning development and deployment. -High-Performance Computing (HPC) workloads. -Data Science research and experimentation. -AI Application Development with NVIDIA-optimized containers. Technical Specifications: -Software: NVIDIA GPU-Optimized VMI with vGPU driver -OS: Ubuntu Server 20.04 -Instance Support: NVadsA10 v5-series Azure VM instances -Pre-Installed: NVIDIA GRID Driver, Docker-ce, NVIDIA Container Toolkit, Azure CLI, NGC CLI, Miniconda, JupyterLab, Git -Support: 24/7/365 via ticketing, email, and remote assistance – Support for Bansir and 24/7 technical support included.